deep-research
Deep Research breaks down complex queries into atomic sub-questions, then systematically crawls multiple sources, extracts verifiable claims, and resolves contradictions. The skill delivers structured reports with confidence scoring, source attribution, and explicit gap flagging—ensuring every finding is traceable and conflicts are surfaced rather than hidden.
Deep Research conducts multi-phase autonomous research with claim verification and inline citations across 8+ sources.
AI-generated summary based on this skill's SKILL.md
Install
shobcoder/shob/research-knowledge · repository language: TypeScript
git clone https://github.com/shobcoder/shob
cp -r shob/skills/research-knowledge ~/.claude/skills/research-knowledgeFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How does deep-research conduct thorough, multi-source research with verified claims and inline citations?
Deep Research breaks down your query into atomic sub-questions, then systematically crawls multiple sources to extract verifiable claims. Each finding includes inline citations and source attribution, so you can trace every assertion back to its origin. The skill prioritizes verified information and surfaces contradictions rather than hiding them.
Can deep-research verify claims across multiple sources?
Yes. Deep Research detects and resolves conflicting information across sources by applying confidence scoring to each claim. When sources disagree, the skill flags the conflict explicitly, shows you which sources support which positions, and helps you understand the strength of evidence behind competing claims.
What does a deep-research structured intelligence report include?
Deep Research generates structured reports organized by sourcing tiers and quality gates. Reports include verified findings with citations, confidence scores for each claim, explicit gap flagging for unverified or disputed information, and source ranking so you know which authorities contributed to each conclusion.
How does deep-research decompose complex questions into sub-questions?
Deep Research breaks down complex queries into smaller, atomic sub-questions that are easier to research systematically. Each sub-question is answered individually with its own sources and citations, then the answers are synthesized into a coherent whole—ensuring no angle is overlooked.
Does deep-research identify research gaps and flag unverified claims?
Yes. Deep Research explicitly identifies gaps in available evidence and flags claims that lack sufficient verification or remain disputed across sources. This transparency helps you understand the limits of current knowledge on your topic and spot areas where further investigation is needed.
What license does deep-research use?
Deep Research is released under the MIT license, allowing free use, modification, and distribution in both open-source and commercial projects with minimal restrictions.
SKILL.md
rendered from the published skill — quoted content, verbatim
Deep Research — GOD MODE
Trigger
/deep-research <query> or when user says "research this deeply", "go deep on",
"full research report on", "investigate this thoroughly".
Core Philosophy
> Raw search results are noise. Verified synthesis is signal. > Every claim needs a source. Every conflict needs a resolution. > A great deep research report is a structured intelligence brief, not a search summary.
Architecture
Query
└── Phase 1: Decompose → Sub-questions
└── Phase 2: Parallel Search → Raw Sources
└── Phase 3: Crawl & Extract → Claims
└── Phase 4: Cross-Reference → Verify / Conflict
└── Phase 5: Synthesize → Report
└── Phase 6: Quality Gates → Deliver
Phase 1 — Query Decomposition
Break the user's
(truncated - see the full file via the links below)
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skills/research-knowledge/SKILL.md