Scripting

Visualize proposed code changes in a structured ASCII format with file tree, impact summary, syntax-highlighted diff, and rationale. Use this skill when proposing refactors, simplifications, or any code modifications.

Generate code scaffolds following Carbon ACX conventions for React components, TypeScript APIs, Cloudflare Workers, Python scripts, and tests.

Discovery-driven codebase indexer for Claude Code. Analyzes what EXISTS in a project, then documents what developers need to know. Creates CLAUDE.md + claude-docs/ with architecture-aware documentation. Supports any language (JS/TS, Python, Java, Rust, Go, etc.). Use when: user asks to "index project", "document codebase", "set up claude docs", "analyze project structure", "help me understand this codebase", or when starting work on unfamiliar project. Triggers on phrases like "index this", "create docs for claude", "document the codebase", "set up project documentation".

Documentation for Kubernetes Agent Sandbox - a CRD-based system for managing isolated AI agent execution environments. Use for queries about Sandbox CRDs (Sandbox, SandboxTemplate, SandboxClaim, SandboxWarmPool), Python SDK (SandboxClient, SandboxRouter, ComputerUseExtension), network policies, security configurations, and implementation examples. Keywords kubernetes sandbox, agent sandbox, CRD, python sdk, agentic-sandbox-client, isolated environment, gvisor, network policy.

Generates human-style commit messages based on code changes. Use when user needs help writing commit messages or wants suggestions for describing their changes naturally.

Comprehensive Type 2 executable skill implementing full GDScript toolkit integration. Runs gdlint, gdformat, gdparse, and gdradon with structured JSON output for automated remediation. Reduces complex GDScript analysis knowledge to deterministic code.

Use PROACTIVELY when validating Claude Code skills before sharing or public release. Automated testing framework using multiple isolation environments (git worktree, Docker containers, VMs) to catch environment-specific bugs, hidden dependencies, and cleanup issues. Includes production-ready test templates and risk-based mode auto-detection. Not for functional testing of skill logic or non-skill code.

Generate production-quality Python code for sensor integration, sensor fusion, and perceptionsystems that run in Pyodide (browser). Creates educational code for teaching IMU sensors,LiDAR simulation, depth perception, tactile sensors, and sensor fusion algorithms.Focuses on sensor data processing, calibration, noise modeling, and multi-sensor fusionfor educational purposes.

Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.

Test quality validation detecting mesa-optimization, happy-path bias, vacuous assertions, and error-swallowing anti-patterns. Use when reviewing test files for quality issues, evaluating test meaningfulness, or ensuring tests validate behavior rather than passing trivially. Supports JavaScript, TypeScript, and Python test frameworks.

Expert Git workflow management for Claude Code sessions with branch naming conventions, push retry logic, conflict resolution, and PR automation specifically designed for AI-assisted development workflows.

Review a script for documentation quality, code standards, and reproducibility. Helps ensure code is ready for the methods section. Use when the user types /review_script, after writing a new script, before writing methods, or when passive checks flag undocumented scripts.

This skill should be used when the user asks to "use marimo", "create a marimo notebook", "debug a marimo notebook", "inspect cells", "understand reactive execution", "fix marimo errors", "convert from jupyter to marimo", or works with marimo reactive Python notebooks.

Python linting and type checking using ruff (formatting + linting) and pyright (type checking). Covers common errors, configuration, fixing violations, and when to use noqa. Use when fixing linting errors, configuring ruff/pyright, or understanding Python code quality tools.

TypeScript coding conventions and best practices. Use when working with TypeScript files, defining types, or setting up TypeScript projects.

Use this skill when building Model Context Protocol (MCP) servers on Cloudflare Workers. This skill should be used when deploying remote MCP servers with TypeScript, implementing OAuth authentication (GitHub, Google, Azure, etc.), using Durable Objects for stateful MCP servers, implementing WebSocket hibernation for cost optimization, or configuring dual transport methods (SSE + Streamable HTTP). The skill prevents 15+ common errors including McpAgent class export issues, OAuth redirect URI mismatches, WebSocket state loss, Durable Objects binding errors, and CORS configuration mistakes. Includes production-tested templates for basic MCP servers, OAuth proxy integration, stateful servers with Durable Objects, and complete wrangler.jsonc configurations. Covers all 4 authentication patterns: token validation, remote OAuth with DCR, OAuth proxy (workers-oauth-provider), and full OAuth provider implementation. Self-contained with Worker and Durable Objects basics. Token efficiency: ~87% savings (40k → 5k tokens).

Prisma 5+ ORM with schema-first design, type-safe client, migrations, and database integrations (Supabase, PlanetScale, Neon). Use for TypeScript/JavaScript database access.

Universal test generation skill that works with any language or framework. Detects project conventions, generates unit/integration/API/validation tests, and evolves through learning. Use when user asks to "write tests", "create tests", "generate tests", "add test coverage", "test this function/class/component", or any testing-related request. Supports JavaScript, TypeScript, Python, PHP, Go, Java, Ruby, Rust, C#, and more.

This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.

Manage Python projects with uv. Use when creating Python projects, managing dependencies, running scripts, or installing Python versions.