prompt-evaluation-runn…
Use when evaluating prompts, LLM outputs, red-team suites, or model behavior with local eval configs and safe provider/cost…
Use when receiving code review feedback, before implementing suggestions — requires technical verification and reasoned pushback, not performative agreement or blind implementation.
Claude Code
$ npx -y skills add yeaight7/agent-powerups --skill receiving-code-review --agent claude-code
Codex
$ npx skills add yeaight7/agent-powerups --skill receiving-code-review -a codex -y
Cursor
$ npx skills add yeaight7/agent-powerups --skill receiving-code-review -a cursor -y
Gemini CLI
$ npx skills add yeaight7/agent-powerups --skill receiving-code-review -a gemini-cli -y
GitHub Copilot
$ npx skills add yeaight7/agent-powerups --skill receiving-code-review -a github-copilot -y
OpenCode
$ npx skills add yeaight7/agent-powerups --skill receiving-code-review -a opencode -y
Windsurf
$ npx skills add yeaight7/agent-powerups --skill receiving-code-review -a windsurf -y
name: receiving-code-review description: Use when receiving code review feedback, before implementing suggestions — requires technical verification and reasoned pushback, not performative agreement or blind implementation.
Evaluate code review feedback with technical rigor before implementing any changes. Prevents wasted work from blindly applying incorrect suggestions and maintains technical integrity.
1. READ — Complete feedback without reacting 2. UNDERSTAND — Restate requirement in own words (or ask) 3. VERIFY — Check against codebase reality 4. EVALUATE — Technically sound for THIS codebase? 5. RESPOND — Technical acknowledgment or reasoned pushback 6. IMPLEMENT — One item at a time, test each
If any item is unclear: stop, ask for clarification on all unclear items before implementing anything. Items may be related — partial understanding leads to wrong implementation.
Before implementing:
1. Is it technically correct for this codebase? 2. Does it break existing functionality? 3. Is there a reason the current implementation exists? 4. Does it work on all target platforms/versions? 5. Does the reviewer understand the full context?
If suggestion is wrong: push back with technical reasoning. If you cannot easily verify: say so and ask for direction. If it conflicts with prior architectural decisions: stop and discuss with the project owner before proceeding.
If a reviewer suggests "implementing properly" a feature or endpoint:
grep -r "feature_name" .
If unused: propose removal (YAGNI). If used: implement.
For multi-item feedback:
1. Clarify anything unclear first. 2. Then implement in order: blocking issues → simple fixes → complex fixes. 3. Test each fix individually. 4. Verify no regressions.
For each review item:
When feedback is correct:
✅ "Fixed. [Brief description of what changed]" ✅ "Good catch. Fixed in [location]." ✅ [Just fix it and show the code diff]
No performative agreement ("you're absolutely right", "great point", "thanks for catching that").
| Mistake | Fix | | --- | --- | | Performative agreement | State requirement or just act | | Blind implementation | Verify against codebase first | | Batch without testing | One at a time, test each | | Assuming reviewer is right | Check if it breaks things | | Partial implementation | Clarify all items first | | Can't verify, proceed anyway | State limitation, ask for direction |
Curated power-ups for coding agents: skills, slash commands, MCP configs, hooks, AGENTS.md templates, and workflows for serious software engineering. Claude Code, Codex, Antigravity CLI, Cursor and more
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Ask which skill or flow fits your situation. A router over the skills in this repo.