Run a thorough multi-source research investigation end to end: plan, search broadly, verify, and synthesize a cited answer. Use when a question needs deep, autonomous research across many sources, not a quick lookup.
Scanned 9/5/2026
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npx -y skills add Amey-Thakur/AI-SKILLS --skill deep-research --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: deep-research
description: "Run a thorough multi-source research investigation end to end: plan, search broadly, verify, and synthesize a cited answer. Use when a question needs deep, autonomous research across many sources, not a quick lookup."
---
# Deep research
Deep research is the full loop from a hard question to a trustworthy,
cited answer: plan the investigation, gather from many sources, verify
what you find, and synthesize it into something more than the sum of the
pages. It is the method an agent (or a person) follows to research
autonomously without cutting corners.
## Method
1. **Plan before searching.** Sharpen the question, decompose it into
answerable sub-questions, and decide what evidence would settle each and
where it lives (see research-planning). A deep investigation without a
plan becomes a pile of tangents.
2. **Search broadly, from multiple angles.** Cover each sub-question from
several search angles and source types, so you are not captured by the
first framing or the most popular result (see web-research). Cast wide
first (find the landscape, the key sources, the disagreements), then go
deep on what matters. Deliberately seek disconfirming evidence and the
strongest opposing view, not just support.
3. **Go deep on primary sources.** Read the actual papers, docs, data, and
original statements for the load-bearing claims, not summaries of them
(see reading-papers, source-evaluation). The depth that distinguishes
deep research is following claims to their origin and understanding
them, not skimming aggregators.
4. **Verify as you go.** Evaluate every source and corroborate every
important claim across independent origins before it enters your
conclusion (see source-evaluation, fact-checking). Do not let an
unverified claim propagate into the synthesis; mark what is confirmed,
what is contested, and what is unknown.
5. **Synthesize, do not just collect.** The value is in connecting the
findings: reconciling or surfacing the disagreements between sources,
noting the consensus and the outliers, and answering the actual
question rather than dumping what you found (see research-synthesis). A
list of quotes is not research; the reasoned answer that accounts for
them is.
6. **Deliver with citations and honest confidence.** Present the answer
with its sources so it can be checked, distinguish well-supported
conclusions from tentative ones, and state the open questions and what
would resolve them (see writing-with-evidence). Know when to stop: when
new sources stop changing the answer (saturation) or the decision is
adequately supported.
## Boundaries
- Deep research is expensive; reserve it for questions whose stakes
justify it. Most questions need a quick lookup and a source check, not
the full loop (see research-planning's depth budget).
- Thoroughness is not the appearance of it: many low-quality sources are
not depth, and a long report is not a good one. Depth is verified primary
evidence and real synthesis, not volume (see the completeness-vs-padding
tension in research-synthesis).
- For an autonomous agent, the loop must include verification and
grounding at every step; an agent that searches and synthesizes without
fact-checking confidently launders errors into a citation-shaped answer
(see fact-checking, llm-guardrails).
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