Skills matching the name, description or GitHub author.
Standardizes development environment setup across machines by generating tool version configs (Node, Python, Ruby), package manager configs (pnpm, Volta, asdf, mise), environment variable templates, and setup s...
Routes to appropriate Python specialist skill based on symptoms and problem type
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Mutation testing patterns for Python using mutmut. Use when analyzing Python code to find weak or missing tests, verifying pytest effectiveness, strengthening Python test suites, or validating TDD workflows in...
Backend expert for Python 3.12, FastAPI, and SQLite code review and debugging. Use this skill when reviewing, analyzing, or fixing backend code involving FastAPI routes, SQLite database operations, or API integ...
Run benchmarks for the crypto-rs-backtester project (Python and Rust).
Extract comment locations from code files for analysis. Use when cleaning comments, auditing code documentation, or analyzing comment patterns. Supports Python, JavaScript, TypeScript, Go, Rust, Java, C/C++, Ru...
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.
Execute CodeQL security scans with language detection, database caching, and SARIF output. Use when performing static security analysis on Python or GitHub Actions code.
Add ADR references to code for decision traceability. Use when creating new files, documenting non-obvious implementation choices, or when user mentions ADR traceability, code reference, or document decision in...
Configure environment via mise [env] SSoT. TRIGGERS - mise env, mise.toml, environment variables, centralize config, Python venv, mise templates.
Unified Python logging patterns with loguru, platformdirs, RotatingFileHandler. TRIGGERS - loguru, platformdirs, structured logging, JSONL logs, log rotation, XDG directories, python logging setup, machine read...
Log experiment metrics, parameters, and artifacts using MLflow Python API. Query and analyze runs with DataFrame operations. Use when user mentions "log backtest", "MLflow metrics", "experiment tracking", "log...
Control Notion via Python SDK. TRIGGERS - Notion API, create page, query database, add blocks, automate Notion. PREFLIGHT - requires token from notion.so/my-integrations.
Autonomous polyglot monorepo bootstrap meta-prompt. TRIGGERS - new monorepo, polyglot setup, scaffold Python+Rust+Bun, monorepo from scratch.
Run Earthly E2E validation for YAML schema contracts. Use when validating YAML schema changes, testing schema contracts against live ClickHouse, or regenerating Python types, DDL, and docs from YAML. For SQL sc...
Manages credentials and publishing workflows via Doppler. Use when publishing Python packages to PyPI, rotating AWS credentials, or managing secrets with Doppler.
Configures Python development workspace for MQL5 integration. Use when setting up MetaTrader 5 Python API, configuring mt5 package, or establishing MQL5-Python workflows.
Extracts and organizes MQL5 articles and documentation. Use when researching MQL5 features, MetaTrader API documentation, Python MT5 integration, or algorithmic trading resources.
Python coding conventions and best practices. Use when writing, reviewing, or refactoring Python code, or when working with Python scripts and projects.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Essential guidelines for writing modern, type-safe, and idiomatic Python 3 code.
Standards for efficient, readable, and performant data manipulation using Python's Pandas library.
Generates executable Python protocols for Opentrons OT-2 and Flex robots from natural language descriptions.
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.