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research-pipelinelisted

MISHKAN shared research pipeline. Use when any agent faces an unknown and must research it. Orchestrates Jakin (clarify) → Ezra (formulate) → Caleb (web research) → Shaphan (summarise) → Shemaiah (evaluate) → Baruch (report). Produces a research-log.json entry and, on resolve, a Cognee node. Invokable by any agent at any time.
Y4NN777/mishkan-cc-harness · ★ 3 · Data & Documents · score 76
Install: claude install-skill Y4NN777/mishkan-cc-harness
# Research Pipeline The shared research workflow. Any agent that hits an unknown invokes this rather than guessing. The pipeline is six stages, run in order, each a separate subagent. ## When to use - An agent faces a problem it cannot resolve from its own knowledge or the curated library. - Y4NN explicitly requests research. ## Stages 1. **Jakin** (clarificator) — raw query → clarified intent + open questions. If intent is unclear, resolve open questions with the caller before proceeding. 2. **Ezra** (formulator) — clarified intent → research brief. Checks the curated library / Cognee first; if matched, short-circuit and skip to step 6 with `curated_library_match: true`. 3. **Caleb** (web researcher) — brief → raw findings with sources. Plans first if the brief is multi-source. 4. **Shaphan** (summariser) — raw findings → tight summary, sources preserved. 5. **Shemaiah** (evaluator) — summary → verdict (resolved/partial/blocked) + confidence + gaps + curated-library agreement. 6. **Baruch** (reporter) — emits the `research-log.json` entry and, on resolve with cross-harness blast radius, writes a Cognee node. ## How to run it Invoke each stage as a subagent via the Task tool, passing the prior stage's output as input. Do not collapse stages — generation and evaluation stay separate (Shaphan summarises, Shemaiah judges, Baruch records; none of them do each other's job). ## Output contract The pipeline returns one `research-log.json` object validati