Browse skills

Generates custom OpenAI functions and tools based on user prompts, streamlining complex AI workflows.

Generates creative, detailed, and contextually relevant text responses leveraging OpenAI's language models.

Helps with Word documents, OpenAI as part of building AI and machine learning applications workflows.

Helps with Excel/spreadsheets, OpenAI as part of building AI and machine learning applications workflows.

Helps with PDF, OpenAI as part of building AI and machine learning applications workflows.

Converts text to OpenAI GPT-compatible formats, optimizing content for improved model performance and integration.

Helps with image processing, OpenAI as part of building AI and machine learning applications workflows.

Helps with OpenAI, API as part of software development workflows workflows.

Provides OpenAI guidance and assistance for software development workflows.

Local speech-to-text using faster-whisper — 4-6x faster than OpenAI Whisper with identical accuracy. GPU acceleration, SRT/VTT/TTML subtitles, speaker diarization, and chapter detection.

Cost-optimizing model router for OpenClaw. Automatically routes each request to the cheapest capable Claude model (Haiku/Sonnet/Opus) using weighted scoring. Use when setting up smart model routing, reducing API costs, or configuring multi-tier LLM routing. Supports Anthropic models directly and OpenAI/Google models via OpenRouter.

Generate raster images (PNG/JPEG/WebP) using the user's ChatGPT subscription via a local one-file Python CLI — no OPENAI_API_KEY, no gateway, no daemon. Two backends: web (default) drives the user's logged-in ChatGPT browser so generation runs on the conversation surface and does NOT consume Codex-usage limits; codex is a headless fallback that bills the Codex-usage bucket. Use when an agent needs to create a brand-new bitmap asset for the current project (photos, illustrations, icons, hero banners, mockups, sprites, concept art) and the output should be a bitmap file saved into the workspace. Do not use when the task is better solved by editing existing SVG/vector assets, writing code-native graphics (HTML/CSS/canvas), or extending an established repo icon system.