167 Claude Code skills tagged Openai. Browse all AI provider, model, or runtime-related skills in the open ClaudSkills registry — free to install, one-click via the desktop app.
Showing all 167 skills.
Generate, revise, translate, and manage App Store / Google Play marketing screenshots. Full flow: initialize a .shots workspace, scrape App Store metadata, research the product fro
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A multimodal precision oncology agent leveraging GPT-4 and vision transformers for cancer diagnosis, biomarker detection, and treatment planning.
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Transcribes audio and video files to text using Qwen3-ASR. Supports two modes — local MLX inference on macOS Apple Silicon (no API key, 15-27x realtime) and remote API via vLLM/Ope
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OpenAI Agents SDK (Python) development. Use when building AI agents, multi-agent handoffs, function tools, guardrails, sessions, streaming, or tracing with the `openai-agents` / `a
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Rigorous mathematical proof verification and fixing workflow. Reads a LaTeX proof, identifies gaps via cross-model review (Codex GPT-5.4 xhigh), fixes each gap with full derivation
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Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation. This is a separate experimental alternative to
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End-to-end AI website generation pipeline. Single Claude Code prompt builds complete Vite+React+Tailwind sites from business data. Pre-research via APIs, media acquisition, brand e
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Create your OpenAI Agents SDK skill in one prompt, then learn to improve it throughout the chapter
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Create your OpenAI Apps SDK skill in one prompt, then learn to improve it throughout the chapter
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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.
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Création d'assistants IA hébergés avec l'API OpenAI Assistants v2. File search avec vector stores, code interpreter, function calling, threads persistants et streaming. Se déclench
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Ollama, LM Studio, vLLM gibi yerel OpenAI uyumlu /v1 uçları için port, model ve tool desteği fallback’ini yapılandırırken kullan.
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Uzak OpenAI uyumlu API ile base_url, api_key, model ve proxy kullanımını yapılandırırken kullan.
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Configures TrueFoundry AI Gateway for unified OpenAI-compatible LLM access. Covers auth (PAT/VAT), model routing, rate limiting, and budget controls.
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Generate AI images using OpenAI's gpt-image-1 model with customizable aspect ratios and artistic themes. Use when the user wants to create images, generate artwork, or mentions ima
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Generate PNG images using AI (multiple models via OpenRouter including Gemini, FLUX.2, Riverflow, SeedDream, GPT-5 Image, GPT-5.4 Image 2, proxied through Cloudflare AI Gateway BYO
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Bulk-generates SEO meta descriptions from page content using OpenAI's GPT-4o API with custom system prompts tuned for SERP CTR optimization. Validates character limits, checks for
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Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: res
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5-model AI review: Claude Opus 4.6 + Gemini 3.1 + GPT-5.2 + Codex 5.3 + Perplexity — objectieve review van Bottie's autoresearch systeem
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Migrate to Claude API from OpenAI, Gemini, or other LLM providers. Use when switching from GPT-4 to Claude, migrating from Text Completions, or building a multi-provider abstractio
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Produces build artifacts with Software Bill of Materials (SBOM) and supply chain metadata for security and compliance. Use for "artifact publishing", "SBOM generation", "supply cha
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Submit complex code questions to OpenAI GPT-5 Pro for deep analysis when you have 20 minutes. Use when the user asks for architectural analysis, comprehensive code review, debuggin
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Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with \"auto review loop llm\" or \"llm revi
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Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants.
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Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinitio
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Azure OpenAI Service 2025 models including GPT-5, GPT-4.1, reasoning models, and Azure AI Foundry integration
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Azure OpenAI API patterns for rate limiting, function calling, error handling, and token optimization
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Azure OpenAI Service integration. Manage Models, Deployments, Prompts, Completions. Use when the user wants to interact with Azure OpenAI Service data.
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Use when building AI agents with OpenAI's Agents SDK. Triggers include creating agents, implementing tools, multi-agent handoffs, guardrails, MCP integration, tracing. Also for usi
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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 verifyin
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Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wir
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Send prompts to ChatGPT Pro via Playwriter browser automation. Use for cross-validation, second opinions, or leveraging GPT-5.2 Pro's research-grade intelligence.
