Skill UI

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations like Claude Code and OpenAI Codex. Detects attack vectors where attacker-controlled input reaches AI agents in CI/CD pipelines through static analysis.

This Java SDK enables real-time bidirectional voice conversations with AI assistants using WebSocket technology. It supports authentication via API Key or DefaultAzureCredential, configuration for audio input/output (24kHz PCM), voice selection (OpenAI/Azure), and event handling for session management and function calling. Ideal for building voice-enabled applications.

Orchestrator skill that hands a bounded coding task to the OpenAI Codex CLI, then independently reviews the diff, re-runs project gates and lands the change itself.

This skill enables launching OpenAI's Codex CLI as an isolated subagent for bounded coding, review, or verification tasks. It runs non-interactively in a sandbox, streaming progress while keeping context separate. Ideal for parallel work, independent verification, and self-contained coding tasks with clear success criteria. Users must ensure authentication and handle file ownership explicitly.

Delegates coding and analysis tasks from Claude Code to OpenAI Codex CLI or Google Antigravity CLI, maintains topic-aware sessions, and critiques returned results.

This skill provides methods for reliably extracting typed, validated, and structured data from Large Language Models (LLMs), moving beyond simple text parsing. It covers best practices across major APIs (OpenAI's response_format, Anthropic's tool_use, Google's responseSchema) and local models. Key workflows include defining schemas (Pydantic/Zod), implementing constrained decoding, and building robust retry loops for production-grade data pipelines.

This blueprint guides the creation of F.R.I.D.A.Y., a tactical, low-latency voice assistant inspired by Iron Man. It utilizes the specialized Pipecat framework to orchestrate a comprehensive, real-time audio pipeline: STT (OpenAI Whisper/GPT-4o) -> LLM (Gemini) -> TTS (OpenAI Nova). Ideal for developers needing to build advanced, multi-provider, conversational voice applications.

Deploy and manage vLLM for high-throughput LLM inference. Configure continuous batching, tensor parallelism, quantization, and OpenAI-compatible API endpoints for production LLM serving.

This skill retrieves up-to-date documentation for third-party APIs, SDKs, and libraries using the chub tool. It ensures code accuracy by fetching current references instead of relying on outdated pre-trained knowledge. Use it when users request tasks involving external services like OpenAI or Stripe. Follow chub instructions to search, fetch, and annotate documentation for better future sessions.