focused-fix
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix <feature-path>
Matt Pocock-style interrogation of a product plan against the product canon (Torres, Cagan Transformed, Reinertsen/WSJF, Amplitude North Star, evals-as-PRD). One forcing question per turn with a recommended answer; refuses to invoke any sub-skill or start a loop until the
$ npx -y skills add alirezarezvani/claude-skills --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/cs-grill-productContext preview
What this command does when you run it.
Matt Pocock-style interrogation of a product plan against the product canon (Torres, Cagan Transformed, Reinertsen/WSJF, Amplitude North Star, evals-as-PRD). One forcing question per turn with a recommended answer; refuses to invoke any sub-skill or start a loop until the
description: Matt Pocock-style interrogation of a product plan against the product canon (Torres, Cagan Transformed, Reinertsen/WSJF, Amplitude North Star, evals-as-PRD). One forcing question per turn with a recommended answer; refuses to invoke any sub-skill or start a loop until the outcome-defining decisions are locked. Use before running /cs:product or /cs:product-loop on a fuzzy plan. argument-hint: "<product plan, roadmap, feature idea, or strategy to interrogate>"
Interrogate this plan — do not execute anything yet:
**$ARGUMENTS**
Five rules (preserved from Matt Pocock, MIT): one question per turn · always give a recommended answer · explore the workspace before asking · walk the decision tree depth-first · track answered questions and their dependencies.
Recommended: write it as the OST root before anything else. Canon: Torres, *Continuous Discovery Habits*."
independent participants back it? Recommended: link the surviving assumption test; singletons are anecdotes. Canon: Bland, *Testing Business Ideas*; Torres."
`ost_linter.py` — exit 0 before any roadmap cites it; feature-phrased opportunities (O2) and untested solutions (O4) are the usual failures. Canon: Torres OST discipline."
value? Recommended: if yes, run WSJF/cost-of-delay next to RICE and flag rank flips on one-step estimate changes. Canon: Reinertsen; the WSJF false-precision critique."
tree, or revenue/vanity? Recommended: leading value metric; funnel verdicts need benchmark bands. Canon: Amplitude, *The North Star Playbook*; ProductLed benchmarks."
golden set, rubric, guardrail SLOs? Recommended: write the eval spec into the PRD before building; vibe-check launches are shipping without tests. Canon: evals-as-PRD (Lenny's/Braintrust)."
Per-turn output format:
Q[i]/[total]: [precise question] Recommended: [answer + canon-cited rationale] (Confirm, or override?)
(recurring discovery) with the locked decisions inlined.
digest.
canon.
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…