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CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main contex
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Expert skill for integrating cloud AI APIs (Claude, GPT-4, Gemini). Covers secure API key management, prompt injection prevention, rate limiting, cost optimization, and protection
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Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.
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You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Cop
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Scans repository structure and generates comprehensive architecture documentation including system overview, entry points, module relationships, data flow diagrams, and "edit here
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OpenAI Codex CLI orchestration for AI-assisted development using gpt-5.2-codex model. Capabilities: code generation, refactoring, automated editing, parallel task execution, sessio
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Codex CLI (OpenAI gpt-5.4) に直接相談するスキル。設計判断・実装方針・コードレビュー・デバッグ方針など、別モデルの視点が欲しい時に使用する。「codexに相談」「codexに聞いて」「別の視点が欲しい」「セカンドオピニオン」「codexでレビュー」「codexとペアプロ」「codexとTDD」「codexでペアプログラミング」「ペア
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Spawn specialized OpenAI Codex CLI subagents for code review, debugging, architecture analysis, security audits, refactoring, and documentation via AGENTS.md persona injection (gpt
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Use when user asks to leverage codex, gpt-5, or gpt-5.1 to implement something (usually implement a plan or feature designed by Claude). Provides non-interactive automation mode fo
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Compare OpenAI Codex GPT-5.3 and code-searcher responses for comprehensive dual-AI code analysis. Use when you need multiple AI perspectives on code questions.
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Scores content using Flesch-Kincaid, Gunning Fog, and SMOG readability indices via textstat Python library. Provides sentence-level rewrite suggestions using OpenAI GPT-4o API.
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Multi-model AI council for actionable project advice. Leverages Gemini 3 Flash and GPT-5.2 skills in parallel, then synthesizes through an Opus Judge for stage-appropriate, non-ove
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Manages OpenAI DALL-E 3 API workflows for brand-consistent image generation with style references, aspect ratio control, and automated prompt refinement using GPT-4 Vision feedback
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Generates image variations and edits using the OpenAI Images API (DALL-E 3 and gpt-image-1). Manages prompt engineering for consistent style, handles mask-based inpainting, and out
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Detects data integrity issues including orphaned records, broken foreign key relationships, constraint violations, and provides automated fix migrations. Use for "data integrity",
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Defines database performance monitoring strategy with slow query detection, resource usage alerts, query execution thresholds, and automated alerting. Use for "database monitoring"
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Build, create, debug, review, implement, and optimize agentic AI applications using the OpenAI Agents SDK for TypeScript. Use when creating new agents, defining tools, implementing
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Research-driven critique and enhancement of Amelia architecture or ideas docs. Use with GPT-5.2 when given a design/architecture doc to analyze concepts, find sources, and propose
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Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabili
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Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports. Use for "LLM evaluation", "testing AI systems", "quality a
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Run python examples in auto mode with logging, rerun helpers, and background control.
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Внешнее ревью PR через Node.js native скрипт (Sprint Pipeline v3.6, Mode A). Две полноразмерные модели параллельно — gpt-5.4 (reasoning) + gpt-5.3-codex (code). Fallback режимы — C
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Perform a release-readiness review by locating the previous release tag from remote tags and auditing the diff (e.g., v1.2.3...<commit>) for breaking changes, regressions, improvem
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Perform a release-readiness review by locating the previous release tag from remote tags and auditing the diff (e.g., v1.2.3...<commit>) for breaking changes, regressions, improvem
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Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinitio
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Premium frontend design skills that override LLM defaults. Prevents generic 'AI-looking' UI. Enforces deterministic typography, calibrated color, asymmetric layouts, spring physics
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Coordinate multiple game-development skills and produce outcome-first briefs, plans, reviews, and validation flows. Use when Codex is asked to explore the game skillset, route a br
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Internal guidance for composing Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks inside the Codex Claude Code plugin
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Use when blocked, stuck, or needing fresh perspective. Consults GPT experts via Codex CLI with graceful fallback.
