project-helper
Helps with common project tasks like setup, configuration, and troubleshooting. Use when user asks about project structure, dependencies, common issues, or says "help me understand this project".
发现 content media llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Helps with common project tasks like setup, configuration, and troubleshooting. Use when user asks about project structure, dependencies, common issues, or says "help me understand this project".
Analyzes user questions and automatically dispatches optimal agents/skills/plugins
UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona c...
Orchestrates formal debates with proposition and opposition sides, coordinating debaters and judges through structured exchanges. Use when running debate exchanges, managing debate rounds, or continuing interru...
Expert assistance with Linux bash commands, shell scripting, system administration, file operations, and command-line utilities. Use this when working with bash scripts, Linux system operations, or command-line...
Expert guidance for tRPC (TypeScript Remote Procedure Call) including router setup, procedures, middleware, context, client configuration, and Next.js integration. Use this when building type-safe APIs, integra...
Manage comprehensive Spanish learning system with A2 level support, vocabulary tracking, TTS integration, practice management, and deep search capabilities.
Comprehensive guide for debugging Claude Agent SDK errors, TypedDict contracts, and internal SDK processing issues
Anthropic's official prompt engineering best practices. Use when optimizing prompts, debugging outputs, or improving response quality.
Prioritize brevity, directness, and clarity in all responses with minimal token usage.
Explore complex, multi-faceted topics requiring deep understanding through a three-round iterative strategy with parallel subagents.
Generate and play multilingual text-to-speech audio using mlx-audio with Kokoro model. Use when user asks to hear pronunciation, speak text aloud, or wants audio for language learning. Supports 9 languages (Eng...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Using Codex CLI (`codex exec`) for testing and automation. Focus on gpt-5-codex with different reasoning efforts, web search, streaming, and multi-turn conversations.
Working with Claude Code features, debugging hooks, MCP integration, snippet verification, headless automation, and Agent SDK. Use this skill when the user asks about Claude Code features, hooks, memory, status...
Visualize subagent task dependencies using ASCII diagrams before launching agents and create comprehensive HTML summaries after completion.
Analyzes conversations to identify learnings, patterns, and techniques for capture in skills/snippets. Proposes updates or new skills, shows preview before changes. Use when user says "reflect", "what did we le...
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Artifacts are automatically saved to ~/Desktop/Artifacts...
Create interactive HTML artifacts for academic papers using parallel subagent processing. Includes comprehensive pre-submission review checklist for paper quality assurance.
Iterative parallel search strategy using WebSearch and Exa. Launch multiple searches simultaneously, learn from failures, and keep iterating until finding answers. Use for research, code examples, documentation...
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...
LLMのパフォーマンス、信頼性、制御性を本番環境で最大化するための高度なプロンプトエンジニアリング技術をマスターします。プロンプトの最適化、LLM出力の改善、または本番環境プロンプトテンプレートの設計時に使用します。
エージェント、メモリ、ツール統合パターンを備えたLangChainフレームワークを使用してLLMアプリケーションを設計します。LangChainアプリケーションの構築、AIエージェントの実装、または複雑なLLMワークフローの作成時に使用...
ベクトルデータベースとセマンティック検索を使用してLLMアプリケーションのためのRetrieval-Augmented Generation(RAG)システムを構築します。知識に基づいたAI、ドキュメントQ&Aシステムの構築、またはLLMと外部ナレッジベ...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。