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deep-analysis

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Reusable deep exploration and synthesis workflow. Use when asked for "deep analysis", "deep understanding", "analyze codebase", "explore and analyze", or "investigate codebase".

5 stars
1.2k downloads
Updated 2/15/2026

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SKILL.md

Deep Analysis Workflow

Execute a structured exploration + synthesis workflow using parallel code-explorer agents and a codebase-synthesizer agent. This skill can be invoked standalone or loaded by other skills as a reusable building block.

Phase 1: Exploration

Goal: Thoroughly explore the codebase to gather raw findings.

  1. Determine analysis context:

    • If $ARGUMENTS is provided, use it as the analysis context (feature area, question, or general exploration goal)
    • If no arguments and this skill was loaded by another skill, use the calling skill's context
    • If no arguments and standalone invocation, set context to "general codebase understanding"
    • Set PATH = current working directory
    • Inform the user: "Exploring codebase at: PATH" with the analysis context
  2. Load skills for this phase:

    • Read ${CLAUDE_PLUGIN_ROOT}/skills/project-conventions/SKILL.md and apply its guidance
    • Read ${CLAUDE_PLUGIN_ROOT}/skills/language-patterns/SKILL.md and apply its guidance
  3. Determine focus areas:

    • For feature-focused analysis, use 3 agents:
      Agent 1: Explore entry points and user-facing code related to the context
      Agent 2: Explore data models, schemas, and storage related to the context
      Agent 3: Explore utilities, helpers, and shared infrastructure
      
    • For general codebase understanding, 2 agents may suffice:
      Agent 1: Explore application structure, entry points, and core logic
      Agent 2: Explore configuration, infrastructure, and shared utilities
      
  4. Launch code-explorer agents:

    Launch agents in parallel using the Task tool with subagent_type: "claude-alchemy-tools:code-explorer":

    Path to analyze: [PATH]
    Analysis context: [context from step 1]
    Focus area: [specific focus for this agent]
    
    Find and analyze:
    - Relevant files and their purposes
    - Key functions/classes and their roles
    - Existing patterns and conventions
    - Integration points and dependencies
    
    Return a structured report of your findings.
    
  5. Handle agent failures:

    • If an agent fails, note which focus area was missed
    • Continue with successful results — partial findings are still valuable
    • If all agents fail, inform the user and offer to retry or explore manually

Phase 2: Synthesis

Goal: Merge exploration findings into a unified analysis.

  1. Launch codebase-synthesizer agent:

    Use the Task tool with subagent_type: "claude-alchemy-tools:codebase-synthesizer" and model: "opus":

    Analysis context: [context from Phase 1]
    Codebase path: [PATH]
    
    Exploration findings from [N] agents:
    
    --- Agent 1: [Focus Area] ---
    [Full report from agent 1]
    
    --- Agent 2: [Focus Area] ---
    [Full report from agent 2]
    
    --- Agent 3: [Focus Area] (if applicable) ---
    [Full report from agent 3]
    
    Synthesize these findings into a unified analysis. Merge duplicates,
    read critical files in depth, map relationships between components,
    identify patterns, and assess challenges.
    
  2. Review synthesis:

    • Verify the synthesizer covered all focus areas
    • If critical gaps exist, use Glob/Grep to fill them directly

Completion

  • Standalone invocation: Present the synthesized analysis to the user. The results remain in conversation memory for follow-up questions.
  • Loaded by another skill: The synthesis is complete. Control returns to the calling workflow — do not present a standalone summary.

Error Handling

If any phase fails:

  1. Explain what went wrong
  2. Ask the user how to proceed:
    • Retry the phase
    • Continue with partial results
    • Abort the analysis

Agent Coordination

When launching parallel agents:

  • Give each agent a distinct focus area to minimize overlap
  • Wait for all agents to complete before proceeding to synthesis
  • Handle agent failures gracefully — continue with partial results

When calling Task tool for agents:

  • Use model: "opus" for codebase-synthesizer agent
  • Use default model (sonnet) for code-explorer agents

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

90/100Analyzed 2/19/2026

Well-structured reusable deep analysis workflow with clear phases, explicit triggers, and comprehensive agent coordination. Excellent actionability with detailed steps for exploration and synthesis. Tags provide good discoverability. Designed as a reusable building block for other skills. Minor improvements: could include more examples and validation steps.

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Metadata

Licenseunknown
Version-
Updated2/15/2026
Publishersequenzia

Tags

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