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Generate images with GPT Image 2 (ChatGPT Images 2.0) inside Claude Code, using your existing ChatGPT Plus or Pro subscription — no separate OpenAI access, no per-image billing. Su
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Helps users discover prompt and image examples from a public image-prompt library when they need prompt ideas, visual references, style examples, reusable image-generation prompts,
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Atua como um desenvolvedor backend sênior especialista em código limpo, arquitetura minimalista, legibilidade extrema, manutenção fácil e uso correto de linguagem, framework e banc
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Skill SERBA BISA level SUPERMAN untuk ChatGPT — aktivasi otomatis untuk SEMUA tugas berat, kompleks, kreatif, teknis, analitis, dan multi-domain. Gunakan skill ini SETIAP KALI peng
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Use when generating elite GSAP-heavy frontend pages with strict AIDA structure, wide hero typography, and gapless bento grids.
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Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps
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Gpt-trainer integration. Manage Users, Roles, Goals, Pipelines, Filters, Organizations. Use when the user wants to interact with Gpt-trainer data.
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Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conver
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Gera imagens via gpt-image-2 (OpenAI) através da FAL API. Setup conversacional do estilo a cada uso — tu fala como quer (livre, descrição em palavras, brand guide colado, ou um exe
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Single-image generation skill for posters, key art, and editorial illustrations. Defaults to gpt-image-2 but is provider-agnostic — the same workflow drives Flux, Imagen, or Midjou
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Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving mo
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Proxy OpenAI-compatible model traffic so operators can inspect prompts, detect risks, and enforce budget or policy controls.
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Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabili
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Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabili
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Kokoro-FastAPI is a Dockerized FastAPI wrapper around the Kokoro-82M text-to-speech model with OpenAI-compatible speech endpoints. It supports local TTS serving, multi-language syn
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Works correctly with LangChain 1.0's typed content blocks on AIMessage.content — text, tool_use, image, thinking, document — across Claude, GPT-4o, and Gemini, including multi-moda
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Invoke Claude, GPT-4o, and Gemini through LangChain 1.0 without tripping on the content-block, token-accounting, and structured-output quirks that silently break production code. U
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Manage LangChain 1.0 prompts like code — LangSmith prompt hub versioning, XML-tag conventions for Claude, few-shot example selection, discriminated-union extraction schemas, and A/
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Develop apps/openai-serve (Go). Keep OpenAI gateway behavior correct and avoid logging prompts/outputs.
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Repository orientation and which Codex skills to use for each area (go-lcpd, protocol spec, docs, openai-serve, ExecPlans).
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libllm - LLM API client for OpenAI-compatible endpoints. LlmApi class handles chat completions and embeddings via HTTP. Supports GitHub Models, Azure OpenAI, and standard OpenAI en
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libutil - General utilities. countTokens and estimateTokens for GPT-style token counting. generateHash creates SHA256 hashes. generateUuid creates unique IDs findProjectRoot locate
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LiteLLM is an open-source Python SDK and proxy server that provides a unified OpenAI-compatible interface to call 100+ LLM APIs including OpenAI, Anthropic, Azure, Bedrock, and mor
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llama.cpp is a high-performance C/C++ implementation for running LLM inference across diverse hardware. It supports GGUF model quantization, GPU acceleration on NVIDIA/AMD/Apple Si
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When setting up local LLM inference without cloud APIs. When running GGUF models locally. When needing OpenAI-compatible API from a local model. When building offline/air-gapped AI
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Comprehensive LLM model evaluation and ranking system. Use when users ask to compare language models, find the best model for a specific task, understand model capabilities, get pr
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Run local AI models with LocalAI. Deploy OpenAI-compatible API for LLMs, embeddings, audio, and images. Use for self-hosted AI, offline inference, and privacy-focused AI deployment
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Run local AI models with LocalAI. Deploy OpenAI-compatible API for LLMs, embeddings, audio, and images. Use for self-hosted AI, offline inference, and privacy-focused AI deployment
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MiniMax M-series production wiring patterns for the OpenAI-compatible API at api.minimax.io. Use when wiring MiniMax-M2.7 / MiniMax-M2.7-highspeed / Hailuo into a service (Karakeep
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Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding
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Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding
