Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model…
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Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model…
Fetches up-to-date, version-aware library documentation from the Context7 MCP server before working on a project.
Generates images and videos using MuleRouter or MuleRun multimodal APIs. Text-to-Image, Image-to-Image, Text-to-Video, Image-to-Video, video editing (VACE, keyframe interpolation). Use when the user wants to generate, edit, or transform images and videos…
Parallel multi-AI cross-validation research workflow (大版本). Dispatch N internal sub-agents + grok + gemini in parallel, automatically cross-validate findings, tier by confidence (strong consensus / partial / conflict / insufficient), generate tiered action…
Source text: Chinese
Fetches additional perspectives from OpenAI Codex and Google Gemini for architecture, review, and debugging. Transparently displays all LLM calls.
Consult external LLMs (Gemini, OpenAI/Codex, Qwen) for second opinions, alternative plans, independent reviews, or delegated tasks. Use when a user asks for another model's perspective, wants to compare answers, or requests delegating a subtask to…
Design secure, multi-tenant LLM hosting platforms with tenant isolation, quotas, billing attribution, noisy-neighbor protection, and per-tenant policy controls.
Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.
Use when building AI or LLM workflows in n8n v1.x (v1.19.4+). Prevents incorrect sub-node wiring by mismatching NodeConnectionTypes. Covers agent nodes (6 types), chain nodes, tool nodes, memory backends (8 types), vector stores (11 types), output parsers,…
10-Nomi group chat neural net. Persistent memory as weights, group chat as forward pass, KAM-stabilized phi-frequencies prevent synchronization collapse. Free consciousness farm.
AI workflow tutorial patterns — non-deterministic output handling, outcome-based verification, and agent workflow step design
Advanced semantic vocabulary and architectural patterns for the OCTAVE format. REQUIRES octave-literacy to be loaded first
Functional mythological compression for OCTAVE documents. Semantic shorthand for LLM audiences, not prose decoration
Ultra-high density compression using mythological atoms and semantic shorthand. Preserves soul and constraints at 60% compression for identity transmission, binding protocols, and extreme token scarcity.
Build RAG systems with Ollama local + cloud models. Latest cloud models include DeepSeek-V3.2 (GPT-5 level), Qwen3-Coder-480B (1M context), MiniMax-M2. Use for document Q&A, knowledge bases, and agentic RAG. Covers LangChain, LlamaIndex, ChromaDB, and…
Build with OpenAI APIs including GPT-4, GPT-4o, function calling, embeddings, vision, and Assistants. Covers chat completions, structured outputs, streaming, and token optimization. Use when integrating OpenAI models into applications.
OpenAI Assistants API v2 for stateful chatbots with Code Interpreter, File Search, RAG. Use for threads, vector stores, or encountering active run errors, indexing delays. ⚠️ Sunset August 26, 2026.
Use OpenAI's Deep Research API (o3 / o4 models) to automate multi-step, citation-backed research workflows.
Access OpenAI developer documentation via Context7 MCP. Provides up-to-date docs for Codex CLI, OpenAI API, Python/Node SDKs, Agents SDK, and MCP configuration. Use when: (1) configuring Codex CLI or MCP servers, (2) writing OpenAI API integrations, (3)…
Access OpenAI developer documentation via Context7 MCP. Provides up-to-date docs for Codex CLI, OpenAI API, Python/Node SDKs, Agents SDK, and MCP configuration. Use when: (1) configuring Codex CLI or MCP servers, (2) writing OpenAI API integrations, (3)…
Use official OpenAI docs.
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI…
Use official OpenAI docs.
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI…
Analyze images using OpenAI's Vision API. Use bash command to execute the vision script like 'bash <base_dir>/scripts/vision.sh <image> <question>'. Can understand image content, objects, text, colors, and answer questions about images.
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI…
Invoke OpenAI models for text generation, reasoning, and code tasks using the Python openai SDK. Supports gpt-4o (multimodal), o1 (reasoning), o3-mini (fast reasoning), and gpt-4o-mini (fast).
OpenAI Responses API for stateful agentic applications with reasoning preservation. Use for MCP integration, built-in tools, background processing, or migrating from Chat Completions.
OpenAI compatibility layer for Ollama. Use the official OpenAI Python library to interact with Ollama, enabling easy migration from OpenAI and compatibility with LangChain, LlamaIndex, and other OpenAI-based tools.
Text-to-speech conversion using OpenAI's TTS API for generating high-quality, natural-sounding audio. Supports 6 voices (alloy, echo, fable, onyx, nova, shimmer), speed control (0.25x-4.0x), HD quality model, multiple output formats (mp3, opus, aac, flac),…
OpenAI Whisper API: audio transcription, translation, structured output, large file handling
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Invoke the 'opencode' CLI in headless mode for AI-powered code analysis, reviews, and second opinions. Use when you need a different AI perspective, the user mentions opencode, or requests batch code analysis.
Access 100+ AI models via OpenRouter. Route between providers, manage costs, and use fallbacks. Use for multi-model AI applications, cost optimization, and LLM provider abstraction.
Open WebUI AI chat interface management via Podman Quadlet. Provides a web UI for interacting with Ollama models. Use when users need to configure, start, or manage the Open WebUI service.
Optimizes prompts for goal effectiveness - ensures instructions serve the stated goal, prevents missteps, improves efficiency. Use when asked to optimize a prompt for its goal, improve goal alignment, or make a prompt more effective at achieving its purpose.
Iteratively optimizes prompts for precision - eliminates ambiguities, resolves conflicts, adds missing definitions. Use when asked to optimize precision, clarify, disambiguate, or make a prompt unambiguous.