Search

PythonReactSEOPDF

mvillmow AI Skills

GitHub ↗

Browse published AI skills maintained by mvillmow. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

85

Repository stars across indexed skills

1,105

Repository forks

340

Average repository stars per indexed skill

13

Repository stars may repeat across skills from the same repository.

85 skills

Browse skills

GitHub

doc-update-blog

mvillmow

Update development blog with implementation milestones, learnings, and progress. Use after completing major milestones or phases.

GitHub

quality-coverage-report

mvillmow

Generate test coverage reports showing which code paths are tested. Use to identify untested code and improve test coverage.

GitHub

mojo-format

mvillmow

Format Mojo code using mojo format command. Use when preparing code for commit or when formatting checks fail.

GitHub

phase-cleanup

mvillmow

Refactor and finalize code after parallel phases complete, addressing technical debt. Use in cleanup phase to polish code before merge.

GitHub

gh-review-pr

mvillmow

Comprehensively review a pull request including code changes, CI status, and adherence to project standards. Use when asked to review a PR.

GitHub

mojo-memory-check

mvillmow

Verify memory safety in Mojo code including ownership, borrowing, and lifetime management. Use when reviewing code or debugging memory issues.

GitHub

validate-mojo-patterns

mvillmow

Validate Mojo code patterns (out self, mut, List, etc.) against best practices. Use to ensure code follows project standards.

GitHub

mojo-build-package

mvillmow

Build Mojo packages (.mojopkg files) for distribution. Use when creating distributable libraries or during packaging phase.

GitHub

gh-post-issue-update

mvillmow

Post structured updates to GitHub issues. Use to report progress, findings, and implementation notes directly to issues.

GitHub

quality-complexity-check

mvillmow

Analyze code complexity metrics including cyclomatic complexity and nesting depth. Use to identify code that needs refactoring.

GitHub

plan-create-component

mvillmow

DEPRECATED: The notes/plan/ directory has been removed. Planning is now done directly through GitHub issues. See gh-read-issue-context and gh-post-issue-update skills instead.

GitHub

build-run-local

mvillmow

Run local builds with proper environment setup. Use when building code locally to verify changes before pushing.

GitHub

doc-generate-adr

mvillmow

Generate Architecture Decision Records (ADRs) to document significant architectural decisions. Use when making important technical decisions that need documentation.

GitHub

plan-regenerate-issues

mvillmow

DEPRECATED: The notes/plan/ directory has been removed. Planning is now done directly through GitHub issues. See gh-read-issue-context and gh-post-issue-update skills instead.

GitHub

phase-plan-generate

mvillmow

Generate comprehensive plan documentation following Template 1 format. Use when creating plan.md files for new components or subsections.

GitHub

gh-check-ci-status

mvillmow

Check CI/CD status of a pull request including workflow runs and test results. Use when verifying if PR checks are passing or investigating CI failures.

GitHub

gh-fix-pr-feedback

mvillmow

Address PR review feedback by making changes and replying to comments. Use when a PR has open review comments needing responses.

GitHub

review-pr-changes

mvillmow

Review PR changes with structured checklist for quality and standards compliance. Use for comprehensive PR code review.

GitHub

agent-coverage-check

mvillmow

Check agent configuration coverage across hierarchy levels and phases. Use to ensure complete agent system coverage.

GitHub

quality-run-linters

mvillmow

Run all configured linters including mojo format, markdownlint, and pre-commit hooks. Use before committing code to ensure quality standards are met.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.