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Found 347 Skills
Generate AGENTS.md file and docs/ knowledge base skeleton in the project root directory, and establish a document governance system for agent-first repositories. Manually triggered, writes the template after checking for existence.
Summarize Codex token usage from local Codex Desktop or CLI session JSONL logs. Use when the user asks to count, audit, total, compare, or report Codex/OpenAI token usage for a period such as today, this week, last month, a calendar month, a rolling 30-day window, peak week, peak day, input/output/cached/reasoning breakdown, or net token usage.
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
Generate OpenAPI documentation from source code. Analyzes repository to automatically discover API endpoints and create swagger.json and interactive HTML documentation. Use when generating API docs, creating OpenAPI specs, documenting REST APIs, or analyzing API endpoints.
This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.
Bridge any AI agent backend to WeChat using the weixin-agent-sdk framework with simple Agent interface, login, and message loop.
Guide for using Netlify AI Gateway to access AI models. Use when adding AI capabilities or selecting/changing AI models. Must be read before choosing a model. Covers supported providers (OpenAI, Anthropic, Google), SDK setup, environment variables, and the list of available models.
Create and edit .pptx presentation decks with PptxGenJS. Useful for sales decks, kickoff briefs, and design-system showcases.
Automated AI content pipeline from research to video generation using Claude/OpenAI and Remotion
Use when new translation keys are added to packages to generate new translations strings
Use when managing AI Hub account, API keys, balance, usage, or API endpoints. Use when user says "AI Hub", "add AI credits", "create API key", "check AI usage", "auto-recharge", "AI Hub endpoint", "AI Hub base URL", "how to use AI Hub API", "LLM API", "AI API", "OpenAI compatible", "Anthropic API", "GPT", "Claude", "Gemini", "DeepSeek", or "Grok" in the context of Zeabur.
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable evaluation on local Docker, Slurm HPC, or cloud platforms. NVIDIA's enterprise-grade platform with container-first architecture for reproducible benchmarking.