focused-fix
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix <feature-path>
Run the continuous-discovery loop — score the weekly cadence (Torres), act on the named gap, lint the Opportunity Solution Tree as the machine gate, and keep the streak alive with explicit stop states. The product-domain recurring loop; graduates validated assumptions to
$ npx -y skills add alirezarezvani/claude-skills --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/cs-product-loopContext preview
What this command does when you run it.
Run the continuous-discovery loop — score the weekly cadence (Torres), act on the named gap, lint the Opportunity Solution Tree as the machine gate, and keep the streak alive with explicit stop states. The product-domain recurring loop; graduates validated assumptions to
description: Run the continuous-discovery loop — score the weekly cadence (Torres), act on the named gap, lint the Opportunity Solution Tree as the machine gate, and keep the streak alive with explicit stop states. The product-domain recurring loop; graduates validated assumptions to experiments or PRDs. argument-hint: "[path to discovery_log.json] [path to ost.json]"
Inputs (defaults: `discovery_log.json` and `ost.json` in the workspace; shapes in `product-team/skills/product-skills/assets/`):
**$ARGUMENTS**
1. **Observe** —
python3 product-team/skills/product-skills/scripts/discovery_cadence_tracker.py --input discovery_log.json
Exit 5 (< 2 interviews): there is no cadence to measure — help the user book the first two weekly touchpoints and write the outcome statement; stop there. 2. **Choose** — the report's `next_loop_action` is the choice. Typical actions: book the missing weekly touchpoint · re-anchor the interview guide on the outcome · test the top untested assumption (route to `product-discovery`'s assumption_mapper to rank). 3. **Act** — execute with the routed sub-skill's tools (ux-researcher-designer for the interview, experiment-designer for the test design). One bounded action per iteration. 4. **Verify** —
python3 product-team/skills/product-skills/scripts/ost_linter.py --input ost.json
Exit 2 → fix the listed O1–O5 violations before the tree may drive any roadmap or experiment. Then re-run the cadence tracker and confirm the health score did not drop. 5. **Record** — update `discovery_log.json` (interview/test entries) and `ost.json`; note the health score in the digest so the trend is visible across iterations. 6. **Repeat or stop** — terminal states:
(A/B gate) or `product-manager-toolkit` (PRD with eval spec if the feature is AI-powered).
never let discovery die silently.
anecdotes.
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…