aka. Agent Skills
Discover skills for AI coding agents. Works with Claude Code, OpenAI Codex, Gemini CLI, Cursor, and more.
Use when implementation is complete, all tests pass, and you need to integrate the work - validates, updates docs, and creates PR
Use when you have a written implementation plan to execute with continuous task execution
This skill should be used when the user asks about "plugin settings", "store plugin configuration", "user-configurable plugin", ".local.md files", "plugin state files", "read YAML frontmatter", "per-project plugin settings", or wants to make plugin behavior configurable. Documents the .claude/plugin-name.local.md pattern for storing plugin-specific configuration with YAML frontmatter and markdown content.
Use this skill when surfacing Claude's assumptions about a phase approach before planning, checking what Claude thinks, or validating understanding before planning. Triggers include "list assumptions", "what are you thinking", "show assumptions", "phase assumptions", and "what's the plan".
Use this skill when showing what's new in Kata since the installed version, displaying changelog entries, checking for Kata updates, or reviewing recent changes. Triggers include "what's new", "whats new", "show changes", "changelog", "recent changes", and "what changed".
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Implements ZenML quick wins to enhance MLOps workflows. Investigates codebase and stack configuration, recommends high-priority improvements, and implements metadata logging, experiment tracking, alerts, scheduling, secrets management, tags, git hooks, HTML reports, and Model Control Plane setup. Use when: user wants to improve their ZenML setup, asks about MLOps best practices, mentions "quick wins", wants to enhance pipelines, or needs help with ZenML features like experiment tracking, alerting, scheduling, or model governance.
Universal learning system that extracts insights from conversations and updates project memory files (CLAUDE.md, AGENTS.md, .cursorrules, etc.) with LLM-friendly documentation. Works across all AI coding assistants.
Auto-suggested when working on src/content/learn/**/*.md files. Provides Learn page structure and tone guidance.
Jujutsu (jj) バージョン管理システムのワークフロー支援。 PR作成、ブックマーク管理、Change IDベース管理をサポート。
Python開発支援(FastAPI/Pydantic/uv)。 型ヒント、ruff、mypyでモダンPython開発をガイド。
再帰的な質問で要件・課題を深堀りし、推測をなくし、品質・信頼性を向上させるスキル。トリガーキーワード: 「深堀り」「検討して」「ultrathink」「よく考えて」「他にはないか」「他の案は?」。使用場面: 新機能設計、問題解決、技術調査、学習用途、機能追加など。
Analyzes a piece of content to build a comprehensive, data-driven SEO strategy. Use this skill when you want to improve the search engine performance of a specific URL by aligning it with audience intent, establishing topical authority, and optimizing its technical structure.
Essential ecosystem tools
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.
Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.
Automatically enforces Rails naming conventions, MVC separation, and RESTful patterns