自然語言處理

AI-simulated event storming workshop with multi-persona support. Use when discovering domain events, commands, actors, and bounded contexts. Supports three modes - full-simulation (5 persona agents debate), quick (single-pass analysis), and guided (interactive with user). Orchestrates persona agents and synthesizes results.

LLM-powered documentation generation for narrative architecture docs, tutorials, and developer guides. Uses AI consultation to create contextual, human-readable documentation from code analysis and spec data.

Repair malformed markdown code fence closings. Use when markdown files have closing fences with language identifiers (```text instead of ```) or when generating markdown with code blocks to ensure proper fence closure.

LLMが外部サービスと対話するための適切に設計されたツールを通じて、高品質なMCP (Model Context Protocol) サーバーを作成するためのガイド。Python (FastMCP)、Node/TypeScript (MCP SDK)、Rust (Tokio)で、外部APIやサービスを統合するMCPサーバーを構築する際に使用します。

Expert skill for implementing speech-to-text with Faster Whisper. Covers audio processing, transcription optimization, privacy protection, and secure handling of voice data for JARVIS voice assistant.

Expert guide for WebGL API development including 3D graphics, shaders (GLSL), rendering pipeline, textures, buffers, performance optimization, and canvas rendering. Use when working with WebGL, 3D graphics, canvas rendering, shaders, GPU programming, or when user mentions WebGL, OpenGL ES, GLSL, vertex shaders, fragment shaders, texture mapping, or 3D web graphics.

Convert GitHub repositories into LLM-friendly text. Use when you need to analyze external codebases, research unfamiliar libraries, understand third-party project structure, or ingest code from GitHub URLs (public/private, supports subdirectories).

ユーザーから与えられたタスクを単一責務の原則に基づいて分解し、 Phase 1からPhase 13までの実行可能なタスク仕様書ドキュメントを生成する。 Anchors: • Clean Code (Robert C. Martin) / 適用: 単一責務の原則 / 目的: タスク分解の基準 • Continuous Delivery (Jez Humble) / 適用: フェーズゲート / 目的: 品質パイプライン構築 • Domain-Driven Design (Eric Evans) / 適用: ユビキタス言語 / 目的: 一貫した用語設計 Trigger: タスク仕様書作成, タスク分解, ワークフロー設計, 実行計画作成 Use when creating task specifications for complex development tasks.

Read and manipulate NIF 3D mesh files. Use when the user wants to inspect meshes, find texture paths, scale models, or troubleshoot invisible items.

Generate ASCII art typography using pyfiglet. Use when user asks for ASCII art text, banners, headers, logo text, terminal art, or decorative typography. Curated whitelist of 24 display fonts available, agent can also use any of 500+ pyfiglet fonts.

Expert guide for creating OpenCode agents and subagents. Use when: (1) Creating specialized agents, (2) Designing multi-agent workflows, (3) Optimizing context with subagent delegation, (4) Setting tool permissions.

This skill should be used when the user asks to create a contact in Outlook from freeform text data (e.g., business cards, email signatures, addresses). It handles parsing contact information and creating properly structured Outlook contacts that sync to mobile devices.

专业的LangGraph AI应用开发技能，提供从概念到生产的完整开发指导。基于Context7最新调研，涵盖StateGraph设计、多代理协作、RAG系统实现、生产部署等核心场景。使用此技能构建有状态、多参与者、长期运行的AI代理应用。

Fetch and analyze GitHub issue details including comments, metadata, and discussion context. Use when user mentions issue numbers, URLs, or you need to understand implementation requirements from a GitHub issue.

Clean Architecture patterns for Swift/SwiftUI iOS projects. Use when working on Swift/SwiftUI projects that follow Clean Architecture with bounded contexts, ports/adapters pattern, and layered separation (domain/UI). Triggers for creating features, use cases, refactoring to bounded contexts, reviewing architecture compliance, or understanding project structure.

Build and optimize RAG pipelines with ColBERTv2 retrieval in DSPy

This skill enables Claude to perform natural language processing and text analysis using the nlp-text-analyzer plugin. It should be used when the user requests analysis of text, including sentiment analysis, keyword extraction, topic modeling, or other NLP tasks. The skill is triggered by requests involving "analyze text", "sentiment analysis", "keyword extraction", "topic modeling", or similar phrases related to text processing. It leverages AI/ML techniques to understand and extract insights from textual data.

This skill deploys monitoring stacks, including Prometheus, Grafana, and Datadog. It is used when the user needs to set up or configure monitoring infrastructure for applications or systems. The skill generates production-ready configurations, implements best practices, and supports multi-platform deployments. Use this when the user explicitly requests to deploy a monitoring stack, or mentions Prometheus, Grafana, or Datadog in the context of infrastructure setup.

Documentation patterns for creating clear, executable, and maintainable usage examples across APIs, CLIs, libraries, and frameworks.Anchors:• Docs for Developers (Jared Bhatti et al.) / 適用: 実践的な例示パターン / 目的: 開発者に即座に理解・実行可能な例を提供• The Documentation System (Diataxis) / 適用: チュートリアル・ハウツー・リファレンス分類 / 目的: 目的に応じた例の種類と粒度を選択• Clean Code (Robert C. Martin) / 適用: 明確な命名・単一責務 / 目的: 自己説明的なサンプルコードTrigger:Use when creating code examples, writing tutorials, documenting API usage, building sample projects, establishing example conventions, or standardizing example patterns across a codebase.example creation, tutorial writing, API documentation, sample code, documentation patterns

Assembles relevant context for agent spawns with prioritized ranking. Ranks packages by relevance, enforces token budgets with graduated zones, captures error patterns for learning, and supports configurable per-agent retrieval limits.