LLM Skills
~/catalogue/documentation technique//todos-to-issues

TODOs vers issues GitHub

/todos-to-issues

Je parcours votre codebase pour trouver les commentaires TODO et créer des issues GitHub professionnelles selon les standards du projet.

notlikeDevnotlikeDev
2.8k
7 octobre 2025
MIT License
// contenu du skill

TODOs to GitHub Issues

I'll scan your codebase for TODO comments and create professional GitHub issues following your project's standards.

First, let me analyze your complete project context:

Documentation Analysis:

  • Read README.md for project overview and conventions
  • Read CONTRIBUTING.md for contribution guidelines
  • Read CODEOFCONDUCT.md for community standards
  • Read .github/ISSUE_TEMPLATE/* for issue formats
  • Read .github/PULLREQUESTTEMPLATE.md for PR standards
  • Read docs/ folder for technical documentation

Project Context:

  • Repository type (fork, personal, organization)
  • Main language and framework conventions
  • Testing requirements and CI/CD setup
  • Branch strategy and release process
  • Team workflow and communication style

For Forks - Remote Analysis:

bash
# Get upstream repository info
git remote -v | grep upstream
# Fetch latest upstream guidelines
git fetch upstream main:upstream-main 2>/dev/null || true

I'll read upstream's CONTRIBUTING.md and issue templates to ensure compatibility.

Then verify GitHub setup:

bash
# Check if we're in a git repository with GitHub remote
if ! git remote -v | grep -q github.com; then
    echo "Error: No GitHub remote found"
    echo "This command requires a GitHub repository"
    exit 1
fi

# Check for gh CLI
if ! command -v gh &> /dev/null; then
    echo "Error: GitHub CLI (gh) not found"
    echo "Install from: https://cli.github.com"
    exit 1
fi

# Verify authentication
if ! gh auth status &>/dev/null; then
    echo "Error: Not authenticated with GitHub"
    echo "Run: gh auth login"
    exit 1
fi

Now I'll scan for TODO patterns and analyze their context:

Using native tools for comprehensive analysis:

  • Grep tool to find TODO/FIXME/HACK patterns
  • Read tool to understand code context
  • Glob tool to check project structure

MANDATORY Pre-Checks:

Before creating ANY GitHub issues, I MUST:

  1. Run build command - Must pass
  2. Run all tests - Must be green
  3. Run linter - No errors allowed
  4. Verify code compiles without warnings

If ANY check fails → I'll STOP and help fix it first!

I'll intelligently analyze each TODO:

  1. Understand the technical context and implementation
  2. Determine priority based on impact and location
  3. Group related TODOs for better organization
  4. Create professional issue titles and descriptions

For fork repositories:

  • Follow upstream contribution guidelines
  • Use their issue templates and conventions
  • Reference relevant upstream issues
  • Maintain compatibility with main project

For team/org repositories:

  • Apply company coding standards
  • Use established labels and milestones
  • Follow team workflow practices
  • Link to relevant documentation

Issue creation strategy:

  • Titles matching project's naming conventions
  • Descriptions following discovered templates
  • Labels from existing project taxonomy
  • Milestone alignment with project roadmap
  • Language style matching documentation tone

Smart Issue Type Detection:

I'll analyze each TODO to determine the correct issue type:

Bug Issues (bug label):

  • TODO/FIXME about errors, crashes, incorrect behavior
  • Keywords: fix, bug, broken, error, crash, wrong, incorrect
  • Will include: steps to reproduce, expected vs actual behavior

Feature Requests (enhancement label):

  • TODO about new functionality or improvements
  • Keywords: add, implement, create, new, feature, support
  • Will include: use case, benefits, implementation approach

Documentation (documentation label):

  • TODO about missing or outdated docs
  • Keywords: document, docs, README, explain, describe
  • Will include: what needs documenting, why it's important

Performance (performance label):

  • TODO about optimization, speed, memory
  • Keywords: optimize, slow, performance, cache, improve
  • Will include: current metrics, expected improvement

Security (security label):

  • TODO about vulnerabilities, validation, auth
  • Keywords: security, validate, sanitize, auth, permission
  • Will include: risk level, potential impact

Technical Debt (tech-debt label):

  • TODO about refactoring, cleanup, architecture
  • Keywords: refactor, cleanup, reorganize, technical debt
  • Will include: current issues, proposed solution

Chore/Maintenance (chore label):

  • TODO about updates, dependencies, tooling
  • Keywords: update, upgrade, migrate, deprecate
  • Will include: what needs updating, timeline

I'll also:

  • Group related TODOs into single issues when appropriate
  • Set priority based on keywords (CRITICAL, HIGH, TODO, NOTE)
  • Link to exact code location
  • Use project's existing labels if different

I'll handle rate limits and show you a summary of all created issues.

Important: I will NEVER:

  • Add "Created by Claude" or any AI attribution to issues
  • Include "Generated with Claude Code" in issue descriptions
  • Modify repository settings or permissions
  • Add any AI/assistant signatures or watermarks
  • Use emojis in issues,
// source originale publique
notlikeDev/CCPlugins
/commands/todos-to-issues.md
Licence : MIT License
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.
// installer ce skill
Collez cette commande dans votre terminal à la racine de votre projet :
mkdir -p .claude/commands && curl -o ".claude/commands/todos-to-issues.md" "https://raw.githubusercontent.com/notlikeDev/CCPlugins/main/commands/todos-to-issues.md"
Ensuite dans Claude Code, tapez /todos-to-issues pour l'activer.
open_in_newVoir la source originale
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// informations
CréateurnotlikeDev
Étoiles 2.8k
LicenceMIT License
Mis à jour7 octobre 2025
Format.md
AccèsGratuit
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