focused-fix
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix <feature-path>
Gated PRD generation — interrogates problem, user, and metric before drafting; refuses to draft on unknowns. Usage: /prd <feature-or-problem>
$ npx -y skills add alirezarezvani/claude-skills --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/prdContext preview
What this command does when you run it.
Gated PRD generation — interrogates problem, user, and metric before drafting; refuses to draft on unknowns. Usage: /prd <feature-or-problem>
name: prd description: "Gated PRD generation — interrogates problem, user, and metric before drafting; refuses to draft on unknowns. Usage: /prd <feature-or-problem>" argument-hint: <feature-or-problem>
Generate a concise, evidence-gated product requirements document for `$ARGUMENTS`.
/prd <feature-or-problem>
`$ARGUMENTS` is the feature, initiative, or problem statement. If empty, ask for it before doing anything else.
Walk these one at a time. Do not batch them. Each answer feeds a required PRD section.
1. **Problem** — What user problem does this solve, and how do you know it exists? (Evidence: support tickets, interview quotes, funnel data — "the CEO wants it" is not evidence.) 2. **User** — Who specifically has this problem? (Segment, role, frequency of pain. "Everyone" is a non-answer.) 3. **Metric** — What single number moves if this works, by how much, measured where? 4. **Alternatives** — What do these users do today instead? Why is that not good enough? 5. **Non-goals** — What adjacent asks are explicitly out of scope for v1?
**Refuse to draft the PRD if the answer to question 1 (problem), 2 (user), or 3 (metric) is unknown, circular, or "we'll figure it out later."** Instead, output the open questions and the cheapest way to answer each (e.g., 5 customer interviews, a funnel query, a fake-door test). A PRD without a problem, a user, and a metric is a feature wish, not a requirements document.
Every PRD must contain all of these sections — emit the checklist at the end and mark each:
Keep it to ~2 pages. Use the repo template as the skeleton.
If the user has multiple candidate features, offer to RICE-score them before committing the PRD:
python3 product-team/skills/product-manager-toolkit/scripts/rice_prioritizer.py features.csv --capacity 20
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…