Skills matching the name, description or GitHub author.
Systematic code review and evaluation tool for Python/FastAPI projects. Use when reviewing PRs, evaluating code quality, checking architecture compliance, or providing feedback on implementations. Triggers on "...
Guide for implementing Clean Architecture in Python/FastAPI projects. Use when creating new modules, refactoring existing code to Clean Architecture, designing layer structures, or implementing Port/Adapter pat...
Audits Python dependencies for security vulnerabilities and best practices. Use before PR or after adding dependencies.
AlgoKit Utils library for interacting with the Algorand blockchain from TypeScript or Python applications. Use when connecting to Algorand networks (LocalNet, TestNet, MainNet), sending payments or transferring...
Build Algorand smart contracts using Algorand TypeScript (PuyaTs) or Algorand Python (PuyaPy). Use when creating new smart contracts from scratch, adding features or methods to existing contracts, understanding...
Search OneDrive, Teams, and Outlook using Microsoft Graph API with Python. Use when asked to find files, emails, messages, or documents in Microsoft 365 services. This is the preferred method for quick searches...
Python best practices and patterns. Use when writing, reviewing, or debugging Python code. Provides PEP 8 guidance, type hints, testing with pytest, and async patterns.
Apply kinemotion development standards. Use when writing Python code, creating tests, modifying the kinemotion codebase, or reviewing code quality.
Apply kinemotion development standards. Use when writing Python code, creating tests, modifying the kinemotion codebase, or reviewing code quality.
Invoke IMMEDIATELY via python script when user requests codebase analysis, architecture review, security assessment, or quality evaluation. Do NOT explore first - the script orchestrates exploration.
Neo4j driver best practices for Python. Use when working with Neo4j connections, Cypher queries, transactions, or GraphRAG implementations.
Refactors "code slob" (technical debt) into clean, idiomatic Python code, using rigorous verification to ensure zero regressions. Use when the user asks to "refactor", "clean up", or "optimize" a file.
Buenas prácticas y patrones de desarrollo Python para el proyecto MCP. Incluye estándares de código, patrones arquitectónicos, y convenciones.
Guía para refactorizar código Python de forma segura y efectiva. Incluye técnicas de refactoring, detección de code smells, y mejoras.
Testing best practices for modern Python development. Activated when working with tests, pytest, Hypothesis property-based testing, Atheris fuzz testing, test coverage, test organization, or mutation testing.
Performance profiling best practices using py-spy and other Python profiling tools. Activated when profiling code, analyzing bottlenecks, or optimizing performance.
Type safety best practices for modern Python development. Activated when working with type hints, basedpyright, typing-extensions, Protocol, TypedDict, generics, or type narrowing.
Python development best practices for modern Python projects. Activated when working with Python files, pyproject.toml, or discussing Python patterns, testing, linting, type hints.
Security best practices for Python development. Activated when working with security concerns, input validation, injection prevention, or threat modeling.
Set up Claude Code rules in a project by symlinking from the rbw-claude-code templates. Use this skill when users want to add Python coding standards, anti-slop rules, or other shared rules to their projects.
Use when writing Python code with the Affinity SDK, or when user asks about "affinity-sdk", "affinity package", typed IDs, async Affinity client, pagination, or Python scripts for Affinity CRM.
Remote control tmux sessions for interactive CLIs (python, gdb, etc.) by sending keystrokes and scraping pane output.
Build or modify the Rust↔Python FFI using PyO3+maturin. Use for binding builds, smoke tests, and boundary validation workflow.
Work on Python experiments in packages/python_viterbo. Use for layout conventions, stage entrypoints, lint/test commands, and asset/plot handling.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.