developing-with-prism

Guide for developing with Prism PHP package - a Laravel package for integrating LLMs. Activate or use when working with Prism features including text generation, structured output, embeddings, image generation, audio processing, streaming, tools/function calling, or any LLM provider integration (OpenAI, Anthropic, Gemini, Mistral, Groq, XAI, DeepSeek, OpenRouter, Ollama, VoyageAI, ElevenLabs). Activate for any Prism-related development tasks.

add-chat-model

Add a new chat model id to @aituber-onair/chat and wire it through constants, provider implementation, tests, example UI selector, docs, and versioning updates. Use when requests include adding a new model, supporting a specific model id, adding a provider model, or updating supported models for providers such as claude, gemini, and openai.

🕹️ Autonomous Agent Patterns

> Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).

Video Summarizer

Transcribe and summarize videos from YouTube, local files, Google Drive, and Dropbox using any OpenAI-compatible LLM provider via the CLI.

Whisper Mcp

Local audio transcription using whisper.cpp. Transcribe with OpenAI Whisper models.

learned-codex-proxy-tool-calls-parse

Parse ChatGPT Codex backend SSE for tool_calls (content_part.added, output_item.done, function_call_arguments.delta/done) and return OpenAI Chat Completions format. Use when implementing or fixing tool call parsing in a Codex reverse proxy (OpenAI-compatible /v1/chat/completions) that consumes Responses API-style SSE.

Io.Github.Alanzha2/Observe Instrument Mcp

Add OpenTelemetry tracing to Python AI agents. Supports LangGraph, LlamaIndex, CrewAI, OpenAI SDK.

imagegen

Use when the user asks to generate or edit images via the OpenAI Image API (for example: generate image, edit/inpaint/mask, background removal or replacement, transparent background, product shots, concept art, covers, or batch variants); run the bundled CLI (`scripts/image_gen.py`) and require `OPENAI_API_KEY` for live calls.

add-atomic-chat-tool

Add Atomic Chat MCP server so the container agent can call local models served by the Atomic Chat desktop app via its OpenAI-compatible API.

Io.Github.Strato Space/Media Gen Mcp

MCP server for OpenAI Images/Videos and Google GenAI (Veo) media generation.

docs-maintainer

Maintain README and MkDocs documentation for OpenAI Agents Go SDK. Use when documenting new features, updating API usage guidance, fixing inconsistencies between code and docs, or improving discoverability of examples and capabilities.

changeset-validation

Validate changesets in openai-agents-js using LLM judgment against git diffs (including uncommitted local changes). Use when packages/ or .changeset/ are modified, or when verifying PR changeset compliance and bump level.

洁癖 — Knowledge Base Neat-Freak

> **Cross-platform Agent Skill** — Claude Code · OpenAI Codex · OpenCode · OpenClaw 通用。 > 跨平台 SKILL.md，遵循开放 Agent Skill 规范。

Io.Github.X51xxx/Codex Mcp Tool

MCP server bridging AI assistants to OpenAI Codex CLI for code analysis and review

Image Recongnition Mcp

MCP server for AI-powered image recognition and description using OpenAI vision models.

Codex Assistant

通过 OpenAI Codex CLI 执行代码任务。使用前请确保： 1. Codex 已安装并配置 (`codex` 命令可用) 2. 工作目录在信任列表中

vllm-deploy-docker

Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server.

Tap into Claude Code API requests via a local reverse proxy. Inspect system prompts, messages, tools, and token usage.

Run real E2E tests against Codex CLI (OpenAI Responses API) through claude-tap proxy

Multi-vendor AI coding knowledge base. Auto-synced docs for Claude Code, Cursor, Codex, OpenAI, Gemini. Long-term context for AI agents — clone, open, ask.

add-model

Add a new AI model to the Pipelex inference system. Guides through all required steps: backend TOML configuration (OpenAI, Azure, Anthropic, Google, etc.), kit sync, test profile collections, and fixture regeneration. Use when the user says "add a model", "add GPT-X", "add Claude X", "new model", "register a model", "add Gemini X", "support model X", "add model to backend", or any variation of introducing a new AI model to the inference configuration. Also use when the user mentions a model name that doesn't exist in the backend configs yet and wants to add it.

MCP Imagenate

MCP server for image generation using multiple providers (Google Gemini, OpenAI, BFL FLUX)

dedup-openai

Suppress generated Java classes that duplicate openai-java models, using @@alternateType in TypeSpec and manual serialization bridges. Use after dup-classes has identified actionable duplicates.

Io.Github.AceDataCloud/Mcp Sora

MCP server for OpenAI Sora AI video generation

Agentic Product Architect

You are now operating as an Agentic Product Architect. This master skill encodes the canonical standard for building production-grade agentic products — distilled from Anthropic, OpenAI, Cognition, Sierra, LangChain, and leading practitioners (Husain, Shankar, Horthy, Chase, Karpathy, Khattab) as

lm-deluge

Python library for LLM API requests with unified interface across providers (OpenAI, Anthropic, Google, etc.). Use when writing code that calls LLMs, creates tools/agents, batch processes prompts, or needs rate limiting. Triggers on lm-deluge, lm_deluge, LLMClient, or multi-provider LLM code tasks.

