NLP

Generate AI-optimized context for NuGet packages using Repomix. Use when preparing AI docs, API references, or dependency analysis ("nuget context", "repomix nuget").

Condenses long documents, conversation logs, or transcripts into concise summaries. Supports retrieval from memory/files, multiple output formats (bullet points, paragraphs, executive summary), and customizable detail levels. Use when the user needs to quickly understand large amounts of text content.

Use when exploring Context level impact during scoping - system boundaries, actors, cross-container interactions, and high-level concerns

PCE (Process-Context Engine) のコンテキスト構造化スキル。収集した知識を適切な場所・粒度で構造化し、再利用可能にする。 トリガー条件: - 「CLAUDE.mdを更新して」 - 「ADRを整理して」 - 「知識を構造化して」 - 「pce-memoryに登録して」 - pce-collectionで蓄積された知見の整理時

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Use after proposal approval to break work into 2-5 minute tasks with exact file paths and code examples. Each task must be completable by an agent with zero context. Do NOT use before proposal is approved.

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

Configuring MCP Servers & Plugins for Claude Code. Set up Model Context Protocol servers (GitHub, Filesystem, Brave Search, SQLite). Configure OAuth, manage permissions, validate MCP structure. Use when integrating external tools, APIs, or expanding Claude Code capabilities.

This skill should be used for exploring codebases, looking up documentation, investigating how things work, and gathering context without making code changes. Use for "how does X work?", "find where Y is handled", or "explain Z" questions.

Enterprise Vercel Edge Platform with AI-powered modern deployment, Context7 integration, and intelligent edge orchestration for scalable web applications

This skill should be used when the user uses ambiguous terminology like "make it talk", "we need an api", "make it portable", "check for gaps", asks meta-questions like "am I making sense?", "does this make sense?", mentions being a "non-technical user", uses vague action verbs ("make it work", "do the thing"), mixes domain languages, uses invented terms, or when detecting semantic drift between human natural language and technical precision. Provides semantic translation, disambiguation, and domain knowledge mapping across Autogen, Langroid, MCP (Model Context Protocol), UTCP (Universal Tool Calling Protocol), FastAPI, Git/Gitflow, SRE (Site Reliability Engineering), and Memory Graphs domains. Bridges the gap between user intent and technical specificity through ontological translation.

Manages project progress tracking and maintains a chronological log of completed tasks, decisions, and updates. Use when completing milestones, making architectural decisions, or documenting project evolution. Creates and updates LOG.md file based on CLAUDE.md context.

Design and create Claude Skills using progressive disclosure principles. Use when user request to build new or update skills, or when realizing a new skill is needed, based on repeated context or domain expertise.

Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.

Guide for Next.js 16 fully async APIs. Covers cookies(), headers(), params, and searchParams patterns that must be awaited. Use when accessing server context in Server Components, Route Handlers, or Proxy functions. Essential for Next.js 16 compliance.

Build self-hosted TTS APIs using HuggingFace models (Parler-TTS, F5-TTS, XTTS-v2) and create LiveKit voice agent plugins with streaming support. Use when creating production-ready text-to-speech systems that need: (1) Self-hosted TTS with full control, (2) LiveKit voice agent integration, (3) Streaming audio for low-latency conversations, (4) Custom voice characteristics, (5) Cost-effective alternatives to cloud TTS providers like ElevenLabs or Google TTS.

Generates session summaries and resume prompts for multi-session work. Use when completing features, before context limits (~50% capacity), or when user says "summary", "wrap up", "save progress", "end session". Creates markdown in docs/summaries/ with completed work, files modified, and restart instructions.

Guides DDD discovery for the ToDo domain: ubiquitous language, bounded context, aggregates, invariants.

Transform raw or transcript-like text into a polished Markdown document for internal sharing. Use when the user provides a text file (any mix of zh_tw, zh_cn, or en) and wants sentence repair, structured headings, concise paragraphs, a 3–7 bullet summary, and an Action Items section when tasks are mentioned.

CSS typography patterns for readable, beautiful text. Covers type scale, hierarchy, rhythm, font pairing, text-wrap, hanging punctuation, and OpenType features.