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Use NodeTool REST API, WebSocket protocol, Chat API (OpenAI-compatible), workflow execution endpoints, and streaming responses. Use when user asks about API endpoints, WebSocket pr
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Distills wiki source files into the RLM summary layer (summary.md, bullets.md, deep.md) using the cheapest available LLM CLI. Routes to Copilot gpt-5-mini first, then Claude Haiku,
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Ollama runs large language models locally with a simple CLI and REST API. It supports hundreds of open models including Llama, Gemma, Qwen, and DeepSeek, with GPU acceleration and
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Sets up local semantic memory search for OpenClaw using Ollama + nomic-embed-text. Use when: (1) memory_search returns 'node-llama-cpp is missing' or 'Local embeddings unavailable'
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Produce a world-class single-page editorial landing site in the Atelier Zero visual language (Monocle / Apartamento / Études editorial collage) — the same aesthetic Open Design use
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Wire HuggingFace embedding + reranker models (BGE-M3, BGE-Reranker-v2-m3, etc.) into Open WebUI's RAG pipeline via LiteLLM as a proxy in front of HuggingFace Text Embeddings Infere
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Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. It supports various LLM runners like Ollama and OpenAI-co
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A source-backed guide to the OpenAI Agents SDK for JavaScript and TypeScript. It covers agent orchestration, tools, handoffs, tracing, and the practical install path.
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The OpenAI Agents SDK is a lightweight Python framework for building multi-agent workflows. It supports 100+ LLMs, provides built-in guardrails, handoffs between agents, MCP tool i
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Expert guidance for OpenAI API development including GPT models, Assistants API, function calling, embeddings, and best practices for production applications.
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Création d'assistants IA hébergés avec l'API OpenAI Assistants v2. File search avec vector stores, code interpreter, function calling, threads persistants et streaming. Se déclench
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Automate OpenAI API operations -- generate responses with multimodal and structured output support, create embeddings, generate images, and list models via the Composio MCP integra
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Framework de OpenAI para construir interfaces de chat AI personalizables con React. Incluye componentes UI pre-construidos, streaming de respuestas, manejo de archivos y gestión de
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Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform
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Use when the agent is building or iterating on a web game (HTML/JS) and needs a reliable
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Use when the task involves reading, creating, or editing `.docx` documents, especially when
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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, Ap
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Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc
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Help address review/issue comments on the open GitHub PR for the current branch using gh
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Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions;
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Batch-generate images through the OpenAI Images API with a prompt sampler and gallery output.
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Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments,
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Compatibility alias for OpenAI platform documentation guidance. Delegate to the canonical local `openai-docs` payload while preserving route compatibility.
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OpenAI MCP Server is built around OpenAI API platform. The underlying ecosystem is represented by openai/openai-node (10,761+ GitHub stars). It gives an agent a more technical and
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Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks
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Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout
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Use when the task requires automating a real browser from the terminal (navigation, form
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Use when the user explicitly asks for a desktop or system screenshot (full screen, specific
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Perform language and framework specific security best-practice reviews and suggest improvements.
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Analyze git repositories to build a security ownership topology (people-to-file), compute
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Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities,
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Use when the user asks to inspect Sentry issues or events, summarize recent production errors,
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Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`,
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Receive and verify OpenAI webhooks. Use when setting up OpenAI webhook handlers for fine-tuning jobs, batch completions, or async events like fine_tuning.job.completed, batch.compl
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API-based speech-to-text transcription through OpenAI. No local model downloads, no GPU, no Python ML stack — just an API key and a shell script.
