腳本程式

Guide for implementing Google Cloud SDK (gcloud CLI) - a command-line tool for managing Google Cloud resources. Use when installing/configuring gcloud, authenticating with Google Cloud, managing projects/configurations, deploying applications, working with Compute Engine/GKE/App Engine/Cloud Storage, scripting gcloud operations, implementing CI/CD pipelines, or troubleshooting Google Cloud deployments.

Designs deliberate practice exercises applying evidence-based learning strategies like retrievalpractice, spaced repetition, and interleaving. Activate when educators need varied exercise types(fill-in-blank, debug-this, build-from-scratch, extend-code, AI-collaborative) targeting learningobjectives with appropriate difficulty progression. Creates exercise sets that apply cognitivescience principles to maximize retention and skill development. Use when designing practiceactivities for Python concepts, creating homework assignments, generating problem sets, orevaluating exercise quality.

This skill should be used when the user asks to "migrate from subgraph", "convert subgraph to hyperindex", "migrate from thegraph", "port subgraph", "convert subgraph handlers", "migrate assemblyscript to typescript", or mentions TheGraph, subgraph migration, subgraph.yaml conversion, or converting from TheGraph to Envio. For core HyperIndex development patterns, refer to the hyperindex-development skill.

Python development standards including pytest, ruff, black, and mypy. Use when working with Python files, tests, or dependencies.

ALWAYS use for ANY C# operation: renaming (files/classes/methods/properties/namespaces), finding references/usages ("where is X used"), finding definitions ("where is X defined"), understanding code structure (hierarchies/dependencies/relationships). Roslyn-powered semantic analysis ensures all references are updated correctly across the entire solution.

JavaScript and TypeScript coding standards, conventions, and best practices. Use when writing, reviewing, or testing JS/TS code.

Convert docstrings to NumPy/Sphinx style with proper Parameters, Returns, and Examples sections. This skill should be used when improving documentation quality across Python modules.

Use this skill when contributing code to open source projects. The skill covers proper pull request creation, avoiding common mistakes that annoy maintainers, cleaning up personal development artifacts before submission, writing effective PR descriptions, following project conventions, and communicating professionally with maintainers. It prevents 16 common contribution mistakes including working on main branch, not testing before PR submission, including unrelated changes, submitting planning documents, session notes, temporary test files, screenshots, and other personal artifacts. Includes 3 Critical Workflow Rules that must NEVER be skipped: (1) Always work on feature branches, (2) Test thoroughly with evidence before PR, (3) Keep PRs focused on single feature. The skill includes automation scripts to validate PRs before submission, templates for PR descriptions and commit messages, and comprehensive checklists. This skill should be used whenever creating pull requests for public repositories, contributing

Enable stricter TypeScript and linting checks to catch bugs early, especially useful when iterating with AI assistance.

This skill analyzes a git repository (local or remote) and automatically creates a professional 30-second explainer video featuring:

This skill should be used when the user asks to "write tests first", "use TDD", "test-driven development", "red green refactor", "test first", "add unit tests before code", "write regression test first", "safe refactor with tests", or when TDD mode is active and the user makes any coding request that affects behavior (features, bugs, refactors).

Review and score engineering specs against a startup-focused quality rubric. Penalize over-engineering and reward simplicity.

Create Claude Code hooks for event-driven automation and validation

Write or upgrade conventional Python docstrings for public modules, classes, functions, methods, and properties. Docstrings must be user-facing, mkdocstrings-friendly, include runnable examples, and must not repeat type hints.

Sets up a CI/CD pipeline for Python projects using GitHub Actions. Includes templates for PR checks, deployment via SSH, pre-commit hooks, and email notifications. Use this skill when a user wants to create a new CI/CD pipeline for a Python project.

Implements Stripe payments correctly the first time. Handles checkout sessions, webhooks, subscriptions, and customer management following Stripe best practices.

Set up Python projects using nix/direnv with uv for environment management. Use when creating new Python projects, initializing Python environments, or when the user wants automatic Python virtual environment setup with nix flakes.

Run quality checks and create properly formatted git commits. Use before committing code to ensure quality standards are met and commit messages follow project conventions.

Expert knowledge of Claude Code CLI tools (Read, Write, Edit, Bash, Grep, Glob, Task, MCP), features (Skills, Checkpoints, Hooks), and best practices for agentic coding assistance

Python unit testing patterns for pytest, including test file structure, fixtures, mocks, and coverage strategy. Use when asked to write tests (unit/integration) for any Python module, function, class, or method.