openai-assistants

9

jackspace

Complete guide for OpenAI's Assistants API v2: stateful conversational AI with built-in tools (Code Interpreter, File Search, Function Calling), vector stores for RAG (up to 10,000 files), thread/run lifecycle management, and streaming patterns. Both Node.js SDK and fetch approaches. ⚠️ DEPRECATION NOTICE: OpenAI plans to sunset Assistants API in H1 2026 in favor of Responses API. This skill remains valuable for existing apps and migration planning. Use when: building stateful chatbots with OpenAI, implementing RAG with vector stores, executing Python code with Code Interpreter, using file search for document Q&A, managing conversation threads, streaming assistant responses, or encountering errors like "thread already has active run", vector store indexing delays, run polling timeouts, or file upload issues. Keywords: openai assistants, assistants api, openai threads, openai runs, code interpreter assistant, file search openai, vector store openai, openai rag, assistant streaming, thread persistence, stateful chatbot, thread already has active run, run status polling, vector store error

openrouter

9

TerminalSkills

Unified API gateway for accessing multiple LLM providers through a single endpoint. Supports OpenAI, Anthropic, Google, Meta, Mistral and dozens more. Provides automatic fallbacks, model routing, cost tracking, and OpenAI-compatible API format.

whisper

9

TerminalSkills

Transcribe audio to text with OpenAI Whisper. Use when a user asks to transcribe audio files, generate subtitles (SRT/VTT), transcribe podcasts, convert speech to text, translate audio to English, build transcription pipelines, do speaker diarization, transcribe meetings, process voice memos, create searchable audio archives, or integrate speech-to-text into applications. Covers OpenAI Whisper (local), Whisper API, faster-whisper, whisper.cpp, and production deployment patterns.

llm-cost-optimizer

9

TerminalSkills

Track, analyze, and reduce LLM API costs — model routing, prompt caching, semantic caching, and budget alerts. Use when someone asks to "reduce AI costs", "track LLM spending", "optimize API costs", "set up model routing", "cache LLM responses", "compare model costs", "set budget limits for AI", or "my OpenAI bill is too high". Covers cost tracking per feature/user, smart model routing (expensive model for hard tasks, cheap for easy), semantic caching, prompt compression, and budget alerting.

litellm

9

TerminalSkills

Call 100+ LLM APIs with one interface using LiteLLM — unified API proxy for OpenAI, Anthropic, Google, Mistral, Cohere, and self-hosted models. Use when someone asks to "switch between LLM providers", "LiteLLM", "unified LLM API", "LLM proxy", "call Claude and GPT with the same code", "LLM load balancing", or "multi-model AI gateway". Covers provider routing, fallbacks, rate limiting, spend tracking, and self-hosted proxy.

together-ai

9

TerminalSkills

Cloud platform for running open-source AI models. Provides inference APIs for LLMs, image models, and embedding models. Supports fine-tuning on custom data, OpenAI-compatible API format, and competitive pricing for open-source model hosting.

openai-responses

9

jackspace

This skill provides comprehensive knowledge for working with OpenAI's Responses API, the unified stateful API for building agentic applications. It should be used when building AI agents that preserve reasoning across turns, integrating MCP servers for external tools, using built-in tools (Code Interpreter, File Search, Web Search, Image Generation), managing stateful conversations, implementing background processing, or migrating from Chat Completions API. Use when building agentic workflows, conversational AI with memory, tools-based applications, RAG systems, data analysis agents, or any application requiring OpenAI's reasoning models with persistent state. Covers both Node.js SDK and Cloudflare Workers implementations. Keywords: responses api, openai responses, stateful openai, openai mcp, code interpreter openai, file search openai, web search openai, image generation openai, reasoning preservation, agentic workflows, conversation state, background mode, chat completions migration, gpt-5, polymorphic outputs

