$ skills --list
AI 에이전트 스킬 둘러보기 및 발견
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AI 에이전트 스킬 둘러보기 및 발견
Showing 44221-44240 of 44357 skills
Verify code quality standards are met - naming, structure, DRY principles. Issues result in SUGGESTIONS for improvement.
Go Echo framework skill with documentation, guides, and examples
技术卡片审核。验证问题卡片/知识卡片的准确性，查找资料核实，指出错误并提供改进建议。当用户说「review」「审核」「检查」技术文档时使用。适用于 tech/ 目录。
Manages multi-phase tasks using persistent markdown files as cross-session memory. Syncs plan state to TodoWrite for UI visibility. Triggers: 3+ phase tasks, research, multi-session work, refactors, or keywords like "plan", "track progress", "resume", "continue", "break this down", "organize".
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Instrument HTTP/gRPC endpoints with distributed tracing and RED metrics
開発環境セットアップスキル（依存関係インストール、DB初期化、環境変数設定）
This skill should be used when the user asks about "Ashby API", "how to use Ashby tools", "Ashby authentication", "Ashby MCP tools", "what can I do with Ashby", or needs help understanding available Ashby operations. Provides complete API documentation and tool usage guidance.
Orchestrates cross-system productivity workflows between Things3 and Notion, providing automation patterns, integration strategies, and unified productivity methodologies for personal systems.
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Convert any file to markdown format using the markitdown library. Use this skill when users need to convert documents (PDF, DOCX, XLSX, PPTX, images, HTML, CSV, JSON, XML, audio files, etc.) into markdown format for easier reading, editing, or integration into markdown-based workflows.
Add context to LOCAL BTR tree (NOT ByteRover/brv). Use `btr` CLI or `mcp__btr__*` MCP tools. Add or update context in the BTR tree with AI-powered metadata extraction. Use when the user wants to "add to context tree", "store this in BTR", "curate to BTR", or needs to organize knowledge with intelligent tagging.
Invoke this skill first when authoring any AI agent instructions. Foundational principles for writing LLM instructions (skills, CLAUDE.md, rules, commands). Covers token economics, imperative language, formatting for LLM parsing, emphasis modifiers, terminology consistency, and common anti-patterns.
Complete SDK for controlling Reachy Mini robot - head movement, antennas, camera, audio, motion recording/playback.Covers architecture (daemon/client), deployment modes (USB, wireless, simulation, on-Pi), and app distribution.Also includes advanced application patterns: MovementManager, layered motion, audio-reactive movement, face tracking,LLM tool systems, and OpenAI realtime integration.Use when: (1) Writing code to control Reachy Mini, (2) Moving the robot head or antennas, (3) Accessing camera/video,(4) Playing/recording audio, (5) Recording or playing back motions, (6) Looking at points in image or world space,(7) Understanding robot capabilities, (8) Connecting to real or simulated robot, (9) Building conversational AI apps,(10) Integrating with LLMs/OpenAI, (11) Deploying apps to robot, (12) Any robotics task with Reachy Mini.
Object-oriented design principles including object calisthenics, dependency inversion, fail-fast error handling, feature envy detection, and intention-revealing naming. Activates during code refactoring, design reviews, or when user requests design improvements.
Write and manage tests using TDD with Pest (PHP), Vitest (React), and Playwright (E2E). Use when writingfeature tests, unit tests, component tests, or improving test coverage. EXCLUSIVE to testing-expert agent.
Designs and configures alerting rules for monitoring systems
Use when running Codex as an independent reviewer. Focus on actionable, prioritized findings.
Provides idiomatic Go programming expertise and best practices. Ensures clean, efficient, and maintainable code following official Go conventions. Specializes in concurrent programming patterns, interface design, error handling strategies, and performance optimization. Masters standard library usage and ecosystem integration.Use when: writing Go code (.go files), designing interfaces and struct types, implementing concurrent patterns (goroutines/channels), handling errors idiomatically, writing table-driven tests, creating Go modules, optimizing performance-critical code, managing dependencies with go.mod, implementing HTTP servers and clients, working with context propagation, or designing package APIs for public libraries.
Run policy-as-code checks (e.g., OPA/Conftest) based on the policy_plan. Use in Flow 2 and Flow 4.