nwb-validation
Validates NWB files using NWB Inspector and provides intelligent correction recommendations
Find the perfect capability for your agent.
Validates NWB files using NWB Inspector and provides intelligent correction recommendations
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
Simplify overly complex Python code. Use when user asks to simplify, refactor, clean up, make more readable, reduce complexity, improve code quality, find code smells, detect duplicates, or analyze coupling in Python code. Triggers on requests like "simplify this code", "this is too complex", "make this more readable", "refactor this", "clean this up", "find issues", "analyze this codebase", or when reviewing code that exhibits complexity anti-patterns. For Django-specific analysis, use the django-simplifier skill instead.
Perform automated security analysis on code changes to identify common vulnerabilities including SQL injection, path traversal, hardcoded secrets, XSS, and insecure API usage. Reviews Python code for OWASP Top 10 vulnerabilities.
Python type hints, type checking, and static analysis with mypy
Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when reviewing pull requests, providing code feedback, identifying issues, or ensuring code quality standards.
Use this agent when you need to review Python code changes with an extremely high quality bar. This agent should be invoked after implementing features, modifying existing code, or creating new Python modules. The agent applies Kieran's strict Python conventions and taste preferences to ensure code meets exceptional standards.\n\nExamples:\n- <example>\n Context: The user has just implemented a new FastAPI endpoint.\n user: "I've added a new user registration endpoint"\n assistant: "I've implemented the registration endpoint. Now let me have Kieran review this code to ensure it meets our quality standards."\n <commentary>\n Since new endpoint code was written, use the kieran-python-reviewer agent to apply Kieran's strict Python conventions and quality checks.\n </commentary>\n</example>\n- <example>\n Context: The user has refactored an existing service class.\n user: "Please refactor the EmailService class to handle attachments"\n assistant: "I've refactored the EmailService to handle attachments."\
Automated code quality assistant that formats code, fixes syntax/type errors, detects bugs, and validates fixes across Python, JavaScript, TypeScript, Java, Go, and Rust
Migrate Python codebases to strict type checking with pyright. Use when user wants to add types, fix type errors, set up strict mode, or run a typing migration. Provides setup automation, fix patterns, discipline enforcement, and optional iteration loop support.
Expert in conducting thorough code reviews for Python projects using GitHub MCP, covering test coverage, security practices, PEP 8 compliance, and code organization. Use when reviewing code or PRs.
Validates Claude skill files for correct structure, YAML frontmatter, Python imports, naming conventions, and compliance with official documentation
Format and analyze Python code using ruff (formatting/linting) and ty (static type checking). Use when the user asks to format Python code, run linting, check types, fix code style issues, or analyze Python code quality.
Expert in Python 3.10+ fundamentals and best practices for the Drift project including import ordering (isort), code organization, and PEP 8 conventions. Use when writing or reviewing Python code.
Analyze text for grammar, spelling, punctuation, and style issues. Execute Python script to perform detailed analysis. Use when checking grammar or proofreading.
Runs configured type checkers (pyrefly, mypy) on files after editing. MUST USE when validating Python type safety (Internal-only passive hook).
Perform automated static code analysis on modified files. Triggers automatically after code changes to catch common issues before QA Lead review. Checks for: code complexity, dead code, type errors, import issues, and style violations. Use when: - Code files have been modified - Before committing changes - As pre-check for QA Lead review - User asks "analyze this code" or "check for issues" This skill runs lightweight static analysis tools (pylint, mypy, ruff for Python; eslint, tsc for TypeScript) and reports findings in structured format.