Agent-Skills.md

Agent Skills: Deep Analysis

Uses multiple parallel finder agents and multiple oracle consultations simultaneously for broad analysis. Use when asked to search from multiple angles, investigate across many files, or need parallel multi-perspective analysis.

UncategorizedID: meglinge/megskills/deep-analysis

Repository

meglinge/megskills
meglingeLicense: MIT

Install this agent skill to your local

pnpm dlx add-skill https://github.com/meglinge/megskills/tree/HEAD/skills/deep-analysis

Skill Files

Browse the full folder contents for deep-analysis.

Download Skill

Loading file tree…

skills/deep-analysis/SKILL.md

Skill Metadata

Name
deep-analysis
Description
Uses multiple parallel finder agents and multiple oracle consultations simultaneously for broad analysis. Use when asked to search from multiple angles, investigate across many files, or need parallel multi-perspective analysis.

Deep Analysis

Performs thorough codebase investigation using parallel search agents and multiple oracle consultations for comprehensive analysis.

When to Use

  • Complex debugging across multiple files
  • Architecture or design pattern analysis
  • Understanding cross-cutting concerns
  • Investigating system-wide issues
  • Deep code review and quality assessment

Workflow

Phase 1: Parallel Search

Launch multiple finder agents simultaneously to explore different aspects:

1. Search for core functionality: finder("Find the main implementation of [feature]")
2. Search for related components: finder("Find all components that interact with [feature]")
3. Search for tests: finder("Find all tests related to [feature]")
4. Search for configuration: finder("Find configuration and settings for [feature]")

Execute all finder calls in parallel for maximum efficiency.

Phase 2: Multi-Oracle Analysis

After gathering search results, consult the oracle multiple times for different perspectives:

1. Oracle #1 - Architecture Review:
   oracle(task: "Review the architecture of [feature]", files: [relevant_files])

2. Oracle #2 - Code Quality Analysis:
   oracle(task: "Analyze code quality, patterns, and potential issues", files: [relevant_files])

3. Oracle #3 - Integration Analysis:
   oracle(task: "Analyze how components integrate and identify coupling issues", files: [relevant_files])

Phase 3: Synthesis

Combine insights from all oracles to provide:

  • Comprehensive understanding of the system
  • Identified issues and their root causes
  • Actionable recommendations
  • Priority ranking of findings

Best Practices

  1. Parallel Execution: Always run independent finder calls in a single message block
  2. Focused Queries: Each finder/oracle should have a specific, focused objective
  3. Progressive Depth: Start broad, then drill down into problem areas
  4. Cross-Reference: Use oracle findings to guide additional targeted searches
  5. Document Findings: Use todo_write to track discoveries and action items

Example Usage

For investigating a performance issue:

Phase 1 - Parallel Search:
- finder("Find database query implementations")
- finder("Find caching mechanisms")
- finder("Find API endpoint handlers")
- finder("Find performance-related tests or benchmarks")

Phase 2 - Oracle Analysis:
- oracle: "Analyze database query patterns for N+1 issues"
- oracle: "Review caching strategy effectiveness"
- oracle: "Identify bottlenecks in request handling"

Phase 3 - Synthesize and Report