Sales call objection clusterer
Skill sisodiabhumca/agent-skills/skills/sales-call-objection-clusterer
Production-Ready Agent Skills : product analytics, growth experiments, CRM, research synthesis, postmortems, data contracts, SaaS spend, compliance, architecture maps, and LLM eval and many more.
npx -y skills add sisodiabhumca/agent-skills --skill sales-call-objection-clustererAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Vendor-neutral skill to cluster sales call objections and extract response patterns for enablement.
SKILL.md
0.4 KB, 47 tokens by cl100k_base, as published. Nobody here has run it
Purpose
Use this skill to process structured input and produce a concise, actionable report.
Input
- JSON object or CSV rows with the relevant business signals.
Output
- Structured JSON summary with findings and recommendations.
What ships with it: 2 files
1.1 KB alongside SKILL.md, 1 of them executable
Gives 0 of the 12 instructions most sales audience skills give in 47 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
- process structured input
- extract response patterns
- cluster sales call objections
- produce a concise actionable report
- return a structured JSON summary
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.