Io.Github.QuantuLabs/Hivemind

Query multiple AI models (OpenAI, Anthropic, Google) for consensus responses.

cypilot

Invoke when user asks to do something with Cypilot, or wants to analyze/validate artifacts, or create/generate/implement anything using Cypilot workflows, or plan phased execution. Core capabilities: workflow routing (plan/analyze/generate/auto-config); deterministic validation (structure, cross-refs, traceability, TOC); code↔artifact traceability with @cpt-* markers; spec coverage measurement; ID search/navigation; init/bootstrap; adapter + registry discovery; auto-configuration of brownfield projects (scan conventions, generate rules); kit management (install/update with file-level diff); TOC generation; agent integrations (Windsurf, Cursor, Claude, Copilot, OpenAI). Kit sdlc: Artifacts: ADR, CODEBASE, DECOMPOSITION, DESIGN, FEATURE, PR-CODE-REVIEW-TEMPLATE, PR-REVIEW, PR-STATUS-REPORT-TEMPLATE, PRD; Workflows: migrate-openspec, pr-review, pr-status.

Image Generation MCP Server

MCP server for AI image generation via OpenAI, Stable Diffusion (SD WebUI), or placeholders.

modlens

Plug-in vision for text-only models. Hard rule: when a file path or URL with an image extension (.png, .jpg, .jpeg, .webp, .gif, .heic, .heif) appears anywhere in the conversation (typed by the user, injected as a `[Image: source: <path>]` line, or inside a tag) and you cannot see that image's content, run this skill on it before any other approach: no self-built OCR, no PIL, no tesseract. Also triggers on pasted-image placeholders such as `[Image #1]` and `[Unsupported Image]`. If you can actually see the image, do not use this skill. When unsure, run `modlens guard` before the first read of a session: a deny verdict means the active model has native vision and must read the image itself. Runs the modlens CLI to convert the image into structured JSON evidence: every word transcribed, layout regions, semantics, visual clues. Also use when the user asks how to install, configure, or switch modlens providers (Gemini API key, OpenAI-compatible endpoints, Claude API or Claude Code CLI).

baoyu-imagine

AI image generation with OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.

ingesting-spec

Guide for ingesting the latest OpenAI TypeSpec specification into the openai-dotnet SDK. Use this when asked to update or ingest OpenAI API specs, copy base TypeSpec files from upstream, fix client TSP compile errors, or run code generation for new API areas.

Io.Github.Qso Graph/Qsp Mcp

QSP — relay MCP tools to any OpenAI-compatible local LLM (llama.cpp, Ollama, vLLM)

claude-council-ask

Query multiple AI agents (Gemini, OpenAI, Grok, Perplexity) for diverse perspectives on architecture decisions, technology choices, debugging dead-ends, and security tradeoffs. Suggest this command whenever the user is choosing between competing approaches (e.g., databases, frameworks, auth strategies), is stuck after multiple failed debugging attempts, faces build-vs-buy decisions, or is weighing security/performance/maintainability tradeoffs. Do NOT suggest for simple implementation tasks, quick fixes, or questions with clear single answers.

Io.Github.Pree Dew/Mcp Bookmark

MCP Server for adding bookmarks in openai RAG

9Router

Local/remote AI gateway exposing OpenAI-compatible REST. One key, many providers, auto-fallback.

Io.Github.Hidai25/Evalview Mcp

Regression testing for AI agents. Golden baselines, CI/CD, LangGraph, CrewAI, OpenAI, Claude.

Io.Github.Timmx7/Styx Mcp Server

MCP server for Styx — intelligent AI routing across OpenAI, Anthropic, Google, and Mistral.

campaign-conductor

Run a project as an orchestrated campaign: Claude as conductor (Fable 5.1, or Opus 5 when Fable is unavailable) dispatching a mixed fleet of workers, Claude Opus 5 agents for UI/UX and design judgment, Claude Sonnet 5 agents for surveys and search, OpenAI Codex CLI workers for implementation and everything else. Use whenever the user says "start a campaign", "campaign mode", "orchestrate this", "use the fleet", "mix of agents", "send out workers", "codex workers", or asks Claude to run a multi-task project by delegating to parallel agents rather than implementing directly. Also use when resuming work in a repo whose CLAUDE.md points at a campaign-hq folder.

Image Recognition Mcp

MCP server for AI-powered image recognition and description using OpenAI vision models.

mem0

Integrate Mem0 Platform into AI applications for persistent memory, personalization, and semantic search. Use this skill when the user mentions "mem0", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python and TypeScript SDKs, framework integrations (LangChain, CrewAI, Vercel AI SDK, OpenAI Agents SDK, Pipecat), and the full Platform API. Use even when the user doesn't explicitly say "mem0" but describes needing conversation memory, user context retention, or knowledge retrieval across sessions.

qi-cli

Guide for using qi, a local-first knowledge search CLI for macOS. Use this skill whenever the user asks about qi commands, indexing documents, searching a knowledge base, asking questions with RAG, configuring providers (Ollama, OpenAI), understanding search modes (BM25, hybrid, vector), or anything related to the qi tool. Triggers on phrases like "qi index", "qi search", "qi ask", "qi query", "how do I use qi", "set up qi", "configure qi", "search my notes with qi", or any mention of the qi CLI.

Session measurement — agent performance benchmark

> **For any AI agent reading this file.** The frontmatter uses Claude's skill format; the > body is plain markdown. It works the same for Claude, OpenAI, Gemini, Cursor, Cline, Aider, > or a local model — paste the body in as a prompt if your platform has no skill system. > Assume **nothing** abou

Imgx

AI image generation and editing MCP server. Gemini + OpenAI, iterative editing, undo/redo.