Agent Skill Library
104 SKILL.md files for revenue agents, with the receipts
Every entry shows the complete SKILL.md file, where it came from, the GitHub star count when the source is public, and why it earned a place here. Copy it, download it, run it. Below the library sits a directory of 120 public GTM skills found on GitHub, with stars and licenses.
Looking for the plain-language versions with worked examples? Those live in the Skills and Prompts library, alongside the prompt library.
Showing 17 skill packages and 104 individual skill files.
Suite
The Content Engine: seven skills that run as one pipeline
Interview, draft, edit, hooks, repurpose, retro, and the runner that calls them in order. Read each file below, or get all seven, the helper scripts, and the setup readme in one place.
Open the suite →Skill kit
S.C.A.L.E. v1.2 Plugin
One Claude plugin that walks you through Set, Chart, Align, Launch, and Evolve, asking what it needs and writing one file per step. Pick fast (about an hour) or in-depth (one step per sitting). The download is the complete package: the plugin, copy-paste prompts for other AI tools, and the walkthrough PDF.
Skill kit
Granola to Claude: GTM Call Stack
Transcripts capture everything the buyer said and nothing about what you noticed. This stack adds the human layer back in, strips the noise, and turns each call into scored, cited records for deals, coaching, customer health, voice of customer, and follow-up. The download is the complete package: twelve skills, Granola Recipes, worked examples, and the class runbook.
Skill kit
Substrate Builder Package
Turn a loose classification or scoring prompt into explicit rules, then test whether different runs and models return the same answer. The download includes the skill, scripts, templates, references, and worked examples.
Skill kit
AI Opportunity to 90-Day Plan Kit
A guided walkthrough that asks one question at a time for 25 to 40 minutes. You finish with one file: your highest-leverage AI opportunity, who does what between people and AI, a 90-day plan, a three-minute pitch, and an email to your manager.
Skill kit
SCALE: AI Program Kit
Nineteen skills that take a revenue org from a named business outcome to a governed AI program: Set the outcome, Chart the friction, Align the fix to the right kind of AI, Launch a pilot, Evolve it into an operating rhythm.
Skill kit
GTM AI OS Kit
Eleven skills that run account work as a loop: KNOW why you win and what each account needs, DECIDE which accounts to act on, ACT with evidence-based messages checked by a separate evaluator, LEARN from what changed each week.
Suites
Every prompt, also as a skill file
All 236 prompts in the library ship as SKILL.md files too, grouped into 10 suites by the job they do. Same prompt text, plus the inputs, process, decision rules, quality checks, and guardrails. Take one file or a whole suite.
Showing 104 of 104 skill files.
- MarketingShip-readyRubric 4.58 of 5
Auditing Brand Distinctiveness
Scores brand assets on fame and uniqueness and issues build, protect, sharpen or retire decisions per asset
Source: Report research library
- RevOpsShip-readyRubric 4.55 of 5
Auditing CRM Data Hygiene
Runs a six-class CRM data quality audit and produces a severity-ranked remediation plan with owners and prevention rules
Source: Report research library
- RevOpsUsable with fixesRubric 4.18 of 5
Auditing gtm AI Stack
Audits purchased GTM AI tools for overlap, data flow, adoption, and evidence-backed value into keep or kill decisions
Source: Report research library
- Revenue LeadershipUsable with fixesRubric 4.15 of 5
Building Board Revenue Reporting
Builds the board revenue package: ARR bridge, cohort retention, efficiency metrics, pipeline health, and the miss narrative
Source: Report research library
- EnablementUsable with fixesRubric 4.25 of 5
Building Competitive Battlecards
Builds one-page competitive battlecards with trap-setting questions, tiered objection handling, and unconsidered-needs framing
Source: Report research library
- SalesShip-readyRubric 4.61 of 5
Building Deal Close Plans
Builds a buyer-agreed mutual action plan with dated milestones, stakeholder coverage, and the paper path to signature.
Source: Report research library
- Business DevelopmentUsable with fixesRubric 4.44 of 5
Building ICP and Target Lists
Derives ICP from closed-won data, sizes TAM/SAM/SOM, tiers accounts, and builds an enriched target list
Source: Report research library
- EnablementUsable with fixesRubric 4.15 of 5
Building Onboarding Ramp Plans
Designs a phased seller ramp with role-mapped competencies, observable milestones, and certification gates blocking live selling
Source: Report research library
- AI GTMUsable with fixesRubric 4.04 of 5
Deploying AI SDR Programs
Pilots and scales AI outbound against a human control group with deliverability gates and honest reply-rate targets
Source: Report research library
- AI GTMUsable with fixesRubric 3.96 of 5
Designing Agentic Revenue Workflows
Designs agentic revenue workflows with autonomy levels, human checkpoints, eval harness, failure modes, and rollback triggers
Source: Report research library
- MarketingUsable with fixesRubric 4.33 of 5
Designing Category Narrative
Builds a point-of-view-led category narrative with problem frame, category name and lightning strike plan
Source: Report research library
- Business DevelopmentUsable with fixesRubric 4.46 of 5
Designing Outbound Sequences
Builds a multichannel sequence matrix by tier and persona with message structure, cadence, exit rules, and reply-rate instrumentation
Source: Report research library
- Revenue LeadershipUsable with fixesRubric 4.29 of 5
Designing Sales Compensation
Designs pay mix, bottoms-up quotas, commission rates, accelerators, and plan terms, then stress-tests the plan for gaming
Source: Report research library
- RevOpsShip-readyRubric 4.59 of 5
Designing Territories and Quotas
Carves balanced territories, sizes capacity from productivity and ramp, and sets quotas that roll up to plan with coverage math
Source: Report research library
- RevOpsShip-readyRubric 4.73 of 5
Forecasting Pipeline Coverage
Derives coverage targets from win rate, runs gap-to-plan by stage and segment, and reconciles bottoms-up against top-down forecasts
Source: Report research library
- SalesShip-readyRubric 4.55 of 5
Handling Buyer Indecision
Separates status-quo preference from buyer indecision and builds a JOLT play that removes personal risk.
