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deep-research

Multi-source deep research with evidence grading and contradiction detection. Use for any question requiring thorough investigation, competitive analysis, technology evaluation, or fact-finding across multiple sources. Triggers on: 'research this', 'deep dive into', 'investigate', 'what does the evidence say', 'compare options', 'find out about', 'analyze the landscape'.

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onfire7777/universal-ai-skills-library
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2026년 5월 10일 01:21
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SKILL.md
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name
deep-research
description
Multi-source deep research with evidence grading and contradiction detection. Use for any question requiring thorough investigation, competitive analysis, technology evaluation, or fact-finding across multiple sources. Triggers on: 'research this', 'deep dive into', 'investigate', 'what does the evidence say', 'compare options', 'find out about', 'analyze the landscape'.
# Deep Research ## Thinking Protocol Before starting, answer silently: 1. What is the **actual question**? (Restate precisely — don't drift) 2. What would constitute a **strong vs weak** answer? 3. What are my **known unknowns**? ## Execution ### Phase 1: Decompose Break into 3-7 precise sub-questions. For each, state what evidence type would answer it. ### Phase 2: Multi-Source Search Per sub-question, search minimum 3 independent sources. Prefer: - Primary over secondary sources - Recent over dated (flag anything >2 years old) - Peer-reviewed/official over blog posts - Contradicting sources are MORE valuable — seek them out ### Phase 3: Evidence Grading Every claim gets a confidence tier: - **HIGH** — Multiple independent sources agree, empirical evidence - **MEDIUM** — Single credible source, or sources with caveats - **LOW** — Anecdotal, single blog post, or inference - **CONTESTED** — Sources directly contradict (present both sides) ### Phase 4: Synthesize ``` ## [Topic]: Key Findings ### [Sub-question 1] [Finding] — Confidence: [tier] Evidence: [citations] ### Contradictions & Open Questions [Where sources disagree, what remains unknown] ### Implications [What this means for the user's actual goal] ``` ## Rules 🚨 Never present inference as fact. If reasoning beyond evidence, say so. 🚨 If confirming expectations, stop and search for disconfirming evidence. 🚨 State what you DON'T know with the same confidence you state what you do.
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