腳本程式

Essential Deno TypeScript practices for ALL Deno development: configuration, imports, testing, permissions, and anti-patterns. Read this skill for any Deno project setup, dependency management, or core development work.

Framework and stack identification with detection scripts and patterns. Use when detecting project type, analyzing framework, identifying stack, initializing projects, or when user mentions project detection, framework analysis, stack identification, or codebase analysis.

Use Jira scripts instead of Jira MCP for ticket operations. Read operations (jira-get-issue), write operations (jira-create-ticket, jira-comment-ticket, jira-update-ticket, jira-log-work, jira-link-tickets), and list operations (jira-list-tickets, jira-list-sprint). Use when reviewing code, creating tickets, commenting on tickets, updating tickets, logging work, linking tickets, listing tickets, or viewing sprint. Replaces ~30 MCP functions (40k tokens) with lightweight bash scripts.

Write and run Python tests using pytest with fixtures, mocking, coverage, and the AAA pattern. Use when writing Python tests, creating test files, or setting up pytest configuration.

Create complete Claude Code agents for the Traycer enforcement framework. This skill should be used when creating new agents or updating existing agents. Creates all agent components including system prompt, hooks, skills, commands, scripts, and reference docs. Also updates coordination documents that list available agents. Based on Anthropic's official agent development best practices.

Code navigation and indexing (F#, Ruby)

Unified Twitter/X API client for retrieving user info and tweets via twitterapi.io. Supports user lookup and advanced tweet search with a clean Typer-based CLI and agent-friendly Python interface.

Invoke IMMEDIATELY via python script for structured problem analysis and decision reasoning. Do NOT explore first - the script orchestrates the workflow.

DevOps Captain - Infrastructure-as-code, Kubernetes, CI/CD, and automation specialist

Expert Unreal Engine 5 developer and technical artist for complete game development via agentic coding. Enables AI-driven control of Unreal Editor through MCP, Python scripting, Blueprints, and C++ for level design, asset management, gameplay programming, and visual development.

Generate PlantUML diagrams from text descriptions and convert them to PNG/SVG images. Use when asked to "create a diagram", "generate PlantUML", "convert puml to image", "extract diagrams from markdown", or "prepare markdown for Confluence". Supports all PlantUML diagram types including UML (sequence, class, activity, state, component, deployment, use case, object, timing) and non-UML (ER diagrams, Gantt charts, JSON/YAML visualization, mindmaps, WBS, network diagrams, wireframes, and more).

Fetches library documentation from Context7 and the web, then saves it to ai_docs/ in organized category-based folders. Supports version management, topic-specific documentation, and refreshing existing docs. Automatically invoked for requests to fetch or save library documentation.

This skill should be used when the user asks to "convert notebook to text", "use jupytext", "version control notebooks", "share data between kernels", "set up multi-kernel project", "pair notebooks with Python files", "sync ipynb and py files", or needs multi-kernel projects (Python/R/Stata/SAS) with version-control-friendly notebooks.

This skill should be used for periodic review of all Claude Code skills. Triggers include "audit my skills", "which skills need work", "skill inventory", or when starting a skill improvement session. Identifies staleness, gaps, redundancy, and prioritizes improvements.

Provides three production-ready ML training examples (sentiment classification, text generation, RedAI trade classifier) with complete training scripts, deployment configs, and datasets. Use when user needs example projects, reference implementations, starter templates, or wants to see working code for sentiment analysis, text generation, or financial trade classification.

Critical review and gap analysis skill that can be invoked at any workflow stage. Use to challenge decisions, identify missing specifications, verify coherence, and surface unaddressed questions in CDC, findings, plans, or any deliverable. Acts as a devil's advocate by deeply analyzing codebase, project documentation ([DOC]-* folders), and context.

This skill should be used when the user asks to "refactor", "extract function", "rename", "improve code quality", "reduce duplication", or "remove code smell". Supports Lean 4 and general refactoring patterns.

Generate properly configured tsconfig.json files for TypeScript projects with appropriate compiler options for various project types. Triggers on "create tsconfig", "generate tsconfig.json", "typescript config for", "configure TypeScript".

Python開発パターン集。Pythonコード作成、データ処理、ファイル操作時に使用。

Generate JSON schemas and Python handlers for Qdrant-based retrieval tools used by the RAG agent to search sitemap-crawled textbook content with URL citations.