Source: Report research library
- RevOpsUsable with fixesRubric 4.25 of 5
Modeling Saas Revenue Metrics
Computes NRR, GRR, CAC payback, magic number, Rule of 40/X and a balanced ARR bridge, then scores each against private-SaaS benchmark quartiles
Source: Report research library
- MarketingUsable with fixesRubric 4.36 of 5
Optimizing for AI Search
Makes a brand retrievable and quotable by answer engines using RAISE, then measures citation share honestly
Source: Report research library
- Revenue LeadershipUsable with fixesRubric 4.05 of 5
Planning cro First 90 Days
Sequences a new revenue leader's 90 days: diagnostic, quick wins, team and process decisions, and installed operating cadence
Source: Report research library
- MarketingUsable with fixesRubric 4.37 of 5
Planning Demand Generation
Allocates quarterly budget across demand creation and capture and designs separate measurement for each bucket
Source: Report research library
- Customer SuccessUsable with fixesRubric 4.45 of 5
Planning Renewals and Expansion
Forecasts renewals with explicit risk categories and sequences land-and-expand growth against NRR targets
Source: Report research library
- MarketingUsable with fixesRubric 4.37 of 5
Positioning a b2b Product
Runs Dunford's five-component positioning process on real deal evidence and outputs a positioning canvas
Source: Report research library
- Customer SuccessUsable with fixesRubric 4.30 of 5
Preventing Churn
Diagnoses the churn driver, runs the matching save play, and fixes time-to-value at the source
Source: Report research library
- Business DevelopmentShip-readyRubric 4.62 of 5
Protecting Email Deliverability
Configures and monitors sending infrastructure against bulk-sender rules and diagnoses deliverability failures by SMTP error code
Source: Report research library
- SalesUsable with fixesRubric 4.12 of 5
Qualifying With Meddpicc
Scores an enterprise deal Red/Yellow/Green on all eight MEDDPICC elements and builds a dated gap-closure plan.
Source: Report research library
- SalesUsable with fixesRubric 4.12 of 5
Running Discovery Calls
Plans and reviews discovery calls with SPIN sequencing and Gap Selling diagnosis to quantify the buyer's gap.
Source: Report research library
- Customer SuccessShip-readyRubric 4.53 of 5
Running Executive Business Reviews
Plans and runs QBRs and EBRs that prove outcomes against stated success criteria and open expansion
Source: Report research library
- Revenue LeadershipUsable with fixesRubric 4.45 of 5
Running Forecast Calls
Runs a weekly forecast call with hard category entry criteria, evidence-band deal inspection, and a fixed 60-minute agenda
Source: Report research library
- Business DevelopmentShip-readyRubric 4.51 of 5
Running Signal Based Plays
Maps buying signals to plays with response SLAs and routing rules, suppresses signal noise, and instruments signal-sourced pipeline
Source: Report research library
- EnablementUsable with fixesRubric 4.44 of 5
Running win Loss Analysis
Runs a buyer-interview win/loss program from sampling through coding to audience-specific findings with named owners
Source: Report research library
- Customer SuccessShip-readyRubric 4.51 of 5
Scoring Customer Health
Designs, weights, and back-tests a 0-100 customer health score so it actually predicts churn
Source: Report research library
- EnablementShip-readyRubric 4.65 of 5
Scoring Sales Calls
Scores a recorded sales call on a weighted behavioral rubric against Gong benchmarks and returns one focus behavior
Source: Report research library
- Executive
Classifying AI Ambition With OAR
Connect a strategic outcome to its metric driver and operating constraint, then classify the AI ambition as Optimize, Amplify, or Reinvent.
Source: Report framework library
- RevOps
Climbing OAR Levels With Sling
Sequence AI change through a live revenue org in five moves so the organization gains levels without a rollback catastrophe, and name the skipped move when an initiative has already failed.
Source: Report framework library
- Revenue Finance
Detecting Optimization Theater
Test whether an AI program is producing reporting artifacts instead of revenue movement, and hand back the counter-pattern rather than a verdict alone.
Source: Report framework library
- Marketing
Earning Agent Citations With Agent
Score one page out of five against the five AGENT checks and fix the checks it fails, so an answer engine can parse, verify, and attribute it.
Source: Report framework library
- Revenue Finance
Measuring the Proof gap
Produce one organization-level quarterly ratio of AI spend to verified AI-influenced pipeline that survives finance scrutiny, and read it against the published thresholds.
Source: Report framework library
- Enablement
Ramping AI Behavior Change With Lopaft
Name the single rung of the adoption ladder an AI rollout is stuck on, then prescribe the fix that rung requires.
Source: Report framework library
- RevOps
Reading a Deployment Across Eight Seats
Read one AI deployment from eight functions so the conclusion cannot be disproved by a seat that was never asked, and report it on the thirty-two cell Eight-Seat Read scorecard.
Source: Report framework library
- Executive
Running a Scale AI Adoption Plan
Turn an unfocused AI ambition into a five-week operating plan where every step ends in a deliverable and week five ends in a measured scale-or-kill decision.
Source: Report framework library
- RevOps
Running an AI Reversal Post Mortem
Turn one shut-off AI deployment into a verified, coded, publishable Reversal Ledger row with disclosed sunk spend.
Source: Report framework library
- Revenue Finance
Scoring an AI Initiative With Proof
Score one AI initiative out of five on the PROOF checks and return a scale, fix, or kill verdict that survives a CFO review.
Source: Report framework library
- Executive
Testing AI Category Durability With Renew
Answer five questions about one AI product and produce a directional call on whether it is a durable category or a feature the platform absorbs.
Source: Report framework library
- RevOps
Threading Build buy Decisions
Label every layer of a revenue AI stack build, buy, or buy and thread, so competitive edge concentrates in the layers only you can build.
Source: Report framework library
- Sales
Competitor Intelligence Agent
Two-mode competitive intelligence agent. Quick Strike grades a competitor's top claims from two URLs in about three minutes and returns a one-screen card. Full Pack runs a guided intake interview, harvests 8 to 12 claims per company, grades each on an A to D evidence scale, and delivers a complete pack: evidence scorecard, claim ledger, SWOT, objections, landmines, follow-up emails, marketing plays, and a talk track where only A and B claims are stated as fact.
Source: Submitted by a reader of The Revenue AI Report. Reviewed and published as received.
