Skill UI

This skill manages Git worktrees, enabling safe, parallel development across multiple feature branches simultaneously. It ensures complete branch isolation by automatically allocating non-conflicting ports, synchronizing local environments, and providing robust cleanup mechanisms optimized for multi-agent or complex CI/CD workflows. Essential for teams needing dedicated, isolated development environments.

A powerful tool designed to scaffold and generate production-ready MCP servers directly from OpenAPI specifications. It treats OpenAPI as the single source of truth, automatically converting API paths and operations into standardized tool definitions. Supports both Python and TypeScript implementations, ensuring schema consistency, robust validation, and safe versioning for exposing internal APIs to LLM agents and other services.

AgentMail provides a comprehensive REST API email infrastructure specifically designed for AI agents. Agents can provision dedicated inboxes, send and receive emails, handle external service verifications (e.g., GitHub signups), and manage real-time inbound webhooks. The system includes a 'karma' mechanism to ensure high domain reputation and prevent abuse, making it reliable for complex automation workflows.

Documents how to build autonomous Claude Code loops, covering sequential pipelines, NanoClaw REPL, infinite multi-agent deployments, RFC-based DAG orchestration, and PR-driven CI cycles so teams can run persistent, quality-gated development workflows without babysitting.

Dispatching parallel agents lets you split independent investigations into focused prompts, coordinate isolated fixes concurrently, and review summaries for integration once each agent finishes.

Guides an agent to critically review a written implementation plan, execute every outlined step with required verifications, and hand off completion via finishing-a-development-branch procedures, ensuring blockers prompt clarification.

Explains when to call the code-reviewer subagent, how to collect SHAs, fill the template, and act on its feedback so every task, feature, or merge meets quality expectations.

Skill Security Auditor scans AI agent skills before installation, flagging command injections, prompt tampering, dependency risks, and filesystem abuses while providing verdicts and remediation guidance for CLIP plugins or Codex skills.

Guides authors through adapting test-driven development to agent skills documentation, covering when to create skills, required background, directory structure, and how to run pressure scenarios to ensure compliance before publishing.

Designs and optimizes AI agent execution by defining action spaces, tools, observation formats, recovery contracts, and context-budget strategies to boost completion rates and reliability.

A comprehensive protocol defining communication rules and orchestration patterns for multi-agent C-suite teams. It structures complex cross-functional analyses, simulates board meetings, and enforces hard rules—such as depth limits and loop prevention—to ensure consistent, verifiable, and non-circular business insights.

Performs static security analysis on GitHub Actions workflows that incorporate AI coding agents (e.g., Claude, Gemini, OpenAI). This skill helps identify critical data flow vulnerabilities, such as where attacker-controlled input can reach AI agent prompts or internal systems via CI/CD pipelines, going beyond simple expression checks.