命令列工具

Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP integrations, need to discover available MCP capabilities, filter MCP tools for specific tasks, execute MCP tools programmatically, access MCP prompts/resources, or implement MCP client functionality. Supports intelligent tool selection, multi-server management, and context-efficient capability discovery.

Use when implementing QR code scanning - provides complete patterns for camera-based scanning, classifying scanned content (Bitcoin addresses, Lightning invoices, npubs, Cashu tokens), handling camera permissions, and paste from clipboard functionality

Manage dotfiles using chezmoi. Use when creating, modifying, or deploying dotfiles, shell functions, or configuration files in this repository.

Generates production-ready BAML applications from natural language requirements. Creates complete type definitions, functions, clients, tests, and framework integrations for data extraction, classification, RAG, and agent workflows. Queries official BoundaryML repositories via MCP for real-time patterns. Supports multimodal inputs (images, audio), 6 programming languages (Python, TypeScript, Ruby, Java, Go, C#), 10+ frameworks, 50-70% token optimization, and 95%+ compilation success.

Generate standalone Python scripts (not packaged projects) with PEP 723 inline metadata, a uv run shebang, and Typer CLI scaffolding. Use when the user wants a one-off executable script, automation tool, or runnable file that should declare dependencies inline and not live inside a package or project.

PowerShell best practices for Windows development, including cmdlet patterns, module development, and error handling

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing

Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

Generate new Node.js CLI tool projects using TypeScript with ESM modules, tsc for building, tsx for development, Biome for linting/formatting, and Node's built-in test runner. Use this skill when the user requests to create a new Node TypeScript CLI project or CLI tool.

Access and interact with Large Language Models from the command line using Simon Willison's llm CLI tool. Supports OpenAI, Anthropic, Gemini, Llama, and dozens of other models via plugins. Features include chat sessions, embeddings, structured data extraction with schemas, prompt templates, conversation logging, and tool use. This skill is triggered when the user says things like "run a prompt with llm", "use the llm command", "call an LLM from the command line", "set up llm API keys", "install llm plugins", "create embeddings", or "extract structured data from text".

Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging.

Create interactive analytics dashboards with React components from drizzle-cube/client. Use when building dashboards, configuring portlets, setting up grid layouts, or creating analytics UIs with drizzle-cube React components.

Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.

Next.js App RouterのServer/Client Components、データフェッチ、ルーティングパターン。ページやコンポーネント作成時に使用。

Automated alert system for key events in drug discovery. Use for trackingcompetitor milestones, clinical trial updates, regulatory decisions, andpublications of interest.Keywords: alerts, monitoring, tracking, notifications, competitive intelligence

Download and parse Advent of Code puzzles using aoc-cli. Extracts examples, expected outputs, and problem requirements from puzzle descriptions. Use when needing to fetch AoC puzzles, parse puzzle examples, or when user mentions downloading or reading AoC puzzle data.

Generate a Sentient.io-branded quotation by gathering client inputs, filling the Sentient Quotation template, and delivering the document into the correct Work Day Google Drive folder via the work-day skill.

Graphite CLI detection and stacked PR workflow management

Expert guidance for researching, documenting, and integrating Model Context Protocol (MCP) servers and tools. Covers MCP architecture, server/client implementation patterns, tool discovery, integration workflows, security best practices, and multi-language SDK usage (Python, TypeScript, C#, Java, Rust). Enables seamless integration of MCP tools into Claude Code and AI applications.

Deep analysis of clinical trials including design, enrollment, outcomes,and competitive positioning. Use for trial monitoring, landscape analysis,and competitive intelligence.Keywords: clinical, trials, NCT, enrollment, phase, outcomes, study design