- Business Development
Signal to Buying Committee
Converts a single business trigger into an actionable account plan. Verifies the signal and grades its confidence, resolves the right company record, writes a calibrated buying hypothesis, designs a three-role committee with title families rather than one guessed title, previews candidates through free search, recommends a lean enrichment shortlist with a credit estimate, checks the CRM before spending anything, and outputs an account activation brief with routing, SLA, trigger expiry, and open questions.
Source: Submitted by a reader of The Revenue AI Report. Reviewed and published as received.
- Marketing
Content Engine
The orchestrator. Writes no content itself. Confirms the topic, creates a dated run folder, then hands each step the file the last one produced: interview.md, draft.md, edited.md, hooks.md, repurposed.md, and a retro that appends rules to learnings.md.
Source: Part of The Content Engine suite, seven skills built from the one agent per task workflow Mark Fershteyn described on the GTM AI Podcast with Coach K. Published as received.
- Marketing
Content Interviewer
Narrows the topic to one takeaway, then asks at least ten questions, one at a time, across five layers: story, proof, mistake, opinion, and reader. Saves the raw answers to interview.md so the drafter never has to invent anything.
Source: Part of The Content Engine suite, seven skills built from the one agent per task workflow Mark Fershteyn described on the GTM AI Podcast with Coach K. Published as received.
- Marketing
Content Drafter
Builds a five-line skeleton (open, stakes, body, opinion, close) and checks each line against the interview before writing. Invents nothing, traces every claim to a source, and deliberately runs a little long so the editor has material to cut.
Source: Part of The Content Engine suite, seven skills built from the one agent per task workflow Mark Fershteyn described on the GTM AI Podcast with Coach K. Published as received.
- Marketing
Content Editor
Three passes in order: structure, line edit, then voice match against your own writing samples. Targets a 20 to 40 percent cut while keeping every fact, then runs lint_copy.py to flag em dashes, AI tells, hedges, and long paragraphs.
Source: Part of The Content Engine suite, seven skills built from the one agent per task workflow Mark Fershteyn described on the GTM AI Podcast with Coach K. Published as received.
- Marketing
Hook Writer
Produces five opening lines from the finished piece, scores each on specificity, tension, and clarity, validates length with check_hooks.py, and recommends one with a runner-up so the next channel can test the alternative.
Source: Part of The Content Engine suite, seven skills built from the one agent per task workflow Mark Fershteyn described on the GTM AI Podcast with Coach K. Published as received.
- Marketing
Content Repurposer
Reshapes one edited piece for LinkedIn, X, newsletter, and short video, each to its own length and structure spec, then runs check_lengths.py against the channel limits. Every version has to stand alone.
Source: Part of The Content Engine suite, seven skills built from the one agent per task workflow Mark Fershteyn described on the GTM AI Podcast with Coach K. Published as received.
- Marketing
Content Retro
Asks three questions after the piece is done and converts the answers into short dated rules in learnings.md. Every other skill in the suite reads that file and treats its rules as overrides.
Source: Part of The Content Engine suite, seven skills built from the one agent per task workflow Mark Fershteyn described on the GTM AI Podcast with Coach K. Published as received.
- AI GTM
Scale Start
The entry point for S.C.A.L.E. Triggers on any vague start, including "please run this for me", "run this", "run SCALE", "start", "let's go", "walk me through this", "what do I do", "where am I", or "what's next". First asks fast or in-depth, then walks the user through Set, Chart, Align, Launch, and Evolve, asking questions and writing one file per step. In fast mode it keeps going from step to step without being asked.
Source: Built by Jonathan Kvarfordt (Coach K). Package v1.2, supplied as a complete zip and served unchanged.
- AI GTM
Scale set
S.C.A.L.E. step 1, Set. Turns a goal into a Strategic Outcome Charter (number, baseline, date, sponsor, driving KPIs) and runs five whys twice to name the root cause and its gap type.
Source: Built by Jonathan Kvarfordt (Coach K). Package v1.2, supplied as a complete zip and served unchanged.
- AI GTM
Scale Chart
S.C.A.L.E. step 2, Chart. Maps one revenue workflow, scores friction on People, Process, Technology, Data, prices the top stall in dollars, ranks the opportunities, and checks the data.
Source: Built by Jonathan Kvarfordt (Coach K). Package v1.2, supplied as a complete zip and served unchanged.
- AI GTM
Scale Align
S.C.A.L.E. step 3, Align. Decides whether the friction needs AI at all, names the capability chain and OAR level, makes the build, buy, or partner call, scores up to three vendors against a real account record, and writes guardrails with a cancel trigger.
Source: Built by Jonathan Kvarfordt (Coach K). Package v1.2, supplied as a complete zip and served unchanged.
- AI GTM
Scale Launch
S.C.A.L.E. step 4, Launch. Scopes one pilot (one problem, a hypothesis, 30 to 90 days, a team or a solo path, three to five criteria, a stop trigger) and writes the 60-second leadership pitch plus the weekly update template.
Source: Built by Jonathan Kvarfordt (Coach K). Package v1.2, supplied as a complete zip and served unchanged.
- AI GTM
Scale Evolve
S.C.A.L.E. step 5, Evolve. Scores the pilot against the charter (expand, adjust, or stop), builds the three-layer scorecard and operating rhythm, drafts the Center of Excellence with two co-chairs and named roles, and writes the AI policy sized to the company.
Source: Built by Jonathan Kvarfordt (Coach K). Package v1.2, supplied as a complete zip and served unchanged.
- Sales
Gtm Call Stack
Hub for the Granola-to-Claude GTM call stack.
Source: Built by Jonathan Kvarfordt on the GTM AI OS. Supplied as a complete zip and served unchanged.
- Sales
Gtm Context Setup
Build the gtm-context.md file every call skill reads: what you sell, ICP band and gates, personas, competitors, proof points, and the MOMENT signal library.
Source: Built by Jonathan Kvarfordt on the GTM AI OS. Supplied as a complete zip and served unchanged.
- Sales
Granola Capture Markers
The human layer of the call stack. Teaches the shorthand reps type in Granola during a call (P pain, M moment, F fit, C confidence, D doubt, S stakeholder, X competitor, N next step) and parses those markers out of Granola notes into a Rep Read that AI can score.
Source: Built by Jonathan Kvarfordt on the GTM AI OS. Supplied as a complete zip and served unchanged.
