Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Execute generates conventional commit messages using AI. It analyzes code changes and suggests a commit message adhering to the conventional commits specification. Use this skill when you need help writing clear, standardized commit messages, especially a... Use when managing version control. Trigger with phrases like 'commit', 'branch', or 'git'.
Configure Glean local development with mock search responses, test datasources, and connector development workflow. Trigger: "glean dev setup", "glean local development", "glean connector development".
Install and configure Groq SDK authentication for TypeScript or Python. Use when setting up a new Groq integration, configuring API keys, or initializing the groq-sdk in your project. Trigger with phrases like "install groq", "setup groq", "groq auth", "configure groq API key".
Apply production-ready Instantly.ai API client patterns for TypeScript and Python. Use when building reusable API wrappers, implementing retry logic, or establishing coding standards for Instantly integrations. Trigger with phrases like "instantly SDK patterns", "instantly best practices", "instantly client wrapper", "instantly code patterns", "idiomatic instantly".
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. Use when initializing chat models, routing across providers, iterating AIMessage content, or choosing a structured-output method. Trigger with "langchain model inference", "ChatAnthropic", "ChatOpenAI", "with_structured_output", "AIMessage content blocks", "langchain routing".
Local Dev Loop for MindTickle. Trigger: "mindtickle local dev loop".
Sdk Patterns for MindTickle. Trigger: "mindtickle sdk patterns".
Build a typed API wrapper around Navan REST endpoints since no official SDK exists. Use when you need production-grade API access with auto token refresh, retry logic, and typed responses. Trigger with "navan sdk patterns", "navan api wrapper", "navan client class", "navan typed client".
Create a minimal working OpenEvidence example. Trigger: "openevidence hello world", "openevidence example", "test openevidence".
Optimize deep learning models using Adam, SGD, and learning rate scheduling to improve accuracy and reduce training time. Use when asked to "optimize deep learning model" or "improve model performance". Trigger with phrases like 'optimize', 'performance', or 'speed up'.