Install
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npx agentmarket install skill/leejaedus-analyze
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/analyze
What's inside
- Skill name
analyze- Description
- Deep analysis and investigation
- License
- MIT
- Instructions
- 90 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
<Purpose>
Analyze performs deep investigation of architecture, bugs, performance issues, and dependencies. It routes to the architect agent or Gemini MCP for thorough analysis and returns structured findings with evidence.
</Purpose>
<Use_When>
- User says "analyze", "investigate", "debug", "why does", or "what's causing"
- User needs to understand a system's architecture or behavior before making changes
- User wants root cause analysis of a bug or performance issue
- User needs dependency analysis or impact assessment for a proposed change
- A complex question requires reading multiple files and reasoning across them
</Use_When>
<Do_Not_Use_When>
- User wants code changes made -- use executor agents or `ralph` instead
- User wants a full plan with acceptance criteria -- use `plan` skill instead
- User wants a quick file lookup or symbol search -- use `explore` agent instead
- User asks a simple factual question that can be answered from one file -- just read and answer directly
</Do_Not_Use_When>
<Why_This_Exists>
Deep investigation requires a different approach than quick lookups or code changes. Analysis tasks need broad context gathering, cross-file reasoning, and structured findings. Routing these to the architect agent or Gemini MCP ensures the right level of depth without the overhead of a full planning or execution workflow.
</Why_This_Exists>
<Execution_Policy>
- Use architect Claude agent as the primary analysis route
- Use Gemini MCP for large-context analysis spanning many files when available
- Always provide context files to the analysis tool for grounded reasoning
- Return structured findings, not just raw observations
</Execution_Policy>
<Steps>
1. **Identify the analysis type**: Architecture, bug investigation, performance, or dependency analysis
2. **Gather relevant context**: Read or identify the key files involved
3. **Route to analyzer**:
- Standard: `Task(subagent_type="pepcode:architect", model="opus", prompt="Analyze: ...")`
- For large-context analysis: `ask_gemini` with `agent_role: "architect"` and relevant files
4. **Return structured findings**: Present the analysis with evidence, file references, and actionable recommendations
</Steps>
<Tool_Usage>
- Before first MCP tool use, call `ToolSearch("mcp")` to discover deferred MCP tools
- Use `Task(subagent_type="pepcode:architect", model="opus", ...)` as the standard analysis route
- Optionally use `ask_gemini` with `agent_role: "architect"` for large-context analysis spanning many files
- Pass `files` with all relevant source files for grounded analysis when using Gemini
- For broad analysis, use `explore` agent first to identify relevant files before routing to architect
</Tool_Usage>
<Examples>
<Good>
User: "analyze why the WebSocket connections drop after 30 seconds"
Action: Gather WebSocket-related files, route to architect with context, return root cause analysis with specific file:line references and a recommended fix.
Why good: Clear investigation target, structured output with evidence.
</Good>
<Good>
User: "investigate the dependency chain from src/api/routes.ts"
Action: Use explore agent to map the import graph, then route to architect for impact analysis.
Why good: Uses explore for fact-gathering, architect for reasoning.
</Good>
<Bad>
User: "analyze the auth module"
Action: Returning "The auth module handles authentication."
Why bad: Shallow summary without investigation. Should examine the module's structure, patterns, potential issues, and provide specific findings with file references.
</Bad>
<Bad>
User: "fix the bug in the parser"
Action: Running analysis skill.
Why bad: This is a fix request, not an analysis request. Route to executor or ralph instead.
</Bad>
</Examples>
<Escalation_And_Stop_Conditions>
- If analysis reveals the issue requires code changes, report findings and recommend using `ralph` or executor for the fix
- If the analysis scope is too broad ("analyze everything"), ask the user to narrow the focus
- If the architect agent fails, report what context was gathered and suggest manual investigation paths
</Escalation_And_Stop_Conditions>
<Final_Checklist>
- [ ] Analysis addresses the specific question or investigation target
- [ ] Findings reference specific files and line numbers where applicable
- [ ] Root causes are identified (not just symptoms) for bug investigations
- [ ] Actionable recommendations are provided
- [ ] Analysis distinguishes between confirmed facts and hypotheses
</Final_Checklist>
Task: {{ARGUMENTS}}From leejaedus/pepcode, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Feb 12, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/leejaedus/pepcode
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Analyze agent usage patterns and recommend cleanup of unused agents
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ecomode
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Cite this page
analyze skill. Agent Mart. https://agentmart.dev/skills/leejaedus-analyze (last updated 2026-10-24)