- Sales
Transcript Denoise
Strip a noisy sales, CS, or discovery call transcript down to an Evidence Ledger of atomic, quoted, source-tagged facts (pain, impact, moment, fit, stakeholders, process, competitors, objections, commitments, risks, product feedback) and a noise report.
Source: Built by Jonathan Kvarfordt on the GTM AI OS. Supplied as a complete zip and served unchanged.
- Sales
Deal Qualification Scan
Score a deal from a call's Evidence Ledger against MEDDPICC (or SPICED) with the 0-2 rubric, a stakeholder grid, Green/Yellow/Red readiness, and the exact questions to ask next.
Source: Built by Jonathan Kvarfordt on the GTM AI OS. Supplied as a complete zip and served unchanged.
- Sales
Call Coaching Scan
Coach the seller on a single call by stage (discovery, demo, pricing or proposal, negotiation, CS check-in) with a 0-4 rubric, talk-to-listen ratio, question quality, pains captured vs addressed, coded moments, and exact alternate wording.
Source: Built by Jonathan Kvarfordt on the GTM AI OS. Supplied as a complete zip and served unchanged.
- Sales
Customer Health Scan
Read a customer call's Evidence Ledger for renewal risk, expansion signals, value realized, adoption, and sponsor health, and produce a Green/Yellow/Red health read, a 4-part executive brief (Context, Risks, Opportunities, Next Moves), and a customer recap with owners.
Source: Built by Jonathan Kvarfordt on the GTM AI OS. Supplied as a complete zip and served unchanged.
- Sales
Voice of Customer Scan
Pull buyer language, pain themes, objections, competitor mentions, product feedback, and how reps are pitching from one call or a folder of calls, with cited quotes, plus content seeds (LinkedIn hook, email, ad line) written in the buyer's own words.
Source: Built by Jonathan Kvarfordt on the GTM AI OS. Supplied as a complete zip and served unchanged.
- Sales
Follow up Builder
Turn a call's Evidence Ledger into a buyer follow-up email in the buyer's words, an internal Slack recap, and proposed CRM field updates, all as drafts for human review.
Source: Built by Jonathan Kvarfordt on the GTM AI OS. Supplied as a complete zip and served unchanged.
- Sales
Folder Recipe run
Run one Recipe (a fixed extraction schema) across every meeting in a Granola Folder and return one table with one row per call, with cited quotes and confidence tags. Works two ways, inside Granola (paste the Recipe into Granola chat on the Folder) or in Claude Code over the Granola MCP.
Source: Built by Jonathan Kvarfordt on the GTM AI OS. Supplied as a complete zip and served unchanged.
- Sales
Win Loss ICP Update
Run the win/loss Recipe across Granola Folders of won and lost deals, compute which patterns show up more in wins than losses (lift, with counts), check how well reps' live confidence predicted outcomes, and propose evidence-backed changes to the ICP and MOMENT signal list in gtm-context.md.
Source: Built by Jonathan Kvarfordt on the GTM AI OS. Supplied as a complete zip and served unchanged.
- Sales
Account Context Builder
Pull a Granola meeting into Claude over MCP (typed notes plus transcript) and build or update a scored Account Context with FIT, PAIN, MOMENT, CONFIDENCE, a bucket, a hypothesis, why we might be wrong, and one next step. The rep's typed confidence from the call is carried in as-is.
Source: Built by Jonathan Kvarfordt on the GTM AI OS. Supplied as a complete zip and served unchanged.
- RevOps
Substrate Builder
Converts a loose business prompt into a substrate, an explicit specification (definitions, thresholds, boundaries, precedence, closed labels, missing-data rules, canonical output) that makes different runs and different LLMs return the same answer, then proves it with an oracle coverage check and a cross-model drift test.
Source: User-supplied Substrate Builder package. It reconstructs Elin Nguyen's interpretation-drift method and is not an official OmnisensAI tool.
- AI GTM
AI Opportunity to 90 day Plan
Guided walkthrough for the AI in GTM 90-day planning kit (AI Opportunity Plan), start to finish, one question at a time, ending in one plan file.
Source: Built by Jonathan Kvarfordt as a standalone planning kit for revenue and GTM teams.
- AI GTM
AI Opportunity Prioritizer
Runs only Step 1 of the AI in GTM 90-day planning kit (AI Opportunity Plan) (Your best AI opportunity).
Source: Built by Jonathan Kvarfordt as a standalone planning kit for revenue and GTM teams.
- AI GTM
AI Operating Model
Runs only Step 2 of the AI in GTM 90-day planning kit (AI Opportunity Plan) (Who does what: people or AI).
Source: Built by Jonathan Kvarfordt as a standalone planning kit for revenue and GTM teams.
- AI GTM
AI 90 day Plan
Runs only Step 3 of the AI in GTM 90-day planning kit (AI Opportunity Plan) (Your 90-day plan).
Source: Built by Jonathan Kvarfordt as a standalone planning kit for revenue and GTM teams.
- AI GTM
AI Plan Presentation
Runs only Step 4 of the AI in GTM 90-day planning kit (AI Opportunity Plan) (Your 3-minute plan presentation).
Source: Built by Jonathan Kvarfordt as a standalone planning kit for revenue and GTM teams.
- AI GTM
AI Plan First Week
Runs only Step 5 of the AI in GTM 90-day planning kit (AI Opportunity Plan) (What to do Monday).
Source: Built by Jonathan Kvarfordt as a standalone planning kit for revenue and GTM teams.
