/workflow:dev

Automated development loop with issue creation, TDD, and CI monitoring.

When to Use This Skill

Context

• Current branch: !git branch --show-current
• Working tree: !git status --porcelain
• Project type: !find . -maxdepth 1 \( -name "package.json" -o -name "Cargo.toml" -o -name "pyproject.toml" -o -name "go.mod" -o -name "manage.py" \) -type f

Open issues are fetched during execution (requires a configured git remote).

Parameters

Parse from $ARGUMENTS:

• --max-cycles <n>: Limit to N issue resolution cycles (default: unlimited)
• --focus <bug|feature|test>: Only work on issues with matching label
• --quick-wins: Only pick issues estimated < 30 minutes
• --test-only: Only create issues for test failures; skip implementation
• --dry-run: Explain what would be done without making changes

Execution

Execute this automated development loop:

Step 1: Set up environment and assess state

1. Ensure on main branch and sync

git switch main
git pull

2. Run the project's test suite

• Detect project type (check for manage.py, package.json, Cargo.toml, etc.)
• Run appropriate test command:
  • Django: python manage.py test
  • Node.js: npm test
  • Rust: cargo test
  • Python: pytest or python -m pytest
  • Go: go test ./...

3. Create GitHub issues for any test failures

• For each failing test, use github:create_issue with:
  • Title: "Test failure: {test_name}"
  • Body: Include error output, stack trace, and failure context
  • Labels: ["bug", "test-failure"]

4. List current repository issues

• Use github:list_issues with state=open
• Filter out issues that are blocked or need external input

Step 2: Select issue to work on

Select issues using this priority order:

1. Critical bugs: Issues labeled priority: critical or bug + high priority
2. Test failures: Issues just created from failing tests (highest priority)
3. Quick wins: Issues labeled good first issue or estimated < 1 hour
4. High-impact features: Issues with most reactions/comments
5. Technical debt: Oldest issues labeled technical-debt or refactor

Selection criteria (must meet ALL):

• Has clear acceptance criteria in description
• Not labeled blocked or waiting-for-input
• Not already assigned to someone else
• Can reasonably be completed in a single PR

If no suitable issues found:

• Run dependency audit (npm audit, pip-audit, cargo audit)
• Create issues for security vulnerabilities
• Run linting tools and create issues for violations

Step 3: Implement solution

For the selected issue, repeat until CI passes:

5. Create feature branch

git switch -c fix/issue-{number}-{brief-description}

6. Gather implementation context

• Fetch current documentation for relevant libraries/frameworks before implementation — remembered API shapes and flags drift across versions. Use Context7 MCP when it is available; otherwise WebFetch the library's own docs or fall back to the project's pinned documentation.
• Use context7:resolve-library-id followed by context7:get-library-docs for any tools mentioned
• Read issue description and any linked documentation
• Review related issues and PRs for context
• Package managers (uv, npm, bun, etc.): fetch the current best-practice docs before suggesting commands (Context7 when available, otherwise the project's pinned docs or WebFetch) — remembered flag syntax drifts across major versions.

7. Implement solution using TDD

• RED: Write a failing test (if test doesn't already exist)
• GREEN: Write minimal code to make the test pass
• REFACTOR: Improve code quality while keeping tests green
• Follow language-specific best practices from Claude Code Guidelines

8. Commit changes

git add <files>
git commit -m "fix: resolve issue #{number} - {brief description}"

• Use conventional commit format
• Reference issue number in commit message

9. Push branch

git push origin fix/issue-{number}-{brief-description}

10. Create pull request

• Use github:create_pull_request with:
  • Title: "fix: resolve issue #{number} - {brief description}"
  • Body: "Fixes #{number}" plus description of changes
  • Include testing notes and any breaking changes

11. Monitor CI status

• Use GitHub MCP to check workflow status
• Wait for all checks to start and complete

12. Fix CI failures (if any)

• Use github:get_pull_request_status to check specific failures
• Analyze workflow logs to understand failures
• Implement fixes and push additional commits
• Repeat until all checks pass

Step 4: Complete and loop

13. Verify CI success

• Confirm all required checks are green
• Ensure no failing workflows remain

14. Close the issue

• Use github:update_issue to close with state closed
• Add comment referencing the closing PR

15. Return to Step 1

• Go back to environment setup
• Continue the loop for the next issue

For command variations, error-handling policies, report templates, loop-termination criteria, and integration requirements, see REFERENCE.md.