ai-deep-research

# Deep Research Use this skill to design and run repeatable research workflows that gather evidence across many sources, preserve provenance, and synthesize results into decision-ready outputs. This skill covers both **native deep-research agents** (ChatGPT Deep Research, Gemini Deep Research, Perplexity Deep Research, Claude with web search) and **custom agentic research pipelines** (planner / searcher / verifier / synthesizer split). ## ASCII Flow ```text research question | v research plan scope + source targets + queries + stop criteria + freshness window | v evidence gathering primary sources first + source ledger + hostile-source checks | v verification isolated verifier checks claims against ledger, not researcher context | v synthesis evidence-tiered answer + citations + contradictions + unknowns ``` ## Quick Reference | Question | Default | |----------|---------| | When to use a native agent vs custom pipeline? | Native for ad-hoc, open-ended questions. Custom for repeatable, auditable, or multi-source workflows. | | What is the first artifact of any research task? | The source ledger — never the synthesis. | | When is a source trustworthy? | When it is a primary document with a stable URL, author attribution, and a verifiable date. | | What stops an unbounded research loop? | An explicit stop criterion defined before the loop starts (saturation condition or max iterations). | | How to handle contradictory sources? | Separate them into e...