focused-fix
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix <feature-path>
Reverse-engineer a frontend codebase into a PRD. Usage: /code-to-prd [path]
$ npx -y skills add alirezarezvani/claude-skills --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/code-to-prdContext preview
What this command does when you run it.
Reverse-engineer a frontend codebase into a PRD. Usage: /code-to-prd [path]
name: code-to-prd description: "Reverse-engineer a frontend codebase into a PRD. Usage: /code-to-prd [path]" argument-hint: "[path]"
Reverse-engineer a frontend codebase into a complete Product Requirements Document.
/code-to-prd # Analyze current project /code-to-prd ./src # Analyze specific directory /code-to-prd /path/to/project # Analyze external project
1. **Scan** — Run `codebase_analyzer.py` to detect framework, routes, APIs, enums, and project structure 2. **Scaffold** — Run `prd_scaffolder.py` to create `prd/` directory with README.md, per-page stubs, and appendix files 3. **Analyze** — Walk through each page following the Phase 2 workflow: fields, interactions, API dependencies, page relationships 4. **Generate** — Produce the final PRD with all pages, enum dictionary, API inventory, and page relationship map
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.jsonDisplay a summary of findings: framework, page count, API count, enum count.
Generate the PRD directory skeleton:
python3 {skill_path}/scripts/prd_scaffolder.py .code-to-prd-analysis.json -o prd/For each page in the inventory, follow the SKILL.md Phase 2 workflow:
Work in batches of 3-5 pages for large projects (>15 pages). Ask the user to confirm after each batch.
Complete the appendix files:
Clean up the temporary analysis file:
rm .code-to-prd-analysis.json
A `prd/` directory containing:
388 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools. The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents.
Repo: alirezarezvani/claude-skills
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix <feature-path>
Clean up merged branches locally and on remote, keeping only main, dev, and gh-pages.
Stage, commit, and push the current branch following git governance rules.
Comprehensive audit pipeline for skills, plugins, agents, and commands. Validates structure, quality, security, marketplace compliance, cross-platform…