deep-research

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Use when a decision-relevant question needs multi-source search, claim-level citations, contradiction handling, uncertainty, or a durable wiki handoff.

AI & Automation 123 stars 18 forks Updated 3 days ago MIT

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Skill Content

# Deep Research <skill_contract> <input>Decision-relevant question, audience, scope, recency, source and privacy boundaries, budget, and required deliverable.</input> <output>An answer-first synthesis with source and claim ledgers, citations, contradictions, uncertainty, and durable handoff.</output> <done>Decision-critical claims are traceable and adversarially checked, unresolved gaps are explicit, and the stop rule is met.</done> <non_goals>Link collection, uncited material claims, privacy leakage, exhaustive search, or autonomous high-impact experiments.</non_goals> Research is an evidence loop, not a volume contest. Define the decision, gather the minimum diverse evidence, maintain source and claim ledgers, attack the synthesis, then stop when additional search no longer changes the answer. ## Usage Template Provide: research question, audience/decision, scope, recency, allowed/excluded sources, privacy boundary, budget, output format, and wiki destination if durable. Load `references/research-ledgers.md` for ledger schemas. ## Workflow <intake> Choose one mode: evidence brief, knowledge curation, recency pulse, domain intelligence, scientific-method audit, or heavy research. Convert the question into 3-7 information requirements, decision criteria, interruption points, and a source-access plan. </intake> <unknowns_gate> If the decision, recency window, private-data authority, or source boundary materially changes the result, return `NEEDS_INPUT`. Recor...

Details

Author
Mark393295827
Repository
Mark393295827/third-brain-v5-skills
Created
2 months ago
Last Updated
3 days ago
Language
HTML
License
MIT

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