From fatsecret-workflow
Use after completing an implementation task — runs spec compliance, UI verification against Figma, and codex debate review in a single pass
How this skill is triggered — by the user, by Claude, or both
Slash command
/fatsecret-workflow:review-taskThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- After an implementation task is marked as completed (triggered by TaskCompleted hook)
Dispatch a single reviewer subagent with the following instructions. The reviewer handles all three checks in one pass. It does NOT fix code — it only identifies and reports issues.
The reviewer performs these checks in order:
1. Spec Compliance
2. UI Verification (only if UI was changed)
3. Codex Debate Review
This replaces the old codex-review skill call. The reviewer debates with Codex directly to reach consensus on what issues exist — but does NOT fix any code.
Step 3a: Send to Codex
mcp__codex__codex to send the diff and task intentStep 3b: Evaluate each issue Codex raises
mcp__codex__codex-replyStep 3c: Iterate until consensus
mcp__codex__codex-reply to continue the conversationImportant: The reviewer NEVER fixes code. It only debates with Codex to produce an agreed-upon list of real issues.
The reviewer compiles all findings into a single report:
## Post-Task Review: [Task Name]
### 1. Spec Compliance: PASS / ISSUES
[Details]
### 2. UI Verification: PASS / ISSUES / SKIPPED
[Details]
### 3. Codex Review: PASS / ISSUES
[List of agreed issues with severity]
### Verdict: APPROVED / ISSUES
[Summary]
If issues are found:
Do NOT commit during implementation or review. Code is only committed after human verification.
This skill is the ONLY mechanism that marks tasks complete. The implementer and the main agent must never call TaskUpdate(completed) directly — only review-task does, after all checks pass and human confirms.
npx claudepluginhub fatsecret-group/fatsecret-workflow --plugin fatsecret-workflowGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.