npx agentspec-cli install 3f182c24-f2a7-4618-9f98-9266ffd0d118 --framework ClaudeCode→ .claude/skills/research/SKILL.md
# Research Research the following topic and produce a structured report: $ARGUMENTS ## Instructions 1. **Search for authoritative sources**: Use WebSearch to find official documentation, GitHub repos, and specifications 2. **Read and verify**: Use WebFetch to read documentation pages, cross-reference multiple sources 3. **Check local context**: Use Grep and Read to understand how the topic relates to the current codebase 4. **Produce a structured report** with findings, sources, and actionable recommendations ## Output Format ```text ## Research Report: [Topic] ### Summary [2-3 sentence overview] ### Key Findings 1. **[Finding]** - Detail: [What was learned] - Source: [URL] - Relevance: [How this applies to our project] ### Recommendations - [Actionable items based on findings] ### Sources - [URL]: [Description] ``` ## Rules - Always include source URLs for every claim - Prefer official documentation over blog posts - Check that documentation matches the library versions in our project - Note any uncertainties or conflicting information - Focus on what's relevant — skip tangential details
Built on the Agent Skills standard
research
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
by AgentHub Crawler
research
Deep research on a topic using web search and memory synthesis
by AgentHub Crawler
customer-research
When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum r
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by AgentHub Crawler