- AI GTM
Os Install
Creates or repairs the shared workspace that every SCALE and GTM AI OS plugin depends on, detects an existing workspace and installed skills, and runs quick (3 questions) or advanced (12 questions) onboarding.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Gtm Chief of Staff
Router for the shared workspace. Sends any request to the right SCALE or GTM AI OS skill, checks prerequisites and the fence, and answers status questions.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Os Status
Reports what is done, what is next, and what is stale in the user's GTM AI OS workspace.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Os Graph Report
Reports harness health and learning over time from the workspace's own signals log and evolve records: evaluator pass rate, override rate, signal freshness, records with doubt filled, proposals approved, plus week-one baseline versus now.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Outcome Charter
Turns a vague AI mandate or business goal into a Strategic Outcome Charter with baseline, target, date, driving KPIs, and named owners.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Five Whys
Runs a Five Whys root-cause analysis on the outcome charter, at least twice from different vantage points, and classifies the root cause as a Skills, Systems, Strategy, or Product gap.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Friction map
Maps one revenue workflow end to end, scores where humans and data get stuck on four pillars, and prices the top friction point in dollars.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Opportunity Matrix
Ranks friction points on impact and feasibility into Plan / Quick win / Reconsider / Skip so the user knows what to fix first.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Data Inventory
Documents who owns each data source, where it lives, how it's collected, and how good it is, then flags what will break an AI deployment.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale AI Gate
Decides whether a friction point needs AI, plain automation, an integration, or a human fix before any capability or vendor work begins.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Capability Match
Maps a friction point to the AI capability chain it needs (classification, summarization, generation, extraction, search and retrieval, orchestration), sets the OAR level, runs the 4 Ps, and checks readiness.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Vendor Scorecard
Makes the build, buy, or partner call, scores up to three vendors on weighted criteria, runs the Account Context demo test, and estimates total cost of ownership.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Guardrails
Writes the guardrails and cancel trigger for an AI deployment before purchase: what never ships without a human, who can change the record, what data never leaves, and the reversal trigger.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Pilot Charter
Scopes one pilot: one problem, a hypothesis, OAR level, tiger team with RACI (or a solo path), three to five success criteria, a stop trigger, and a 30 to 90 day window.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Exec Pitch
Turns the charter, friction map, capability decision, and pilot into a 60-second leadership pitch plus a one-page memo the sponsor can forward.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Exec Dashboard
Scores the pilot against the Module 1 charter, tracks stage-to-stage conversion and the two headline metrics, and produces a three-layer dashboard with an expand / adjust / stop recommendation.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Operating Calendar
Builds the weekly, monthly, quarterly, and annual operating rhythm for the GTM AI OS, with owners and the artifact each meeting reads.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale coe Charter
Drafts the AI Center of Excellence charter with a technology co-chair, a business co-chair, named roles by title, an executive sponsor, cadence, and decision rights, sized to the company's stage.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- AI GTM
Scale Governance
Writes an AI governance policy for the revenue org covering roles, operating model, risk and compliance, rules of use, security, model choice, bias, tooling, monitoring, transparency, and accountability, sized to the company's stage.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- Sales
Os win Loss Extract
Extracts why deals were won, lost, disqualified, or churned over 18 to 24 months in the buyer's own words, writes an evidence-based ICP, and proposes buying signals only after comparing their frequency in wins versus losses.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- Sales
Os Account Context
Builds the Account Context record for one account: expected value, verified pain with source, recent changes, confidence-tagged signals, hypothesis, why-we-might-be-wrong, owner, and next action.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- Sales
Os Account Scorer
Scores a list of accounts on FIT × MOMENT × CONFIDENCE with PAIN as a readiness gate, and assigns every account exactly one bucket (Action, Research, Monitor, Deprioritize) using the shared readiness policy.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- Sales
Os Message Architecture
Writes outreach for one account from its Account Context using the path its evidence allows (confirmed pain, signal-only question, or research task), mapped to three decision roles, with every proof point drawn from the proof register.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- Sales
Os Message Evaluator
Separate pre-send check that grades a drafted message against the account record, the readiness policy, the proof register, and the fence, and returns pass or a failure code.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- Sales
Os act Loop
Runs the KNOW → DECIDE → ACT sequence on one Action Priority account: refresh the record, re-score, draft by path, evaluate, enforce the fence, and log every touch.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
- Sales
Os Weekly Review
Reads the signals log and recent artifacts, finds what the human changed and what worked, and proposes specific edits to context files, signal weights, message templates, and skill parameters for approval.
Source: Built by Jonathan Kvarfordt. Standalone bundle v0.2.
Public GTM skills on GitHub
120 skills published by other teams, with the repository, license, and star count observed through the GitHub API during research. Star counts change. Treat them as an adoption signal, not a quality score.
Showing 120 of 120 public skills.
| Skill | Function | Repository | Stars | License | What it does |
|---|---|---|---|---|---|
| forecast | Revenue Leadership | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Weighted sales forecast with best/likely/worst scenarios, commit vs. upside split, coverage ratio and gap-to-quota analysis from a CRM CSV or pasted pipeline. |
