mirror of https://github.com/alirezarezvani/claude-skills.git synced 2026-09-05 08:05:57 +00:00

Merge origin/dev: reconcile docs redesign with upstream skill changes

- Resolve conflicts: keep redesigned skills index, take dev's cs-aeo link
  fix, union of DOMAIN_SEO_CONTEXT entries in generate-docs.py
- Regenerate catalog on the merged tree (dev's agent/command description
  updates, removed ai-seo/release-manager/command-guide, restructured
  universal-scraping-architect)
- Update counters to post-merge truth from scripts/derive_counters.py:
  345 skills, 78 plugins (14 bundles + 64 standalone), 570+ Python tools
- Add redirects for upstream-removed pages (ai-seo -> aeo,
  release-manager -> changelog-generator, command-guide -> engineering index)
- Add compliance-os bundle to bundle tables; rebuild 78-plugin table from
  marketplace.json
- Teach the generator to rewrite repo-root-relative source links to GitHub
  URLs — mkdocs build --strict now passes with zero warnings

https://claude.ai/code/session_015bYZ97nV4oRb3LbxCRFVcP

2026-06-11 15:52:42 +00:00

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title	description
/code-to-prd — Slash Command for AI Coding Agents	Reverse-engineer a frontend codebase into a PRD. Usage: /code-to-prd [path]. Slash command for Claude Code, Codex CLI, Gemini CLI.

/code-to-prd

:material-console: Slash Command :material-github: Source

Reverse-engineer a frontend codebase into a complete Product Requirements Document.

Usage

/code-to-prd                    # Analyze current project
/code-to-prd ./src              # Analyze specific directory
/code-to-prd /path/to/project   # Analyze external project

What It Does

Scan — Run codebase_analyzer.py to detect framework, routes, APIs, enums, and project structure
Scaffold — Run prd_scaffolder.py to create prd/ directory with README.md, per-page stubs, and appendix files
Analyze — Walk through each page following the Phase 2 workflow: fields, interactions, API dependencies, page relationships
Generate — Produce the final PRD with all pages, enum dictionary, API inventory, and page relationship map

Steps

Step 1: Analyze

Determine the project path (default: current directory). Run the frontend analyzer:

python3 {skill_path}/scripts/codebase_analyzer.py {project_path} -o .code-to-prd-analysis.json

Display a summary of findings: framework, page count, API count, enum count.

Step 2: Scaffold

Generate the PRD directory skeleton:

python3 {skill_path}/scripts/prd_scaffolder.py .code-to-prd-analysis.json -o prd/

Step 3: Fill

For each page in the inventory, follow the SKILL.md Phase 2 workflow:

Read the page's component files
Document fields, interactions, API dependencies, page relationships
Fill in the corresponding prd/pages/ stub

Work in batches of 3-5 pages for large projects (>15 pages). Ask the user to confirm after each batch.

Step 4: Finalize

Complete the appendix files:

prd/appendix/enum-dictionary.md — all enums and status codes found
prd/appendix/api-inventory.md — consolidated API reference
prd/appendix/page-relationships.md — navigation and data coupling map

Clean up the temporary analysis file:

rm .code-to-prd-analysis.json

Output

A prd/ directory containing:

README.md — system overview, module map, page inventory
pages/*.md — one file per page with fields, interactions, APIs
appendix/*.md — enum dictionary, API inventory, page relationships

Skill Reference

product-team/code-to-prd/skills/code-to-prd/SKILL.md
product-team/code-to-prd/skills/code-to-prd/scripts/codebase_analyzer.py
product-team/code-to-prd/skills/code-to-prd/scripts/prd_scaffolder.py
product-team/code-to-prd/skills/code-to-prd/references/prd-quality-checklist.md

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