Skill UI

AgentFlow transforms your existing Kanban board (Asana, GitHub, Linear) into a self-managing, autonomous AI development pipeline. It orchestrates multiple AI agents through defined stages (Backlog to Done), enforcing deterministic quality gates, performing adversarial reviews, and tracking costs—all visible within your existing project management UI. It provides crash-proof execution and full observability for complex software development lifecycles.

This tool automates complex GitHub repository operations, focusing on maintaining community health and project reliability. It manages issue classification, PR reviews, CI/CD debugging, release preparation, and security monitoring using the gh CLI. Use it when coordinating complex workflows, tracking stale issues, or diagnosing CI/CD failures.

This skill provides a rigorous, evidence-first workflow for direct repository terminal operations. It guides users through executing commands, checking Git status, debugging CI failures, or pushing narrow, verifiable fixes. It emphasizes strict state tracking, ensuring every action is verified and documented according to development best practices.

Guides disciplined git workflows for AI-assisted teams, covering branch strategies, commit hygiene, descriptive messages, and parallel workstreams to keep changes reviewable and reversible.

This skill guides the complete Go performance measurement workflow. Learn how to write robust benchmarks using `b.Loop()`, run detailed tests with flags like `-benchmem` and `-cpuprofile`, interpret memory and CPU profiles, statistically compare performance changes, and document optimization results in git commits. It ensures deep, data-driven performance analysis for Go applications.

Use the gh CLI to inspect PRs, issues, workflow runs, and logs while querying GitHub resources via the API or structured JSON filters.

This comprehensive guide provides detailed procedural steps for configuring and executing CodeQL code scanning. It covers both implementing automated workflows using GitHub Actions (`codeql.yml`) and running scans via the CodeQL CLI. Users will learn how to manage language matrices, set build modes, interpret SARIF outputs, handle monorepo structures, and troubleshoot complex security analysis setups across multiple languages (e.g., Python, Java, C++).

This workflow guides developers through generating standardized, descriptive commit messages using the Conventional Commits specification. It provides a structured XML template (including type, scope, description, body, and footer) and integrates directly into the Git workflow, ensuring project history is clean, traceable, and machine-readable. Ideal for maintaining large, collaborative codebases.

The comprehensive command-line interface (CLI) for interacting with all major features of GitHub. This tool allows developers to manage repositories, create and review pull requests, track issues, utilize Codespaces, and perform advanced organizational tasks—all directly from the terminal. It is essential for streamlining DevOps workflows and automating GitHub operations.

This tool analyzes your current git changes by examining the git status and git diff. It intelligently applies the Git Flow branching model to determine if the changes are for a new feature, a release preparation, or a critical hotfix. It then generates a semantically correct branch name and automatically switches to it, streamlining the development workflow and enforcing best practices.

This tool provides comprehensive automation for core GitLab operations, streamlining the entire development lifecycle. Users can manage projects, track issues, review merge requests, manage branches, and monitor CI/CD pipelines. It leverages a unified API interface to handle complex workflows, ensuring efficiency in version control and collaborative development environments.

A comprehensive guide detailing how to configure and manage GitHub's secret scanning feature. This skill covers enabling Secret Protection, setting up push protection to block leaked credentials before they reach the repository, defining custom regex patterns, and providing workflows for triaging alerts and resolving blocked pushes (including using git rebase or bypassing protections). Essential for maintaining secure code repositories and complying with security standards.