Agent Skills Hub

reviewing-code

Perform rigorous code reviews for FastMCP projects, focusing on API design, dependency management, and codebase consistency.

swarm

Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance for complex features, multi-step refactors, and long-running autonomous coding sessions.

session-init

Initializes a development session with environmental health checks, task status synchronization, and contextual memory restoration for Claude Code.

gh-local

Run GitHub Actions CI workflows locally using nektos/act in Docker. Test your CI configurations, debug workflow failures, and validate pipeline changes without pushing code to GitHub.

testing-anti-patterns

Enforce high-quality testing practices by identifying and preventing common anti-patterns like mock-testing, test-only production code, and incomplete dependency mocking.

Task Patterns

CLI-based Linear integration for AI-assisted task management, issue tracking, and automated development workflows.

trigger-dev-tasks

Expert assistant for designing and optimizing production-grade Trigger.dev background jobs, AI workflows, and resilient asynchronous task architectures in TypeScript.

quality-fixer

Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.

release-crate

Automates the end-to-end release process for R3BL workspace crates, including version bumping, changelog updates, testing, and publishing to crates.io.

commit-messages

Generate consistent, Conventional Commits-compliant messages directly from your staged git diffs.

code-quality-review

Holistic, multi-dimensional code review skill providing prioritized, actionable feedback on correctness, security, performance, design, and accessibility.

taskery

Generate comprehensive instructions for AI agents to operate the Taskery local Kanban board, including CLI, API, and concurrency management.