| pipeline-review | Revenue Leadership | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Pipeline health score (stage progression, activity recency, close-date accuracy, contact coverage), stale/stuck/single-threaded flags, weekly action plan. |
| account-research | Sales | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Builds account intelligence briefs for target accounts. Listed in the repo's sales/skills/ directory. |
| call-prep | Sales | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Prepares a rep for a specific sales call. |
| call-summary | Sales | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Turns call notes/transcripts into a structured recap. |
| competitive-intelligence | Enablement | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Competitive battlecards / competitor positioning for sellers (described as "Competitive battlecards" in the w95 index). |
| create-an-asset | Enablement | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Generates sales collateral ("Sales collateral creation" per the w95 index). |
| daily-briefing | Sales | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Daily seller briefing across accounts/deals. |
| draft-outreach | Business Development | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Drafts outbound prospecting emails. |
| campaign-plan | Marketing | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Plans an end-to-end marketing campaign. |
| performance-report | Marketing | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Builds marketing performance reporting. |
| competitive-brief | Marketing | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Competitive landscape brief for marketing. |
| email-sequence | Marketing | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Builds lifecycle/nurture email sequences. |
| customer-escalation | Customer Success | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Manages customer escalations (support-side CS adjacency). |
| customer-research | Customer Success | anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Customer intelligence gathering for support/CS teams. |
| prospect-apollo | Business Development | Apollo pack inside anthropics/knowledge-work-plugins partner-built/apollo | 23,862 | Apache-2.0 | Prospecting via Apollo's data/API from the agent. |
| enrich-lead | RevOps | Apollo pack, anthropics/knowledge-work-plugins | Not published | Apache-2.0 | Lead enrichment through Apollo. |
| sequence-load | Business Development | Apollo pack, anthropics/knowledge-work-plugins | Not published | Apache-2.0 | Loads prospects into Apollo outreach sequences. |
| prospect-common-room / contact-research / compose-outreach / weekly-prep-brief / call-prep-common-room / account-research-common-room | Business Development / Sales | Common Room pack inside anthropics/knowledge-work-plugins | 23,862 | Apache-2.0 | Signal-based prospecting, contact intelligence, outreach composition and signal-driven call/account prep. |
| revops | RevOps | coreyhaines31/marketingskills | 46,802 | MIT | Lead lifecycle, MQL/SQL definitions, scoring, routing, speed-to-lead, deal desk, CRM automation, data hygiene, RevOps metrics dashboard. |
| sales-enablement | Enablement | coreyhaines31/marketingskills | 46,802 | MIT | Builds pitch decks, one-pagers, objection-handling docs, demo scripts, playbooks and proposal templates for B2B reps. |
| cold-email | Business Development | coreyhaines31/marketingskills | 46,802 | MIT | Writes B2B cold emails and follow-up sequences that get replies. |
| prospecting | Business Development | coreyhaines31/marketingskills | 46,802 | MIT | Prospect discovery/qualification, ICP-fit target account lists (agenticskills.io listing). |
| launch | GTM Strategy | coreyhaines31/marketingskills | 46,802 | MIT | Product launch / feature announcement / go-to-market planning. |
| marketing-plan | Marketing | coreyhaines31/marketingskills | 46,802 | MIT | 90-day / 12-month marketing plan and AARRR growth plan. |
| churn-prevention | Customer Success | coreyhaines31/marketingskills | 46,802 | MIT | Cancellation flows, save offers, failed-payment recovery. |
| competitor-profiling | Enablement | coreyhaines31/marketingskills | 46,802 | MIT | Competitor dossiers, competitive audits, battlecard inputs. |
| pricing | Revenue Leadership | coreyhaines31/marketingskills | 46,802 | MIT | Pricing, packaging and monetization strategy for SaaS. |
| cro-advisor | Revenue Leadership | alirezarezvani/claude-skills | 25,489 | MIT | CRO-level revenue leadership: weighted forecast model script, NRR/GRR analysis, quota & capacity, pricing, board-level revenue reporting. |
| cmo-advisor | Revenue Leadership | alirezarezvani/claude-skills | 25,489 | MIT | CMO-level marketing leadership advisory skill in the C-level advisor plugin. |
| chief-customer-officer-advisor | Customer Success | alirezarezvani/claude-skills | 25,489 | MIT | CCO-level customer/retention leadership advisory. |
| board-deck-builder | Revenue Leadership | alirezarezvani/claude-skills | 25,489 | MIT | Builds board decks (the closest public analogue to board revenue reporting). |
| board-meeting | Revenue Leadership | alirezarezvani/claude-skills | 25,489 | MIT | Board meeting preparation and governance materials. |
| revenue-operations | RevOps | alirezarezvani/claude-skills | 25,489 | MIT | RevOps skill in the business-growth plugin. |
| customer-success-manager | Customer Success | alirezarezvani/claude-skills | 25,489 | MIT | CSM workflows: health monitoring, churn risk, expansion (per Claude Directory listing). |
| sales-engineer | Enablement | alirezarezvani/claude-skills | 25,489 | MIT | Sales-engineering / technical pre-sales support skill. |
| contract-and-proposal-writer | Sales | alirezarezvani/claude-skills | 25,489 | MIT | Drafts proposals and contracts for deals. |
| marketing-strategy-pmm | GTM Strategy | alirezarezvani/claude-skills | 25,489 | MIT | Product-marketing skill for positioning and GTM. |
| marketing-ops | RevOps | alirezarezvani/claude-skills | 25,489 | MIT | Marketing operations / automation plumbing. |
| gtm-strategy | GTM Strategy | phuryn/pm-skills | 25,978 | MIT | Creates a GTM strategy with channels, messaging and launch timeline. |
| gtm-motions | GTM Strategy | phuryn/pm-skills | 25,978 | MIT | Identifies the best GTM motion across 7 types including PLG and ABM. |
| competitive-battlecard | Enablement | phuryn/pm-skills | 25,978 | MIT | Creates sales-ready battlecards against specific competitors. |
| ideal-customer-profile | GTM Strategy | phuryn/pm-skills | 25,978 | MIT | Defines the ICP used across GTM motions. |
| beachhead-segment | GTM Strategy | phuryn/pm-skills | 25,978 | MIT | Selects the beachhead market segment for entry. |
| saas-revenue-growth-metrics | Revenue Leadership | deanpeters/Product-Manager-Skills | 6,809 | NOASSERTION (see repo) | Tracks MRR/ARR, churn, NRR and expansion revenue metrics. |