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Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request
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Run, watch, debug, and extend OpenClaw QA testing with qa-lab and qa-channel. Use when Codex needs to execute the repo-backed QA suite, inspect live QA artifacts, debug failing sce
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Migrate from OpenAI to OpenRouter with minimal code changes. Use when switching to OpenRouter or maintaining dual compatibility. Triggers: 'openrouter openai compatible', 'openrout
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You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Cop
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Install and configure Perplexity Sonar API authentication. Use when setting up a new Perplexity integration, configuring API keys, or initializing the OpenAI-compatible client for
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Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.4 review. Use when the user says \"refine
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Builds AI agents using OpenAI Agents SDK with async/await patterns and multi-agent orchestration. Use when creating tutoring agents, building agent handoffs, implementing tool-call
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Use Speaches when an agent stack expects OpenAI-style audio endpoints but you want a self-hosted speech backend for transcription, translation, and text-to-speech instead of a host
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World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-
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Use when serving LLMs at high throughput via vLLM (OpenAI-compatible API, quantization). Triggers: vllm, serve LLM, openai api endpoint, quantize.
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Generates channel summaries using Slack Bolt SDK with conversations.history and conversations.replies endpoints. Leverages OpenAI GPT-4 API for abstractive summarization and delive
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Together AI ci integration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together ci integration".
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Together AI common errors for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together common errors".
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Together AI core workflow a for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together core workflow a".
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Together AI core workflow b for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together core workflow b".
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Together AI cost tuning for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together cost tuning".
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Together AI debug bundle for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together debug bundle".
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Together AI deploy integration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together deploy integration".
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Install Together AI SDK and configure API key for inference and fine-tuning. Use when setting up Together AI, configuring the OpenAI-compatible API, or initializing the together Py
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Together AI local dev loop for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together local dev loop".
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Together AI performance tuning for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together performance tuning".
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Together AI prod checklist for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together prod checklist".
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Together AI rate limits for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together rate limits".
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Together AI reference architecture for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together reference archite
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Together AI sdk patterns for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together sdk patterns".
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Together AI security basics for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together security basics".
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Together AI upgrade migration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together upgrade migration".
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Together AI webhooks events for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together webhooks events".
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영어 ↔ 한국어 번역 스킬. 학술 논문, 기술 문서 번역 시 사용. Ollama gpt-oss:20b 모델 활용. 원문 아래 번역문 병렬 표시.
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Transcribe audio files to text via POST /audio/transcriptions. Covers supported models (Parakeet, Whisper, Wizper, Scribe, xAI STT), supported formats (wav/flac/m4a/aac/mp4/mp3/ogg
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Call POST /chat/completions on Venice. Covers the OpenAI-compatible request shape, Venice-only venice_parameters (web search, E2EE, characters, thinking control, X search), multimo
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Generate images with Venice. Covers POST /image/generate (Venice-native), POST /images/generations (OpenAI-compatible), GET /image/styles (style presets), request fields (prompt, d
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Use Venice's Alpha POST /responses endpoint - an OpenAI-compatible Responses API with typed output blocks (reasoning, message, function_call, web_search_call). Covers request shape
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Extract frames or the audio track from a local video file via ffmpeg. Pairs with openai-whisper for audio→text.
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Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving mo
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vLLM chat-template (prompt-side Jinja) operator reference. Template resolution precedence (`--chat-template` → AutoProcessor → tokenizer default → bundled fallback), `chat_template
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vLLM is a fast and memory-efficient inference and serving engine for large language models. It uses PagedAttention for efficient memory management, supports continuous batching, an
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Intelligent model routing for OpenClaw. Automatically selects between Gemini 3, GPT-5.3 Codex, and Claude 4.6 based on task complexity.
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INVOKE THIS SKILL when creating, running, or analyzing Arize experiments. Also use when the user wants to evaluate or measure model performance, compare models (including GPT-4, Cl
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小说封面生成。根据书名、作者名自动分析题材风格，调用 GPT-Image-2 直接生成含标题和署名的专业级网文封面。 触发方式：/story-cover、/封面、「帮我做个封面」「生成封面图」「做个小说封面」「封面设计」
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