analysis
Create structured analyses with numbered findings, execution plans, and task materialization
Best use case
analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Create structured analyses with numbered findings, execution plans, and task materialization
Teams using analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analysis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analysis Compares
| Feature / Agent | analysis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Create structured analyses with numbered findings, execution plans, and task materialization
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
Create a structured analysis for: $ARGUMENTS Steps: 1. Call `rulebook_analysis_create` with the topic to scaffold `docs/analysis/<slug>/` 2. Check existing knowledge: `rulebook_knowledge_list` and `rulebook_memory_search` for prior context 3. Investigate the topic — read relevant files, search codebase, fetch docs as needed 4. Fill `findings.md` with numbered findings (F-001..F-NNN), each with: title, evidence (file:line), impact, confidence 5. Design phased execution plan in `execution-plan.md` 6. Consolidate the executive summary in `README.md` 7. Capture each key finding to the knowledge base: `rulebook_knowledge_add` for patterns/anti-patterns 8. Save analysis summary to memory: `rulebook_memory_save` with type `observation` and tags `["analysis", "<slug>"]` 9. Offer to materialize implementation tasks from the execution plan via `rulebook_task_create`
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