| revenue-forecasting | Revenue Leadership | LeadMagic/gtm-skills | Not published | MIT | Evidence-based forecast: category normalization, opportunity rollup, coverage, scenarios, inspection cadence, accuracy scorecard; cites Clari, Winning by Design, McMahon, Kellogg. |
| pipeline-management | RevOps | LeadMagic/gtm-skills | Not published | MIT | Pipeline inspection and management discipline. |
| deal-desk | RevOps | LeadMagic/gtm-skills | Not published | MIT | Deal desk approvals and non-standard terms process. |
| sales-enablement (LeadMagic) | Enablement | LeadMagic/gtm-skills | Not published | MIT | Enablement content and rep readiness. |
| objection-handling | Enablement | LeadMagic/gtm-skills | Not published | MIT | Objection handling frameworks for reps. |
| qbr-planning | Customer Success | LeadMagic/gtm-skills | Not published | MIT | QBR/EBR planning: value documentation, ROI presentation, exec alignment, expansion roadmap; cites Gainsight and Winning by Design Bowtie. |
| cs-playbooks | Customer Success | LeadMagic/gtm-skills | Not published | MIT | Customer success playbook library. |
| customer-onboarding | Customer Success | LeadMagic/gtm-skills | Not published | MIT | Onboarding motion for new customers. |
| cs-analytics-dashboards | Customer Success | LeadMagic/gtm-skills | Not published | MIT | CS health/analytics dashboards. |
| gtm-leadership | Revenue Leadership | LeadMagic/gtm-skills | Not published | MIT | GTM leadership practices for revenue leaders. |
| sales-coaching | Enablement | LeadMagic/gtm-skills | Not published | MIT | Rep coaching frameworks for managers. |
| revenue-team-onboarding | Enablement | LeadMagic/gtm-skills | Not published | MIT | Onboarding/ramping new revenue-team hires. |
| gtm-operations | RevOps | LeadMagic/gtm-skills | Not published | MIT | GTM operations process design. |
| revops-tech-stack | RevOps | LeadMagic/gtm-skills | Not published | MIT | Designs/evaluates the RevOps tool stack. |
| gtm-spend-management | RevOps | LeadMagic/gtm-skills | Not published | MIT | GTM spend and tool cost governance. |
| gtm-context-bootstrap | GTM Strategy | LeadMagic/gtm-skills | Not published | MIT | Bootstraps a shared GTM context file used by all other skills in the pack. |
| icp-scoring / icp-targeting-tiers | GTM Strategy | LeadMagic/gtm-skills | Not published | MIT | ICP scoring model and account tiering. |
| positioning-messaging | GTM Strategy | LeadMagic/gtm-skills | Not published | MIT | Positioning and messaging foundation. |
| cold-email-strategy | Business Development | LeadMagic/gtm-skills | Not published | MIT | Cold email strategy for outbound programs. |
| multi-channel-outreach | Business Development | LeadMagic/gtm-skills | Not published | MIT | Coordinated email/LinkedIn/phone sequencing. |
| email-deliverability / domain-infrastructure / inbox-setup | Business Development | LeadMagic/gtm-skills | Not published | MIT | Outbound sending infrastructure, domain warm-up and deliverability. |
| signal-scoring / social-intent-monitoring | Business Development | LeadMagic/gtm-skills | Not published | MIT | Buying-signal scoring and intent monitoring for prospecting. |
| funding-signal-play / hiring-signal-play / job-change-play / earnings-signal-play / product-launch-play | Business Development | LeadMagic/gtm-skills | Not published | MIT | Five trigger-based sales plays keyed to funding, hiring, job-change, earnings and launch signals. |
| abm-strategy / abm 1-to-1, 1-to-few, 1-to-many | GTM Strategy | LeadMagic/gtm-skills | Not published | MIT | ABM program design across 1-to-1 (5–15 accounts), 1-to-few (15–50), 1-to-many (50–200+). |
| forward-deployed-selling | Sales | vonarmen-wq/forward-deployed-selling | Not published | Apache-2.0 | Enterprise AI-era sales operating doctrine: ICP/targeting foundation, 3×3 doctrine, deal scoring, movement diagnosis, ethics/doctrine constraint layers. |
| sales-pipeline | RevOps | ericosiu/ai-marketing-skills | 3,479 | MIT | Visitor identification (RB2B) → intent scoring → suppression → campaign routing → dead-deal resurrection → trigger prospecting → self-learning ICP optimization. |
| outbound-engine (cold-outbound-optimizer) | Business Development | ericosiu/ai-marketing-skills | 3,479 | MIT | End-to-end cold outbound: ICP definition, expert-panel scoring to 90+, sequence copywriting, infrastructure audit, capacity planning for Instantly. |
| revenue-intelligence | Revenue Leadership | ericosiu/ai-marketing-skills | 3,479 | MIT | Extracts insights from Gong call transcripts, content-to-revenue attribution, multi-source client revenue reporting. |
| sales-playbook | Enablement | ericosiu/ai-marketing-skills | 3,479 | MIT | Value-based pricing playbook: pre-call briefings, tiered package generation, post-call analysis, pattern library for training reps. |
| growth-engine | Marketing | ericosiu/ai-marketing-skills | 3,479 | MIT | Growth experiment engine (one of the repo's top-level skills). |
| lead-dossier | Sales | ericosiu/ai-marketing-skills | 3,479 | MIT | Builds a research dossier on an inbound/target lead. |
| conversion-ops | Marketing | ericosiu/ai-marketing-skills | 3,479 | MIT | Conversion-rate operations workflows. |
| gtm-plays-11 | GTM Strategy | Cold-IQ/ColdIQ-s-GTM-Skills | 270 | n.a. (no license detected via API) | 11 packaged GTM plays. |
| sdr-outbound-rules | Business Development | Cold-IQ/ColdIQ-s-GTM-Skills | 270 | n.a. | Operating rules for SDR outbound execution. |
| cold-email-templates-34 / cold-email-4-sequence / email-writing-frameworks | Business Development | Cold-IQ/ColdIQ-s-GTM-Skills | 270 | n.a. | 34 cold-email templates, a 4-email sequence, and copy frameworks. |
| inbound-triggers-30 / outbound-triggers-6 / buying-signals-6 | Business Development | Cold-IQ/ColdIQ-s-GTM-Skills | 270 | n.a. | Catalogued trigger and buying-signal libraries for signal-based selling. |
| personalization-playbooks / personalization-6-buckets / ai-personalization-prompts | Business Development | Cold-IQ/ColdIQ-s-GTM-Skills | 270 | n.a. | Personalization frameworks and prompt libraries for outbound at scale. |
| cold-call-scripts | Business Development | Cold-IQ/ColdIQ-s-GTM-Skills | 270 | n.a. | Cold-call script library. |
| go-to-market-strategy | GTM Strategy | manojbajaj95/claude-gtm-plugin | Not published | MIT | Full GTM playbook: motion selection (PLG vs sales-led), messaging hierarchy, channel strategy. |
| sales-and-revenue-operations | RevOps | manojbajaj95/claude-gtm-plugin | Not published | MIT | Combined sales + revenue operations skill. |
| customer-success-and-retention | Customer Success | manojbajaj95/claude-gtm-plugin | Not published | MIT | Retention and customer success motion. |
| executive-dashboard-generator | Revenue Leadership | manojbajaj95/claude-gtm-plugin | Not published | MIT | Generates executive-level dashboards/reporting. |
| outbound-email-strategy | Business Development | manojbajaj95/claude-gtm-plugin | Not published | MIT | Personalized cold outreach sequence design. |