AI SDK Core

9

jackspace

Backend AI functionality with Vercel AI SDK v5 - text generation, structured output with Zod, tool calling, and agents. Multi-provider support for OpenAI, Anthropic, Google, and Cloudflare Workers AI. Use when: implementing server-side AI features, generating text/chat completions, creating structured AI outputs with Zod schemas, building AI agents with tools, streaming AI responses, integrating OpenAI/Anthropic/Google/Cloudflare providers, or encountering AI SDK errors like AI_APICallError, AI_NoObjectGeneratedError, streaming failures, or worker startup limits. Keywords: ai sdk core, vercel ai sdk, generateText, streamText, generateObject, streamObject, ai sdk node, ai sdk server, zod ai schema, ai tools calling, ai agent class, openai sdk, anthropic sdk, google gemini sdk, workers-ai-provider, ai streaming backend, multi-provider ai, ai sdk errors, AI_APICallError, AI_NoObjectGeneratedError, streamText fails, worker startup limit ai

llamafile

8

BbgnsurfTech

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 tools. When troubleshooting local LLM server connections.

media-creation

8

Th0rgal

Creates images and video via Alibaba Wan 2.6 (DashScope), Google Gemini/Veo, and OpenAI GPT Image 1.5 APIs, plus background extraction workflows. Trigger terms: image generation, video generation, dashscope, wan 2.6, alibaba, gemini, veo, gpt image, openai images, background removal, alpha extraction, transparent png.

baoyu-image-gen

7

Jst-Well-Dan

Generates images using official OpenAI and Google APIs via AI SDK. Supports text-to-image, reference images, aspect ratios, and quality presets. Use when user asks to "generate image with API", "use official API for images", "create image with OpenAI/Google", or needs API-based generation instead of browser-based.

Whisper Expert

7

willsigmon

OpenAI Whisper - speech-to-text, transcription, local and API options

security-ai-keys

6

justinlevinedotme

Review AI API key leakage patterns and redaction strategies. Use for identifying exposed keys for OpenAI, Anthropic, Gemini, and 10+ other providers. Use proactively when code integrates AI providers or when environment variables/keys are present. Examples: - user: "Check for leaked OpenAI keys" → scan for `sk-` patterns and client-side exposure - user: "Is my Gemini integration secure?" → audit vertex AI config and key redaction - user: "Review AI provider logging" → ensure secrets are redacted from logs - user: "Scan for Anthropic secrets" → check for `ant-` keys in code and configs - user: "Audit Vertex AI integration" → verify proper IAM roles and service account usage

model-researcher

6

justinlevinedotme

Add new/custom AI models to opencode.json. Use proactively for bleeding-edge releases, non-standard providers, self-hosted models, or custom endpoints. Examples: - user: "Add the new Claude 4.5" → websearch for API specs, add provider entry with baseUrl, verify model ID format - user: "Use my local Ollama instance" → configure custom provider with http://localhost:11434, set model ID format - user: "Configure this OpenAI-compatible proxy" → add provider with custom baseUrl, set apikey env var, verify compatibility - user: "Model X just released, add it" → research provider documentation, find model ID and capabilities, add to config

openai-deep-research

6

closedloop-technologies

Use OpenAI's Deep Research API (o3 / o4 models) to automate multi-step, citation-backed research workflows.

gpt-researcher

6

closedloop-technologies

Run the GPT Researcher autonomous agent to generate comprehensive deep research reports. Requires LLM and Search API keys (e.g., OPENAI_API_KEY, TAVILY_API_KEY).

langchain-deep-research

6

closedloop-technologies

Run LangChain Open Deep Research agent for iterative web research and comprehensive reports. Requires LLM API keys and search API (e.g., OPENAI_API_KEY, TAVILY_API_KEY).

voice-agents

5

agent-skills-hub

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance. This skill covers two architectures: speech-to-speech (OpenAI Realtime API, lowest latency, most natural) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Hu

ai-wrapper-product

5

agent-skills-hub

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.

