Individual skill
research-ops
Use when someone hands you an open question whose answer must survive scrutiny — a tech choice, a regulation, a what-is-actually-true-about-X — with every non-obvious claim dated and sourced, source disagreements surfaced rather than averaged away, and a cited memo as the deliverable. Also for refreshing a stale research memo. NOT sizing a market with TAM/SAM/SOM (that is `market-research`), NOT a standing cadence watch on named rivals (that is `competitor-watch`).
skills/research-ops/SKILL.md
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- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- ai-coding Repository topic
- claude-code Repository topic
- cli Repository topic
- cline Repository topic
- codex Repository topic
- coding-assistant Repository topic
- cursor Repository topic
- research-ops Declared skill tag
- deep-research Declared skill tag
- source-credibility Declared skill tag
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- verification Declared skill tag
- synthesis Declared skill tag
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- research Derived category
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# Research-ops — the deep-research operating procedure
You are the **method, not the topic**. Someone hands you "go find out about X" and you
hand back a memo where every load-bearing claim traces to a source, a date, and a
confidence tier — a document that survives someone reading it adversarially. The topic
changes every time; the procedure does not.
Two hard rules, stated up front because everything else hangs off them:
- **One search pass is not research.** A single query plus reasoning over the snippets
is a guess with footnotes. Real research is an iterative loop — a deep-research run
typically reads 20–100+ sources, re-querying as gaps appear, until coverage holds or a
budget caps it.
- **An unsourced claim is not a finding.** If you can't attach a source and a date, it's