| lead-generation-and-demand | Marketing | manojbajaj95/claude-gtm-plugin | Not published | MIT | Demand generation and lead-gen programs. |
| crm-integration | RevOps | manojbajaj95/claude-gtm-plugin | Not published | MIT | CRM integration workflows for GTM data. |
| hubspot-audit | RevOps | TomGranot/hubspot-admin-skills | Not published | MIT | Full audit of a HubSpot portal as the first step of an audit → plan → execute → maintain workflow. |
| build-lead-scoring | RevOps | TomGranot/hubspot-admin-skills | Not published | MIT | Builds a lead-scoring model in HubSpot. |
| fix-lifecycle-stages | RevOps | TomGranot/hubspot-admin-skills | Not published | MIT | Repairs lifecycle-stage data and progression workflows. |
| create-icp-tiers | RevOps | TomGranot/hubspot-admin-skills | Not published | MIT | Creates ICP tiering properties and segment lists in CRM. |
| cleanup-deals / quarterly-database-cleanup / waterfall-enrich-contacts | RevOps | TomGranot/hubspot-admin-skills | Not published | MIT | CRM hygiene: deal cleanup, quarterly database cleanup, waterfall contact enrichment. |
| buyer-eval | Enablement | salespeak-ai/buyer-eval-skill | Not published | MIT | Evaluates B2B vendors by interrogating vendor agents, checking claims, scoring weighted criteria — buy-side mirror of a sales battlecard. |
| predictable-revenue | Business Development | wondelai/skills | 2,096 | MIT | Outbound/SDR specialization model based on the *Predictable Revenue* methodology. |
| hundred-million-offers | Marketing | wondelai/skills | 2,096 | MIT | Offer construction based on Hormozi's *$100M Offers*. |
| storybrand-messaging | Marketing | wondelai/skills | 2,096 | MIT | Messaging framework skill (StoryBrand). |
| crossing-the-chasm | GTM Strategy | wondelai/skills | 2,096 | MIT | Beachhead/segment GTM sequencing from *Crossing the Chasm*. |
| obviously-awesome | GTM Strategy | wondelai/skills | 2,096 | MIT | Positioning method (April Dunford). |
| improve-retention | Customer Success | wondelai/skills | 2,096 | MIT | Retention improvement workflow. |
| negotiation | Sales | wondelai/skills | 2,096 | MIT | Negotiation methodology skill. |
| cro-methodology / conversion-optimization | Marketing | wondelai/skills | 2,096 | MIT | Conversion-rate optimization methodology. |
| qbr-builder | Customer Success | w95/awesome-claude-corporate-skills | 189 | MIT | Builds Quarterly Business Reviews (custom-built for this collection per its INDEX). |
| churn-analysis | Customer Success | w95/awesome-claude-corporate-skills | 189 | MIT | Churn prediction and retention analysis. |
| onboarding-playbook | Customer Success | w95/awesome-claude-corporate-skills | 189 | MIT | Customer onboarding playbook. |
| lead-research-assistant | Business Development | w95/awesome-claude-corporate-skills | 189 | MIT | Lead qualification research assistant. |
| kpi-dashboard | Revenue Leadership | w95/awesome-claude-corporate-skills | 189 | MIT | Executive scorecards and metric tracking (12-skill executive-leadership set). |
| board-meeting-prep | Revenue Leadership | w95/awesome-claude-corporate-skills | 189 | MIT | Board decks, agendas, governance materials. |
| campaign-planner / email-marketing / social-media-strategy / market-research | Marketing | w95/awesome-claude-corporate-skills | 189 | MIT | 15-skill marketing set: campaign planning, SEO, email, social strategy, market research, brand voice. |
| clawfu marketing skill pack (172 skills) | Marketing | guia-matthieu/clawfu-skills | 148 | MIT | 172 expert-sourced marketing skills (Dunford, Schwartz, Ogilvy, Cialdini) served as an MCP server with brand memory. |
| devmarketing-skills (33 skills) | Marketing | jonathimer/devmarketing-skills | Not published | MIT | 33 developer-marketing skills: HN strategy, docs-as-marketing, Reddit engagement, devtool SEO, newsletters. |
| B2B sales skills pack (~120 skills incl. pipeline-management, closing, negotiation, outbound-prospecting, deal-review-win-loss, customer-onboarding, sales-playbook-scaling, performance-analytics) | Sales / Enablement / BD / CS | louisblythe/Sales-Skills | 142 | n.a. (no license detected via API) | ~120 granular B2B selling skills covering discovery, qualification, objection handling, closing, pipeline management, conversation quality scoring, win/loss extraction. |
| linkedin (Linked API) | Business Development | Linked-API/linkedin-skills | Not published | n.a. | LinkedIn automation for agents: profile fetch, people/company search, messaging, connections, posts; supports Sales Navigator. |
| Salesforce agent skill (developer tutorial + plugin) | RevOps | Salesforce Developers blog | Not published | n.a. | Salesforce's own guidance/pattern for packaging a SKILL.md agent skill for Salesforce development; paired with a Claude Code plugin post. |
| HubSpot skills guidance | Marketing / RevOps | HubSpot Developers blog | Not published | n.a. | HubSpot frames skills files as context engineering for agents; guidance rather than a published skill repo. |
| membranedev application-skills (Gmail, Slack, HubSpot, Salesforce + 3,000 apps) | RevOps | membranedev/application-skills | 266 | n.a. | Per-app skills teaching an agent how to operate HubSpot, Salesforce, Gmail, Slack and 3,000+ other apps. |
| Goose Skills GTM catalog (108 GTM skills) | GTM Strategy | Gooseworks, via Composio roundup | Not published | n.a. | Installed via the Gooseworks CLI; a 108-skill GTM catalog. |
| Vibe Prospecting plugin | Business Development | vibeprospecting.ai | Not published | n.a. | Prospecting plugin combining agent skills with Explorium data. |
Common questions
- What is a SKILL.md file?
- A SKILL.md file is a plain markdown file that tells an AI agent how to do one job. It carries a name, a description that decides when the skill fires, and a body with the process, decision rules, and output format. You drop it in a folder named after the skill and the agent loads it when the request matches.
- Where do these skills come from?
- Every entry names its origin. Some are written by The Revenue AI Report against a 12 criterion quality rubric. Others are public skills published on GitHub, listed with the repository, the license, and the star count observed through the GitHub API during research.
- Why do you show GitHub star counts?
- Stars are the only public signal of how widely a skill has been adopted. They are not a quality score. We publish the count and the date context so you can weigh popularity against the rubric read next to it.
- How do I use one of these skills?
- Open the skill page, copy the SKILL.md text or download the file, then place it in a folder named exactly as the skill name inside your agent's skills directory. Read the trigger list first so you know what the skill should and should not answer.
- Are these free to use?
- Yes. Skills written by The Revenue AI Report are free to copy and adapt with attribution. Public skills carry their own license, shown on each row, and you follow that license.
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