Respond Review
SkillAI & modelsLets your agent work through code review findings by sorting them, applying fixes, and re-running tests.
Use Respond Review in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Respond Review and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Respond Review skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
Act on a reviewer agent's feedback systematically, categorize findings, apply fixes, verify tests still pass. Use after request-review returns a report, or when user wants to work through code review findings.
What this skill tells your AI
The instructions your AI receives, as published by danielvm-git/bigpowers in skills/respond-review/SKILL.md and read by Ahel’s review.
HARD GATE — HARD GATE — Every reviewer comment must be addressed (fix, disagree + document reason, or ask clarification). Do NOT ignore feedback and merge.
Work through reviewer findings systematically. Don't apply changes blindly — categorize first, then decide, then fix, then verify.
Process
1. Read the full review report
Read every finding before acting on any of them. Get the full picture first.
2. Categorize findings
For each finding, assign a category:
| Category | Meaning | Action |
|---|---|---|
| must-fix | Correctness bug, security issue, test failure, CONVENTIONS.md violation | Fix before proceeding |
| should-fix | Code quality issue, naming, clarity — worth fixing but not blocking | Fix if time allows |
| consider | Architectural suggestion, alternative approach — may or may not apply | Discuss with user |
Create a numbered list of all findings with their categories.
3. Confirm with user (for consider-category items)
For each "consider" item, briefly describe the trade-off and ask: "Apply, skip, or discuss?"
4. Apply must-fix items first
Fix every must-fix item. For each one:
- Describe what you're changing and why
- Make the change
- Run the verify command if one exists for this area
5. Apply should-fix items
Apply should-fix items. If any are large enough to warrant their own commit, note them separately.
6. Run the full suite
After all changes are applied:
<full test command>
<typecheck command>
<lint command>
- All tests pass
- No type errors
- No lint violations
7. Report
Summarize what was applied and what was skipped:
Applied (must-fix): #1, #2, #3
Applied (should-fix): #4
Skipped (consider): #5 — agreed with user to defer
All tests pass.
Suggest next skill: commit-message.
Signals
- GitHub stars
- 248
- Forks
- 19
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
respond-review- Source
- github.com/danielvm-git/bigpowers
github.com/danielvm-git/bigpowers
More in AI & models
Skill · anthropics
More in AI & modelstriage
Skill · mattpocock
More in AI & modelswayfinder
Skill · mattpocock
More in AI & modelsalgorithmic-art
Skill · anthropics
More in AI & modelscode-review-and-quality
Skill · addyosmani
More in AI & modelsmarketing-psychology
Skill · coreyhaines31
More in AI & models