deep-research

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GOD MODE deep research skill. Multi-phase autonomous research loop: query decomposition → multi-source crawling → claim cross-referencing → conflict resolution → structured synthesis with inline citations. Use for any question that demands depth, sourcing, and verifiable accuracy.

AI & Automation 581 stars 0 forks Updated 2 weeks ago MIT

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# 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 query into **3–7 atomic sub-questions**. Each must be: - Independently searchable - Non-overlapping with others - Ordered from foundational to advanced **Example:** > Query: "Is Company X profitable?" Sub-questions: 1. What is Company X's current revenue model? 2. What are its reported ARR and revenue figures? 3. What is its burn rate and cost structure? 4. What do investors say about its path to profitability? 5. How does it compare to competitors on unit economics? --- ## Phase 2 — Multi-Source Search Strategy For each sub-question, issue **2–4 targeted searches** using varied query angles: ``` [primary term] [year] [primary term] site:of...

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Author
shobcoder
Repository
shobcoder/shob
Created
5 months ago
Last Updated
2 weeks ago
Language
TypeScript
License
MIT

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deep-research

Multi-source research with mechanical quality control. USE WHEN a question needs outside information and the answer has to be trustworthy: technology evaluation, market or competitive analysis, architecture decisions, "what do practitioners actually do", or any topic with 3+ dimensions. Handles narrow questions (sequential, one context) and broad ones (parallel independent agents) through the same quality gate. Триггеры: «deep-research», «дипресёрч», «глубокое исследование», «сравни технологии/подходы», «как это делают на практике», «research».

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Use when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation. Triggers on "deep research", "comprehensive analysis", "research report", "compare X vs Y", "analyze trends", or "state of the art". Not for simple lookups, debugging, or questions answerable with 1-2 searches.

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Data & Documents Solid

deep-research

Use when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation. Triggers on "deep research", "comprehensive analysis", "research report", "compare X vs Y", "analyze trends", or "state of the art". Not for simple lookups, debugging, or questions answerable with 1-2 searches.

65 Updated today
lovstudio