A collection of Jupyter notebooks and Python examples for building with the Claude API.
Integrations and Claude (Anthropic) Skills
10 skills match Integrations plus Claude (Anthropic). Clear filters
AI Overview: Discovering Agent Skills
The Agent Skill Source directory is architected into three primary discovery layers: Outcome-based Categories (what you want to achieve), Runtime Compatibility (where the agent runs), and Execution Strategy (how the skill is processed). To find the most reliable capabilities, use the Highest Rated sort and filter by Verified trust levels.
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Manage Things 3 tasks on macOS using the `things` CLI to add, update, search, and list tasks, projects, areas, and tags.
Integrate with Notion's API to manage pages, databases, and blocks programmatically.
Enables AI agents to interact with Discord channels, send messages, react, edit, delete, poll, manage threads, search content, and set presence.
Control Slack from OpenClaw to react to messages, manage pins, send/edit messages, and fetch member info. Requires configured bot token.
Interact directly with MCP servers using the mcporter CLI for listing, configuring, authenticating, and calling tools via HTTP or stdio.
A comprehensive tutorial series on building sophisticated general-purpose AI agents using the Claude Agent SDK, from basic research to multi-agent orchestration.
Automate Mixpanel tasks like events, segmentation, funnels, cohorts, and user profiles using Rube MCP (Composio). Always search tools first.
Interact with Azure Data Lake Storage Gen2 using Python. Manage files, directories, and access control for big data analytics workloads.
Expert guidance for creating intelligent conversational interfaces, chatbots, and AI-powered applications with natural language understanding.
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Claude (Anthropic) 35
Cursor IDE 40
GitHub Copilot 36
VS Code 50
Cline 38
Windsurf 7
Aider 24
Gemini CLI 11
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