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Use for /wf-review in Claude Code, $wf-review or /skills wf-review in Codex, peer review, second opinion, or cross-model review.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Use when work needs bounded subagent coordination, parallel read-only exploration, independent review gates, broad context partitioning, or controlled handoffs.
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
Perpetual auto-optimization mode. Never stops until 8-angle exhaustion. Inherits WF acceptance gates and subagent orchestration per cycle. Use for Claude /wf-auto, Codex $wf-auto, auto mode, or unbounded self-directed optimization.
Perpetual inspiration mode for /wf-auto-spark or $wf-auto-spark. Inherits WF-AUTO/WF execution gates while using external spark search, roadmap anchoring, and <=50% deviation guard.
Use for /wf-learn in Claude Code, $wf-learn or /skills wf-learn in Codex, or when the user wants a learning cycle from repeated errors, corrections, patterns, or session history.
Use for /wf-max in Claude Code, $wf-max or /skills wf-max in Codex, or maximum-parallelism Harness work with WF strict-superset gates and CEO -> manager -> worker decomposition.
| name | wf-review |
| description | Use for /wf-review in Claude Code, $wf-review or /skills wf-review in Codex, peer review, second opinion, or cross-model review. |
Use the other available agent CLI for independent review. Never simulate a cross-model review with the same model.
/wf-review [focus] or select the wf-review skill.$wf-review or /skills then choose wf-review.| Runtime | Command |
|---|---|
| Claude Code -> Codex | `git diff |
| Codex -> Claude Code | `git diff |
| Only one CLI | Warn user. Do not self-review. |
Cover correctness, security, architecture, performance, and tests. Classify findings as Critical, High, Medium, or Low. Return raw peer output first, then your severity-classified synthesis.
Include the relevant diff, Harness/architecture.md when architecture is in
scope, and any task acceptance criteria. If the diff is too large, ask for a
narrower scope before invoking the other CLI.