Find the perfect capability for your agent.
Architectural code analysis for Python design quality. Evaluates simplicity (Rich Hickey), functional core/imperative shell (Gary Bernhardt), and coupling (Constantine & Yourdon). Use for design review or architectural assessment of Python code.
Audit Python imports to preserve semantic context and prevent shadowing after refactors. Prefer namespace-first imports over direct symbol imports for generic identifiers.
Run isolated test environments for backend changes, manage test data, and verify API endpoints. Use when testing Python backend changes without interfering with production instances.
Comprehensive guide for AIDB debug adapter development. Covers component-based architecture, language-specific patterns (Python/debugpy, JavaScript/vscode-js-debug, Java/java-debug), lifecycle hooks, process management, port management, launch orchestration, resource cleanup, child sessions, and common pitfalls. Essential for developing or maintaining AIDB debug adapters.
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
This skill provides comprehensive knowledge for building applications with Cloudflare Sandboxes SDK, which enables secure, isolated code execution in full Linux containers at the edge. It should be used when executing untrusted code, running Python/Node.js scripts, performing git operations, building AI code execution systems, creating interactive development environments, or implementing CI/CD workflows that require full OS capabilities. Use when: Setting up Cloudflare Sandboxes, executing Python/Node.js code safely, managing stateful development environments, implementing AI code interpreters, running shell commands in isolation, handling git repositories programmatically, building chat-based coding agents, creating temporary build environments, processing files with system tools (ffmpeg, imagemagick, etc.), or when encountering issues with container lifecycle, session management, or state persistence. Keywords: cloudflare sandbox, container execution, code execution, isolated environment, durable objects
End-to-end Stellar development playbook. Covers Soroban smart contracts (Rust SDK), Stellar CLI, JavaScript/Python/Go SDKs for client apps, Stellar RPC (preferred) and Horizon API (legacy), Stellar Assets vs Soroban tokens (SAC bridge), wallet integration (Freighter, Stellar Wallets Kit), smart accounts with passkeys, status-sensitive zero-knowledge proof patterns, testing strategies, security patterns, and common pitfalls. Optimized for payments, asset tokenization, DeFi, privacy-aware applications, and financial applications. Use when building on Stellar, Soroban, or working with XLM, Stellar Assets, trustlines, anchors, SEPs, ZK proofs, or the Stellar RPC/Horizon APIs.
Use when choosing or configuring Python logging, especially deciding between stdlib logging and loguru for apps or CLIs.
Sub-skill of canvas-design: Using Python (PIL/Pillow) (+2).
Python GIS Ecosystem Skill — GDAL/OGR, Fiona, Shapely, Rasterio, GeoPandas, pyproj, Folium, xarray/rioxarray, Cartopy — foundational GIS libraries
Use for data analysis, file processing, statistics, and complex computations in Python.
Sub-skill of python-gis-ecosystem: 2.1 Coordinate Reference System Transforms (pyproj + GeoPandas) (+5).
Sub-skill of python-scientific-computing: CSV Data Processing (+1).
Sub-skill of python-scientific-computing: 1. Use Vectorization (+4).
Sub-skill of python-scientific-computing: 1. NumPy - Numerical Arrays and Linear Algebra (+2).
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
Multi-agent PR review that spawns parallel domain-specific subagents (python-expert, rust-expert, dbt-expert, dotnet-expert, kedro-expert, d2-tala-expert, ui-designer) based on changed file types, posts inline review comments on GitHub, GitLab, and Azure DevOps.
Guide for working with Linear project management via GraphQL API. Use when creating/updating Linear issues, changing status, adding comments, or uploading files/screenshots. Covers raw GraphQL, Python SDK (linear-py), issue search, mutations, and file upload workflows with Google Cloud Storage signed URLs. Tested October 2025.
Query, audit, and optimize Google Ads campaigns. Supports two modes: (1) API mode for bulk operations with google-ads Python SDK, (2) Browser automation mode for users without API access - just attach a browser tab to ads.google.com. Use when asked to check ad performance, pause campaigns/keywords, find wasted spend, audit conversion tracking, or optimize Google Ads accounts.
