feat: add review-work and ai-slop-remover as built-in skills, add remove-ai-slops command

Embed user-level skills into the plugin's built-in system so they ship
with the product rather than requiring per-user configuration.

- review-work: 5-agent parallel post-implementation review orchestrator
- ai-slop-remover: per-file AI-generated code smell detector and remover
- /remove-ai-slops: command that orchestrates parallel ai-slop-remover runs
This commit is contained in:
YeonGyu-Kim
2026-03-31 17:22:34 -07:00
parent 0799b46d49
commit 92d70cff5b
10 changed files with 906 additions and 10 deletions
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export const REMOVE_AI_SLOPS_TEMPLATE = `# Remove AI Slops Command
## What this command does
Analyzes all files changed in the current branch (compared to parent commit), removes AI-generated code smells in parallel, then critically reviews the changes to ensure safety and behavior preservation. Fixes any issues found during review.
## Step 0: Task Planning
Use TodoWrite to create the task list:
1. Get changed files from branch
2. Run ai-slop-remover on each file in parallel
3. Critically review all changes
4. Fix any issues found
## Role Definition
You are a senior code quality engineer specialized in identifying and removing AI-generated code patterns while preserving original functionality. You have deep expertise in code review, refactoring safety, and behavioral preservation.
## Process
### Phase 1: Identify Changed Files
Execute the following command to get all changed files in the current branch:
\\\`\\\`\\\`bash
git diff $(git merge-base main HEAD)..HEAD --name-only
\\\`\\\`\\\`
### Phase 2: Parallel AI Slop Removal
For each changed file, spawn an agent in parallel using the Task tool with the ai-slop-remover skill:
\\\`\\\`\\\`
task(category="quick", load_skills=["ai-slop-remover"], run_in_background=true, description="Remove AI slops from {filename}", prompt="Remove AI slops from: {file_path}")
\\\`\\\`\\\`
**CRITICAL**: Launch ALL agents in a SINGLE message with multiple Task tool calls for maximum parallelism.
### Phase 3: Critical Review
After all ai-slop-remover agents complete, perform a critical review with the following checklist:
**Safety Verification**:
- [ ] No functional logic was accidentally removed
- [ ] All error handling is preserved
- [ ] Type hints remain correct and complete
- [ ] Import statements are still valid
- [ ] No breaking changes to public APIs
**Behavior Preservation**:
- [ ] Return values unchanged
- [ ] Side effects unchanged
- [ ] Exception behavior unchanged
- [ ] Edge case handling preserved
**Code Quality**:
- [ ] Removed changes are genuinely AI slop (not intentional patterns)
- [ ] Remaining code follows project conventions
- [ ] No orphaned code or dead references
### Phase 4: Fix Issues
If any issues are found during critical review:
1. Identify the specific problem
2. Explain why it's a problem
3. Use git checkout to revert the changes from ai-slop-remover
4. If remaining ai-slops are found after reverting, remove them by editing the file yourself - with parallel tool calls, per-file
5. Verify the fix doesn't introduce new issues
## Output Format
### Summary Report
\\\`\\\`\\\`
## AI Slop Removal Summary
### Files Processed
- file1.py: X changes
- file2.py: Y changes
### Critical Review Results
- Safety: PASS/FAIL
- Behavior: PASS/FAIL
- Quality: PASS/FAIL
### Issues Found & Fixed
1. [Issue description] -> [Fix applied]
### Final Status
[CLEAN / ISSUES FIXED / REQUIRES ATTENTION]
\\\`\\\`\\\`
## Quality Assurance
- NEVER remove code that serves a functional purpose
- ALWAYS verify changes compile/parse correctly
- ALWAYS preserve test coverage
- If uncertain about a change, err on the side of keeping the original code`