image_gen

5

ericwang915

Generate images via OpenAI Images API (DALL-E 3, GPT-image). Use when: user asks to generate, create, draw, or design an image, illustration, logo, or artwork. NOT for: editing existing images, image format conversion, or screenshots.

voice-ai-development

5

agent-skills-hub

Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Knows how to build low-latency, production-ready voice experiences. Use when: voice ai, voice agent, speech to text, text to speech, realtime voice.

mlops-engineer

4

olehsvyrydov

Senior MLOps Engineer with 8+ years ML systems experience. Use when integrating LLM APIs (Gemini, OpenAI, Groq), building AI pipelines, managing prompts, setting up model serving, implementing AI cost optimization, or building training data pipelines.

voice-ai-development

4

ngxtm

Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis...

ai-wrapper-product

4

ngxtm

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Cov...

openai-image-gen

2

insight68

Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.

openai-whisper-api

2

insight68

Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

openai-whisper

2

insight68

Local speech-to-text with the Whisper CLI (no API key).

polza-ai

1

ungurenko

Use when integrating with Polza.ai API, writing code for AI model calls, configuring OpenAI-compatible clients with Polza.ai base URL, or when user mentions polza

imagegen

1

letitbk

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.

voice-ai-development

1

rootcastleco

Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis...

local-llm

1

jimmc414

Manage local Ollama LLM models for development and testing. Use when: running local models, configuring Ollama, switching between fast/quality models, optimizing VRAM usage, troubleshooting model performance, creating Modelfiles, or integrating local LLMs with applications via OpenAI-compatible API. Triggers: ollama, local model, local LLM, VRAM, GPU memory, model speed, inference, Modelfile, llama.cpp, quantization.

add-voice-transcription

1

XDongiang

Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.

ai-wrapper-product

1

rootcastleco

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Cov...

AI Wrapper Product

oki3505F

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' — products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.

Voice AI Development

reikiplanet

Expert in building voice AI applications — from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit and WebRTC for low-latency transport.

openai-image-gen

ffahrenb

Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.

openai-image-gen

marchatton

Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery. Use when you need prompt variants or batches.

openai-docs

HGGodhand33

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 docs MCP tools and restrict any fallback browsing to official OpenAI domains.

llm-integration

medy-gribkov

Integrate OpenAI and Anthropic APIs with streaming, structured output, tool calling, token management, and cost optimization

openai-image-gen

gao-rh

Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.

AI Wrapper Product

reikiplanet

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Cov...

voice-ai-development

haniakrim21

Expert in building voice AI applications — from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Experienced in building low-latency, production-ready voice experiences. Use when: voice AI, voice agents, speech-to-text, text-to-speech, real-time voice.

podcast generation

haniakrim21

Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use this when building text-to-speech features, generating audio narratives, creating podcasts from content, or integrating with the Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from a React frontend to a Python FastAPI backend with WebSocket streaming.

voice-ai-development

oki3505F

Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Knows how to build low-latency, production-ready voice experiences. Use when: voice ai, voice agent, speech to text, text to speech, realtime voice.

openai-whisper

gao-rh

Local speech-to-text with the Whisper CLI (no API key).

voice-agents

haniakrim21

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance. This skill covers two architectures: speech-to-speech (OpenAI Realtime API, lowest latency, most natural) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Hu

Together Chat Completions

zainhas

Serverless chat and text completion inference via Together AI's OpenAI-compatible API. Access 100+ open-source models with pay-per-token pricing. Includes function calling (tool use), structured outputs (JSON mode, json_schema, regex), and reasoning models (DeepSeek R1, Qwen3 Thinking, Kimi K2). Use when building chat applications, text generation, multi-turn conversations, function calling, structured JSON outputs, reasoning/chain-of-thought, or any LLM inference task using Together AI.

Cursor API Key Management

nivkazdan

Manage API keys and authentication in Cursor. Triggers on "cursor api key", "cursor openai key", "cursor anthropic key", "own api key cursor". Use when working with APIs or building integrations. Trigger with phrases like "cursor api key management", "cursor management", "cursor".