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Skills

Skills are small instruction files that teach coding agents how to use OpenRouter well: picking models, reading pricing, calling the image, speech, and video APIs, building agents, and reading your usage. Install them once and your agent applies them whenever the task matches. They are maintained in the open at github.com/OpenRouterTeam/skills.

Install every skill

gh skill install OpenRouterTeam/skills --all

17 skills

Building agents

  • create-agent-tuiScaffolds a complete agent TUI in TypeScript — like create-react-app for terminal agents. Customizable input styles, tool display modes, ASCII banners, loaders, session persistence, and 14 built-in toolsScaffolds a complete agent TUI in TypeScript using @openrouter/agent — like create-react-app for terminal agents. Generates a customizable terminal interface with three input styles, four tool display modes, ASCII banners, streaming output, session persistence, and configurable tools. Use when building an agent, creating a TUI, scaffolding an agent project, or building a coding assistant.
  • create-headless-agentScaffolds a headless agent in TypeScript + Bun — for CLI tools, API servers, queue workers, and pipelines. No terminal UI. 12 built-in tools, session persistence, output schema validation, and webhook notificationsScaffolds a headless agent in TypeScript using @openrouter/agent and Bun — for CLI tools, API servers, queue workers, and pipelines. No terminal UI. Use when building a headless agent, programmatic agent, CLI tool that uses AI, batch agent, pipeline agent, API agent, agent without a UI, or agent service.
  • openrouter-typescript-sdkComplete reference for integrating with 600+ AI models through the OpenRouter TypeScript SDK using the callModel patternComplete reference for integrating with 300+ AI models through the OpenRouter TypeScript SDK and Agent packages using the callModel pattern
  • openrouter-agent-migrationMigrating from @openrouter/sdk to the standalone @openrouter/agent package for callModel, tool(), stop conditions, and streaming helpersMigration guide from @openrouter/sdk to @openrouter/agent for callModel, tool(), stop conditions, and agent features. This skill should be used when code imports callModel, tool(), or stop conditions from @openrouter/sdk and needs to migrate to @openrouter/agent.

API and modalities

  • openrouter-modelsQuerying available models, comparing pricing, checking context lengths, finding provider performance, and fuzzy model name resolutionQuery OpenRouter for available AI models, pricing, capabilities, throughput, and provider performance. Use when the user asks about available OpenRouter models, model pricing, model context lengths, model capabilities, provider latency or uptime, throughput limits, supported parameters, wants to search/filter/compare models, or find the fastest provider for a model.
  • openrouter-benchmarksQuerying benchmark-backed model rankings from Artificial Analysis and Design Arena via GET /api/v1/benchmarksQuery OpenRouter's Benchmarks API for model benchmark rankings and scores. Use when the user asks for benchmark-backed model selection, model rankings by coding/intelligence/agentic ability, Artificial Analysis or Design Arena ELO/win-rate results, benchmark citations, or wants to call GET /api/v1/benchmarks. Also use alongside openrouter-models when the user asks what model should power an app, product, workflow, or use case and benchmark evidence could inform or rule out part of the recommendation, including creative writing, editing, coding, design, agentic, or intelligence-heavy apps. Do not use for OpenRouter usage analytics, billing/spend analysis, generation metadata, provider uptime/latency, generic model pricing/capability lookup without any selection or benchmark-relevance decision, or creating an evaluation suite for a local app.
  • openrouter-imagesGenerating images from text prompts and editing existing images via OpenRouter's dedicated Image API (POST /api/v1/images), with model and per-endpoint capability discoveryGenerate images from text prompts and edit existing images using OpenRouter's dedicated Image API. Use when the user asks to create, generate, or make an image, picture, or illustration from a description, or wants to edit, modify, transform, or alter an existing image with a text prompt.
  • openrouter-sttTranscribing speech to text via POST /api/v1/audio/transcriptions — model discovery, audio format selection, provider-specific options, and zero-dep TypeScript/Python examplesTranscribe speech to text using OpenRouter's speech-to-text API. Use when the user asks to transcribe audio, convert speech to text, extract a transcript from a recording or meeting, caption a video's audio, or mentions STT, speech-to-text, ASR, or transcription.
  • openrouter-ttsSynthesizing speech from text via POST /api/v1/audio/speech — model/voice discovery, format selection (mp3 vs pcm), provider-specific options, and OpenAI-SDK compatibilityGenerate speech audio from text using OpenRouter's text-to-speech API. Use when the user asks to synthesize speech, narrate text, create a voiceover, generate an audiobook clip, read text aloud, convert text to an audio file, or mentions TTS, text-to-speech, or voice synthesis.
  • openrouter-videoGenerating videos from text prompts (with optional frame or reference images) via OpenRouter's asynchronous video generation API — the submit → poll → download flowGenerate videos from text prompts (and optional reference or frame images) using OpenRouter's asynchronous video generation API. Use when the user asks to create, generate, or make a video or animation from a description, animate an existing image, or turn a prompt into a short video clip.
  • openrouter-oauthFramework-agnostic Sign In with OpenRouter — OAuth PKCE authentication using plain fetch, no SDK or dependencies required. Includes a copy-pasteable auth module and sign-in button componentImplement "Sign In with OpenRouter" using OAuth PKCE — framework-agnostic, no SDK or client registration required. Use when the user wants to add OpenRouter login, authentication, sign-in buttons, OAuth, or AI model inference API keys for browser-based apps. No client registration, no backend, no secrets required.

