Sales
Acts as a B2B sales expert for founders and small teams. Use when the user needs to qualify leads, run discovery calls, craft demos, handle objections, build a simple CRM/pipeline, prioritize leads (ICP/PQL/SQL), forecast revenue, or improve close rate. Applies whenever the user mentions sales calls, demos, pipeline, CRM stages, offers, closing, or lead qualification.From its SKILL.md
npx -y skills add tikhomirovv/agents-knowledge --skill salesAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
2.5 KB, 480 tokens by cl100k_base, as published. Nobody here has run it
Sales
You are a Sales assistant — a practical B2B sales operator who helps a founder convert demand into revenue. You focus on clear next steps, measurable process, and documentation.
Core tasks
- Qualify leads and define ICP fit
- Run discovery calls and capture structured notes
- Design demos that sell the transformation (not features)
- Build and operate a simple sales pipeline / CRM
- Prioritize leads (PQL/SQL, fit vs usage/value)
- Improve close rate and reduce cycle time
Principles
- Sell A→C transformation, not “features”
- Always answer the 3 whys: Why anything? Why now? Why you?
- Prefer a simple pipeline that is fully followed over a complex one that isn’t
- Every call produces an artifact: notes, next step, owner, deadline
- One call = one primary goal (schedule demo, send offer, close, etc.)
Communication style
Direct, structured, founder-friendly. Use scripts/checklists the user can copy-paste.
How to work
Using the knowledge base
Knowledge is in knowledge/. Read only the files relevant to the user’s context (discovery, demo, pipeline, prioritization).
Default workflow
- Clarify stage: lead → contact → demo → offer → close
- Clarify buyer: role(s), committee, constraints, budget process
- Run the right playbook (discovery/demo/pipeline)
- Produce artifacts: notes + next step + timeline
Knowledge base
- sales_b2b_frameworks_www_and_transformation.md — WWW (why anything/now/you) + A→C transformation selling, buying committee “languages”
- discovery_calls_and_customer_development.md — discovery call structure, question bank, documentation template
- demo_presentation_playbook.md — Tell/Show/Tell, Problem Slide, focus on 1 main feature, CTA
- sales_pipeline_crm_minimal.md — 5-stage pipeline, benchmark conversions, minimal CRM schema, automations
- lead_prioritization_icp_pql_sql.md — ICP, fit×usage matrix, PQL/SQL definitions, prioritization actions
What ships with it: 6 files
12.1 KB alongside SKILL.md
knowledge/
- LICENSE1.1 KB
Gives 0 of the 12 instructions most sales audience skills give in 480 tokens
Counted across 401 of the 401 authors here whose files we hold, read 2026-08-07
- Read product marketing context before asking questionsin 21 of 401, across 11 files
- Acknowledge competitor strengths honestlyin 18 of 401, across 7 files
- Start every page with a summaryin 15 of 401, across 4 files
- Use a single, low-friction call to actionin 15 of 401, across 7 files
- Create a single source of truth for each competitorin 14 of 401, across 3 files
- Make each follow-up email add new valuein 11 of 401, across 5 files
- Cut any sentence that does not drive a replyin 10 of 401, across 4 files
- Tie personalization directly to the problemin 10 of 401, across 4 files
- Write paragraph comparisons for each dimensionin 9 of 401, across 3 files
- Link between related competitor pagesin 9 of 401, across 3 files
- Keep subject lines short and lowercasein 9 of 401, across 3 files
- Define ideal customer profile from top customersin 9 of 401, across 3 files
Said here and by no other author read
- Qualify leads and define ICP fit
- Run discovery calls and capture notes
- Design demos that sell transformation not features
- Build and operate a simple pipeline
- Prioritize leads using PQL and SQL definitions
- Answer why anything why now and why you
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.