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 delivery plan against the PM canon (Kanban Guide 2025, Vacanti, DORA 2025, EBM, Klein, GitLab async-first). One forcing question per turn with a recommended answer; refuses to invoke any sub-skill or start a loop until the lane-defining
$ 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-pmContext preview
What this command does when you run it.
Matt Pocock-style interrogation of a delivery plan against the PM canon (Kanban Guide 2025, Vacanti, DORA 2025, EBM, Klein, GitLab async-first). One forcing question per turn with a recommended answer; refuses to invoke any sub-skill or start a loop until the lane-defining
description: Matt Pocock-style interrogation of a delivery plan against the PM canon (Kanban Guide 2025, Vacanti, DORA 2025, EBM, Klein, GitLab async-first). One forcing question per turn with a recommended answer; refuses to invoke any sub-skill or start a loop until the lane-defining decisions are locked. Use before running /cs:pm or /cs:pm-loop on a fuzzy plan. argument-hint: "<delivery plan, goal, or status quo 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.
proves it? Recommended: a named artifact + a command that exits 0 against it. Canon: agent-harness verifier's law."
run `jira_snapshot_bridge.py --to flow` first — WIP, throughput, cycle time, age. Canon: Kanban Guide (May 2025) four mandatory measures."
Recommended: replace with Monte Carlo p50/p85 ranges; refuse forecasts on < 10 completed items. Canon: Vacanti, *When Will It Be Done?*"
and who reviews? Recommended: name both now; `delivery_loop_gate.py` will refuse the plan otherwise. Canon: Linear agents model; Atlassian Rovo audit discipline."
'it's six months later and this failed — why?'; convert top clusters to owned risks. Canon: Klein, HBR 2007."
escalations? Recommended: 3 attempts/task, 12 iterations/goal, a named human. Canon: loop-library terminal states."
Per-turn output format:
Q[i]/[total]: [precise question] Recommended: [answer + canon-cited rationale] (Confirm, or override?)
locked decisions inlined.
digest.
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…