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ctx-researchlisted

Deep research grounded in the project's durable context system. Use for /ctx-research, "ctx research", "research X starting from our contexts". Reads existing contexts first, sharpens the question to the real knowledge gap, fans out multi-agent research, verifies key claims, and files results back.
keli-wen/dev-skills · ★ 10 · AI & Automation · score 65
Install: claude install-skill keli-wen/dev-skills
# ctx-research Research that starts from what the project already knows and ends with the project knowing more. It differs from generic deep research in two ways: the question is sharpened against existing contexts before any searching, and verified findings are written back into the context system. **Language**: mirror the user's language. ## Steps 1. **Ground**: locate the project's durable context layer (e.g. a `contexts/` tree with a map file, or a docs/ADR system). Read the entries relevant to the question. Sort what you find into: already answered (do not re-research), assumed but unverified, genuinely open. 2. **Refine**: restate the research question as the delta between what the user needs and what contexts already hold. Confirm scope with the user only if the delta is ambiguous; otherwise proceed. 3. **Fan out** (using `/fan-out` patterns): parallel researchers with distinct angles — official docs, community and prior art, papers, code in the wild. Each returns raw, citable findings with source name and URL or path. 4. **Verify**: every claim that will drive a decision gets an adversarial pass — a separate check that tries to refute it or show it is stale. Mark key claims confirmed / plausible / refuted. 5. **Synthesize**: one report — answer first, then evidence, then open questions. Keep cited facts and your own judgment visibly separate. 6. **File back**: hand the durable part to `/to-ctx`, which places it in the project's context system per its rules. The ch