agentsclimarketplace

Self review

Skill tykisgod/quick-question/skills/self-review

The control plane for game-dev agents — close the loop with verified compile, test, and cross-model review across Unity, Godot, Unreal, and S&box. Lifecycle-aware /qq:go routing, 26 /qq:* slash commands. Claude Code-first, agent-agnostic via HTTP and MCP.

Install
npx -y skills add tykisgod/quick-question --skill self-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 10 stars10 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Review changes from the most recent interaction (skills, configs, settings, and other lightweight changes) for quality and consistency.

SKILL.md

3.1 KB, as published. Nobody here has run it

Respond in the user's preferred language (detect from their recent messages, or fall back to the language setting in CLAUDE.md).

Review changes from the most recent interaction via a subagent review loop. Automatically loops until no critical issues remain or 5 rounds are completed.

For Unity changes: when verifying that a runtime/scene change actually behaves as intended, use tykit live queries (unity_query / get-field / console) instead of re-reading the diff. See shared/tykit-first.md.

Steps

1. Collect changed files

Look back at the files changed in the most recent interaction and list them (file paths + one-line summary of each change).

2-6. Automated Review Loop

Loop automatically. Terminates when:

  • No [Critical] issues in the review
  • 5 rounds completed
  • No new critical issues in two consecutive rounds

Output === Round N/5 === at the start of each round.

a. Dispatch review subagent

Dispatch a subagent (subagent_type: "general-purpose", model: "opus") with a prompt containing:

  1. The list of changed files and a summary of what was changed
  2. The full current content of each changed file (read them yourself first, then paste into the prompt — the subagent cannot read your session history)
  3. Review checklist:
    • Logical correctness — are references correct, are step numbers sequential, do file paths exist
    • Consistency — does the style match existing content in this repo
    • Omissions — are there related files that should have been updated but were missed
    • Redundancy — unnecessary blank lines, duplicate content
    • Naming — are renamed symbols/paths consistent everywhere
  4. Required output format: classify each finding as [Critical], [Moderate], or [Suggestion] with file path, line number, and explanation

b. Fix confirmed issues

  • For each [Critical] issue: fix immediately
  • For each [Moderate] issue: fix at discretion
  • [Suggestion] items: note but do not fix unless trivial

c. Determine whether to continue

  • If this round had [Critical] issues fixed → start next round (back to a)
  • If no [Critical] issues → output "Review passed" and proceed to cleanup
  • If two consecutive rounds had no new critical issues → output "Review passed" and proceed to cleanup
  • If 5 rounds completed → output final status and proceed to cleanup

7. Clean up

Output a brief review conclusion, then clear the skill change marker:

source "${CLAUDE_PLUGIN_ROOT}/scripts/platform/detect.sh"
rm -f "$QQ_TEMP_DIR/claude-skill-modified-marker-$PPID"

Handoff

After the review loop ends, recommend the next step:

  • Review passed, no issues → "All clean. Ready to /qq:commit-push?"
  • Issues were found and fixed → "Fixed N issues across M rounds. Want to /qq:commit-push?"
  • 5 rounds exhausted with remaining issues → "Some issues remain after 5 rounds. Please review manually before committing."

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.