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Found 711 Skills
LangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications
Use when user asks 'how should I...' or 'what's the best approach...' after exploring code, OR when you've tried to solve something and are stuck, OR for unfamiliar workflows, OR when user references past work. Searches conversation history.
Create new capabilities and skills systematically. Architects, documents, and implements reusable skills with proper specifications.
Access paid services (verification, search, AI models, images, audio, browser automation) for AI agents via Sapiom. Use when building agents that need to verify phone/email, search the web, call AI models, generate images, convert text-to-speech, or automate browsers — without setting up vendor accounts.
Skill for creating AI agent projects using the VoltAgent framework. Guide for CLI setup and manual bootstrapping.
Generates valid n8n workflow JSON with nodes, connections, settings, credentials. Use when creating workflow automations programmatically, scaffolding AI agent workflows with LangChain nodes, or converting requirements into n8n JSON.
Amazon Bedrock AgentCore Evaluations for testing and monitoring AI agent quality. 13 built-in evaluators plus custom LLM-as-Judge patterns. Use when testing agents, monitoring production quality, setting up alerts, or validating agent behavior.
Add email capabilities to AI agents using popular frameworks. Provides pre-built tools for TypeScript and Python frameworks including Vercel AI SDK, LangChain, Clawdbot, OpenAI Agents SDK, and LiveKit Agents. Use when integrating AgentMail with agent frameworks that need email send/receive tools.
Retrieve comprehensive year-over-year growth in key financial metrics including Revenue, Gross Profit, Operating Income, Net Income, EPS, and Free Cash Flow. Use when analyzing overall company financial performance trends across income statement and cash flow.
This skill enriches vague prompts with targeted research and clarification before execution. Should be used when a prompt is determined to be vague and requires systematic research, question generation, and execution guidance.
Task Closure Specification, including log generation and optimization analysis. Applicable to the closure phase after major deliverables are completed.
General Architecture Governance Specification, providing layering constraints, impact analysis, interface contracts, and dependency injection baselines. Suitable for architecture review, refactoring, and new module design of any multi-layer system.