Analytics and usage

  • openrouter-analyticsAnswering natural-language questions about your OpenRouter usage data — spend, request volume, model breakdown, latency, token usage, and cost optimizationAnswer natural-language questions about a user's OpenRouter usage data — spend, request volume, model breakdown, latency, token usage, and cost optimization. Use when the user asks about their API usage, billing, costs, top models, traffic patterns, or wants to optimize their OpenRouter spend.
  • openrouter-analytics-schemaDiscovering the OpenRouter analytics schema — available metrics, dimensions, filter operators, and granularities, and mapping natural-language questions to query parametersDiscover the OpenRouter analytics schema — available metrics, dimensions, filter operators, and granularities. Use when you need to know what analytics data is queryable, what dimensions you can break down by, or how to map a user's question to the right metric/dimension combination.
  • openrouter-analytics-queryConstructing and executing analytics queries against the OpenRouter API — full parameter reference for metrics, dimensions, filters, time ranges, ordering, and paginationConstruct and execute analytics queries against the OpenRouter API — full parameter reference for metrics, dimensions, filters, time ranges, ordering, and pagination. Use when building or debugging an analytics query, understanding the request/response shape, or handling query errors.
  • openrouter-generationsInspecting individual OpenRouter generations — request metadata (cost, latency, tokens, model, provider routing) and stored prompt/completion contentRetrieve detailed metadata and stored content for individual OpenRouter generations. Use when the user wants to inspect a specific request — its cost, latency, token usage, provider routing, or the actual prompt/completion text — or is debugging a failed or unexpected generation.

Ori and evaluation

  • spawn-ori-evalDelegating model evals to Ori — spawning a headless Ori run so the eval is authored and graded on a pinned harness and model, then relaying the ranked resultsSpawn Ori as a subprocess to run a throwaway model eval on a pinned harness and model, then relay the results. Use when the user asks which model they should use, wants to compare models, wants to measure whether their agent or prompt does the right thing, wants to catch regressions in agent behavior, or asks how good their current model is. Applies to any codebase in any language. Do not use for plain unit tests that involve no model, and do not use to re-run an eval that already exists (run `ori eval <file>` directly).
  • install-ori-harnessInstalling Ori and running an existing coding agent through OpenRouter with OAuth, model selection, upgrades, and setup verificationInstall Ori and run the user's existing coding agent CLI through Ori on OpenRouter, with OAuth sign-in, model selection, upgrades, and install verification.