Explore our collection of Agent Skills to enhance your AI workflow.
Implements production-ready code using rigorous TDD/ATDD principles and the Red-Green-Refactor cycle.
Orchestrates a comprehensive Test-Driven Development (TDD) and Acceptance Test-Driven Development (ATDD) workflow using the Red-Green-Refactor cycle.
Generates comprehensive CLAUDE.md context files by scanning project entry points to ensure AI-driven code reproducibility.
Analyzes natural language requirements to generate standardized CLAUDE.md and IMPLEMENTS.md specification files before code implementation.
Validates CLAUDE.md documentation against source code to detect drift and automatically fix inconsistencies.
Orchestrates and manages autonomous coding agents like Codex, Claude Code, and Pi via programmatic terminal control.
Standardizes the design, structuring, and packaging of specialized AI skills using modular workflows and context-efficient patterns.
Manages and automates interactive terminal sessions by sending keystrokes and capturing pane output for persistent AI workflows.
Analyzes project directory structures to strategically identify optimal locations for CLAUDE.md context files.
Reviews implementation documentation and requirements coverage to ensure high-quality project specifications and planning.
Manages GitHub issues, pull requests, and CI/CD workflows directly through the GitHub CLI.
Decomposes complex coding tasks and coordinates specialized agents through a rigorous delegation and verification protocol.
Integrates Google Workspace management into the terminal for streamlined access to Gmail, Calendar, Drive, Sheets, and Docs.
Transforms markdown specifications into production-ready source code using a specialized 2-agent TDD workflow.
Automates the creation of end-to-end test artifacts for OpenShift operators through dynamic repository analysis and git diff tracking.
Automates the creation of isolated Git worktrees and feature branches to enable parallel development without branch switching.
Transforms Jira RFEs into actionable Epics and User Stories backed by historical PR analysis and architectural context.
Models user journeys, retention loops, and process states using clear ASCII diagrams and transition rules.
Streamlines the migration of Terraform provider resources and data sources from SDK v2 to the modern Plugin Framework.
Automates the generation of logical, conventional git commits by analyzing changes and splitting them into meaningful units of work.
Generates layered ASCII architecture diagrams for system design, pull requests, and architectural decision records directly within the terminal.
Generates portable, cross-platform ASCII command panels for summarizing CLI workflows and technical references.
Automatically detects and configures project build, test, and lint commands to streamline your development workflow.
Standardizes retrospective documentation using ASCII grids, timelines, and heatmaps to improve team communication and project transparency.
Ensures CLAUDE.md documentation stays synchronized with your codebase through automated drift detection and domain reproducibility testing.
Conducts expert-level pull request reviews for TypeScript, Node.js, and React applications to ensure type safety and code quality.
Applies modern React design patterns and architectural best practices to improve code quality, performance, and maintainability.
Generates standardized ASCII flowcharts and timelines to communicate complex processes and project lifecycles within terminals and pull requests.
Drafts authentic, research-backed customer and teammate responses using a specific, non-corporate persona and Slack-optimized formatting.
Implements React Router 7 framework mode best practices for type-safe data loading, server-first architecture, and robust SSR applications.
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