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fixing-code

fixing-codeSafety 95Repository

Fix ALL issues via parallel agents with zero tolerance quality enforcement. Use when user says "fix", "fix issues", "fix errors", "fix all", "fix bugs", "fix lint", "fix tests", or wants to resolve code problems.

0 stars
1.2k downloads
Updated 2/5/2026

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SKILL.md

Fix All Issues

Execute until clean. Parallel analysis, sequential fixes.

Use TodoWrite to track these 5 phases:

  1. Run validation
  2. Parallel analysis (spawn agents)
  3. Collect analysis results
  4. Sequential fixes
  5. Final verification

Phase 1: Run Validation

make lint 2>&1 | head -100
make test 2>&1 | head -100

No Makefile? Detect language and run:

  • Go: golangci-lint run ./... 2>&1 | head -100 && go test -race ./... 2>&1 | head -100
  • Python: ruff check . 2>&1 | head -100 && pytest 2>&1 | head -100
  • TypeScript: bun lint 2>&1 | head -100 && bun test 2>&1 | head -100
  • Web (HTML/CSS/JS): bunx html-validate "**/*.html" 2>&1 | head -50 && bunx stylelint "**/*.css" 2>&1 | head -50 && bunx eslint "**/*.js" 2>&1 | head -50

If all pass: Report "All checks pass" → stop.


Phase 2: Parallel Analysis (Read-Only)

Spawn ALL relevant language agents IN ONE MESSAGE for parallel execution:

Based on detected languages with issues, spawn analysis agents:

Task(
  subagent_type="go-qa",
  run_in_background=true,
  description="Go issue analysis",
  prompt="Analyze these Go issues. DO NOT FIX - analysis only.
  Issues:
  {lint/test output}

  Return structured analysis:
  - Root cause for each issue
  - Suggested fix approach
  - File:line references
  - Priority (critical/important/minor)"
)

Task(
  subagent_type="py-qa",
  run_in_background=true,
  description="Python issue analysis",
  prompt="Analyze these Python issues. DO NOT FIX - analysis only.
  Issues:
  {lint/test output}

  Return structured analysis:
  - Root cause for each issue
  - Suggested fix approach
  - File:line references
  - Priority (critical/important/minor)"
)

Task(
  subagent_type="web-qa",
  run_in_background=true,
  description="Web frontend issue analysis",
  prompt="Analyze these web frontend issues. DO NOT FIX - analysis only.
  Issues:
  {lint/test output}

  Return structured analysis:
  - Root cause for each issue
  - Suggested fix approach
  - File:line references
  - Priority (critical/important/minor)"
)

Phase 3: Collect Analysis Results

TaskOutput(task_id=<go_qa_id>, block=true)
TaskOutput(task_id=<py_qa_id>, block=true)
TaskOutput(task_id=<web_qa_id>, block=true)

Merge and prioritize issues:

  1. Critical (blocking): Fix first
  2. Important (quality): Fix second
  3. Minor (style): Fix if time permits

Phase 4: Sequential Fixes

Fix issues ONE AT A TIME to avoid conflicts:

For each issue (prioritized order):

  1. Read the file
  2. Apply fix using Edit tool
  3. Verify fix didn't break anything: make lint && make test or equivalent

If fix causes new issues: Revert and try alternative approach.


Phase 5: Final Verification

make lint && make test

Loop back to Phase 2 if issues remain.


Exit Criteria

  • Build passes
  • All tests pass
  • Zero lint errors

Output

FIX COMPLETE
============
Analysis: {N} issues identified by {M} agents
Fixed: {X} issues
Remaining: {Y} non-blocking (if any)
Status: CLEAN | NEEDS ATTENTION

Changes:
- file1.go:42 - Fixed null pointer check
- file2.py:15 - Added missing type hint

Execute validation now.

Install

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Requires askill CLI v1.0+

AI Quality Score

95/100Analyzed 2/13/2026

An exceptionally well-structured skill for automated code repair. It defines a robust 5-phase workflow including validation, parallel analysis via subagents, sequential fixing, and verification. The use of specific commands for multiple languages, clear error handling strategies, and parallel execution patterns makes it highly actionable and safe.

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Metadata

Licenseunknown
Version-
Updated2/5/2026
Publishermajiayu000

Tags

ci-cdlintingpromptingtesting