A collection of Jupyter notebooks and Python examples for building with the Claude API.
Research and Aider Skills
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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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Quickly validate ideas, compare technical approaches, and prototype solutions with minimal overhead before committing to full development.
Generate spectrograms and feature-panel visualizations from audio using the songsee CLI tool.
Get current weather information and forecasts from free online services, no API keys required.
Monitor blogs and RSS/Atom feeds for updates using the blogwatcher CLI tool, enabling efficient tracking of new content.
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Claude (Anthropic) 38
Cursor IDE 43
GitHub Copilot 40
VS Code 56
Cline 44
Windsurf 10
Aider 28
Gemini CLI 14
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