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analyze
Deep analysis mode - thorough multi-phase investigation with expert consultation for complex problems requiring careful examination
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Deep analysis mode - thorough multi-phase investigation with expert consultation for complex problems requiring careful examination
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Extract lessons, patterns, and architectural truths to compound team knowledge
Full implementation mode - end-to-end feature implementation with phased execution, parallel work streams, verification gates, and atomic commits per phase
Interactive discovery session to define ADR structure, capture key decisions, and generate ADR content adhering to adr.github.io standards.
Refine epics and stories through cross-functional analysis and requirements gathering
Fetches all unresolved comments for a given PR number and systematically addresses them with code changes, verification, and replies.
Diagnose and fix CI failures using GitHub Actions logs. Iterates through diagnose-fix-verify cycles until CI passes (max 3 iterations).
| name | analyze |
| description | Deep analysis mode - thorough multi-phase investigation with expert consultation for complex problems requiring careful examination |
You MUST delegate system-wide dependency analysis and architectural mapping to the codebase_investigator sub-agent. For high-level design evaluations and technical trade-offs, consult the software-architect.
If you find yourself wanting to write code, STOP. Analysis produces documents, not software.
/analyze command to produce implementation plans for /implementExplore the target area to build context:
Map the structure:
Find patterns:
Gather context:
Analyze the target across these dimensions:
| Domain | Focus Areas |
|---|---|
| Architecture | System design, data flow, component dependencies |
| Security | Vulnerabilities, threat model, input validation |
| Reliability | Scalability, failure modes, error handling |
| Performance | Bottlenecks, complexity, resource usage |
| Code Quality | Patterns, anti-patterns, maintainability |
Examine comprehensively:
Combine findings into a structured report following the template in references/analysis-report-template.md.
The report should include:
| Area | What to Examine |
|---|---|
| Correctness | Logic errors, edge cases, assumptions |
| Security | Input validation, auth, data protection |
| Performance | Complexity, caching, resource usage |
| Reliability | Error handling, failure modes, recovery |
| Maintainability | Readability, coupling, documentation |
| Testability | Coverage, mocking, isolation |
When using this skill to generate implementation plans for /implement:
After fetching the ticket, determine its type and scope:
| Condition | Action |
|---|---|
| Single ticket (story/task) | Proceed with analysis |
| Epic with 1-3 children | Proceed — manageable scope |
| Epic with 4+ children | STOP — Scope too large |
If scope is too large: Ask the user for confirmation before proceeding with large epics, recommending analysis of individual stories instead.
Research the implementation context for each ticket in scope to determine implementation order, parallelization opportunities, and shared concerns.
For each ticket, identify specific files to modify, functions/components to change, schema changes, and test files.
Produce a structured implementation plan using the following template:
# Implementation Plan: <ticket-id>
## Executive Summary
[Summary of scope and approach]
## IDD Context (Intent-Driven Development)
- **Intention (What):** [Link to parent Intention Bead or description]
- **Expectations (How):** [Verifiable constraints and outcomes]
- **Boundaries (What NOT to do):** [Explicit prohibitions and architectural constraints]
## Tickets in Scope
| ID | Title | Status | Dependencies | Parallelizable |
| -- | ----- | ------ | ------------ | -------------- |
## Implementation Phases
### Phase 1: <name>
**Tickets:** <list of ticket IDs>
#### Ticket <ID>: <title>
- **Work:** [Specific actions]
- **Files:** [Files to modify]
- **Verification:** [How to verify]
[Repeat for other phases]
## Risk Assessment
[Risks and mitigations]
## References
- **Refinement Context:** [[working/<project-name>/refinements/<product-name>-idd-context.md]]
Plans MUST be saved using the Obsidian MCP tools (obsidian_create_note). Do NOT use local filesystem write tools.
Path Logic:
BEADS_PROJECT_NAME env var or the current directory name.working/<project-name>/plans/<ticket-id>-plan.mdExample: If project is beads-workflow and ticket is TASK-1, path is working/beads-workflow/plans/TASK-1-plan.md.
Begin by performing reconnaissance on the target area before conducting domain analysis.
Remember: Your output is documentation. Do not write code.