Find the perfect capability for your agent.
Scaffolds a new Python tool utility in 'src/tools/' for agents to call. Tools are utility functions (web scraping, PDF parsing, database queries) that agents use. Use when creating utilities that agents depend on.
Executes HEC-HMS simulations using HmsCmdr.compute_run(), handles parallel execution across multiple runs, and manages Jython script generation. Use when running HMS simulations, executing runs, computing models, or setting up parallel computation workflows. Handles HMS 3.x and 4.x version differences, Python 2/3 compatibility, destination folder management, and multi-run coordination. Trigger keywords: run simulation, execute HMS, compute run, parallel execution, batch runs, Jython script, HMS 3.x, HMS 4.x, Python 2 compatible.
Execute JavaScript or Python code in a secure Hyperlight VM sandbox with full isolation. Use this when users request running code, performing calculations, testing algorithms, or demonstrating code behavior with actual output.
Expert guidance for Python testing that analyzes your existing setup and provides evidence-based recommendations. I'll examine your current tests, configurations, and dependencies before suggesting changes. Use when writing tests, improving coverage, debugging issues, or optimizing testing setup.
Erstellt professionelle Git-Commits mit automatischen Pre-Commit-Checks für Java, Python, React und Dokumentation. Generiert Emoji Conventional Commit-Nachrichten und analysiert Staging-Status. Atomare Commits nach Best Practices.
Configures Claude Code permissions via natural language for CLI tools (git, gcloud, aws, kubectl, maven, gradle, npm, docker), project types (Rust, Java, TypeScript, Python), and file patterns. Use when asked to "configure permissions", "enable git", "allow docker", "setup project permissions", "apply permission profile", or "make files editable". Auto-detects project types and researches unknown tools.
This skill should be used when the user asks to "generate gitlab-ci.yml", "create GitLab CI pipeline", "configure GitLab CI/CD", "use To-Be-Continuous templates", "setup TBC templates", "create CI/CD for Python/Node/Go/Java project", "configure Docker build in GitLab", "setup Kubernetes deployment in GitLab", "add SonarQube to GitLab CI", "configure Terraform with GitLab", or mentions "TBC", "To-Be-Continuous", "Kicker".
Use PROACTIVELY when checking if tests catch real bugs, assessing test suite quality, finding weak tests, or measuring mutation score. Validates test effectiveness beyond coverage metrics by introducing code mutations. Supports Stryker (JS/TS), PIT (Java), mutmut (Python). Not for projects without existing test suites.
Provides Python Lambda implementation patterns with type hints, boto3 client initialization optimization, and proper error handling. Use when creating or modifying Python Lambda code, implementing AWS Lambda handlers, or working with boto3 clients.
Build secure container images with Wolfi runtime, non-root users, and multi-stage builds. Templates for Python/uv, Bun, Node.js/pnpm, Golang (static/CGO), and Rust (glibc/musl) with allocator optimization
Initialize a new Python repository with correct structure following RAE guidelines
Configure Grafana Loki logging using mazza-base library for Python/Flask applications with CA certificate (Mazza-specific). Use when setting up Loki logging for Mazza projects or configuring centralized logging.
Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank, debug-this, build-from-scratch, extend-code, AI-collaborative) targeting learning objectives with appropriate difficulty progression. Creates exercise sets that apply cognitive science principles to maximize retention and skill development. Use when designing practice activities for Python concepts, creating homework assignments, generating problem sets, or evaluating exercise quality.
Master programming languages from Python to Rust. Learn core concepts like variables, OOP, functional programming, algorithms, data structures, and competitive programming techniques. Use when exploring programming languages, learning CS fundamentals, or preparing for technical interviews.
Foundational Python patterns covering core syntax, idioms, type hints, testing, and modern tooling. Use when writing Python code, understanding Pythonic patterns, working with type hints, or needing guidance on which specialized Python skill to use. This is the entry point for Python development.
Master Python syntax, data types, control flow, functions, OOP, and standard library
Queries Context7 library documentation via Python CLI. Use when resolving library IDs, fetching API references, code examples, or conceptual guides.
Expert-level Python programming with PEP 8 standards and modern best practices. Use when writing Python code, debugging Python issues, explaining Python concepts, or reviewing Python code.
