deep-research
SolidUse 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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# 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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