research

Solid

Use when researching documentation, best practices, or complex technical investigations -- Context7 + Exa + Sequential Thinking methodology.

AI & Automation 25 stars 4 forks Updated 6 days ago MIT

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Quality Score: 87/100

Stars 20%
47
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

<objective> Research is the technical-research methodology behind the `research-expert` agent, covering three workflows depending on the question: a standard query (Sequential Thinking decomposition -> Context7 resolve + docs -> Exa supplement -> synthesized answer with sources), a complex investigation (multi-hypothesis Sequential Thinking -> Exa deep researcher -> cross-check against Context7 -> comprehensive report), and a technology-trends scan (Exa web scan + code patterns + company research -> Sequential Thinking analysis -> recommendations). Source priority is always official docs (Context7) first, recent tutorials (Exa, <6 months) second, older content only with version verification. It runs in a forked context via the `research-expert` agent. </objective> **Session:** ${CLAUDE_SESSION_ID} **Research Topic:** $ARGUMENTS # Research Skill ## Research Workflows ### Standard Query ``` 1. THINK → Sequential Thinking decomposition 2. RESOLVE → Context7 resolve-library-id 3. DOCUMENT → Context7 query-docs (5000-10000 tokens) 4. SUPPLEMENT → Exa code context search 5. SYNTHESIZE → Structured answer with sources ``` ### Complex Investigation ``` 1. DEEP THINK → Multi-hypothesis Sequential Thinking 2. DEEP RESEARCH → Exa deep researcher (45s-2min) 3. MONITOR → Check status until completed 4. VALIDATE → Cross-check Context7 official sources 5. REPORT → Comprehensive solution ``` ### Technology Trends ``` 1. WEB SCAN → Exa search latest developments 2. CODE PATTERNS → Exa...

Details

Author
fusengine
Repository
fusengine/agents
Created
8 months ago
Last Updated
6 days ago
Language
CSS
License
MIT

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