buyer-job-intent-analysis
Recover source-bound buyer jobs, struggling moments, desired progress, forces, workarounds, information acts, journey states, criteria, constraints, roles, locales, and authentic language. Use on approved ICP hypotheses plus customer, search, review, forum, procurement, support, or public-market evidence before designing an AI-visibility prompt architecture.
Profile →npx skills add elvisun/newsjack --skill buyer-job-intent-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Buyer Job Intent Analysis Recover what people are trying to accomplish and how they express it. Do not turn product features into imagined demand. This skill inherits the ethical floor from `skills/ETHICS.md`. It enforces anti-hallucination, permission, provenance, and decay-aware handling of current market evidence. Anti-spray and human-send are not applicable. ## Inputs Require: - approved `icp_hypotheses.json`; - `source_manifest.json` with permission and provenance; - any user-supplied transcripts, queries, reviews, support material, or market sources. Research missing public-market language when permitted. Prefer evidence in this order: 1. lawfully collected relevant AI conversations with collection metadata; 2. customer or prospect interviews and calls; 3. on-site search, support, chat, sales, and win/loss evidence; 4. paid-search, Search Console, marketplace, and site-search queries; 5. public reviews, forums, communities, RFPs, procurement guides, and competitor reviews; 6. broad search and People Also Ask proxies; 7. company copy; 8. LLM expansion. Public conversational corpora may inform style, turn count, and multilingual naturalness. They must not supply category prev
- Inputs
- Grade evidence
- Extract jobs and language
- Build jobs
- Output
- Handoff
What does the buyer-job-intent-analysis skill do?
Recover source-bound buyer jobs, struggling moments, desired progress, forces, workarounds, information acts, journey states, criteria, constraints, roles, locales, and authentic language. Use on approved ICP hypotheses plus customer, search, review, forum, procurement, support, or public-market evidence before designing an AI-visibility prompt architecture.
How do I install it?
Run `npx skills add elvisun/newsjack --skill buyer-job-intent-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From elvisun/newsjack, a repository with 620 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.