提示词
提示词工程与模板
claude-reflect
jeremylongshore
Execute self-learning system that captures corrections during sessions and syncs them to CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something. Trigger with phrases like "remember this", "don't forget", "use X not Y", or "actually...".
skill-creator
Project-N-E-K-O
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 tool integrations.
prompt-lab
Mathews-Tom
'LLM prompt engineering: analyzes failure modes, generates variants (direct, few-shot, CoT), designs rubrics, produces test suites. Triggers on: "prompt engineering", "generate prompt variants", "A/B test prompts", "optimize prompt", "improve this prompt". NOT for SKILL.md files, use skill-evaluator.'
to-markdown
Mathews-Tom
'Convert any file or URL to clean Markdown: PDF, DOCX, XLSX, PPTX, HTML, images (OCR), audio, CSV, YouTube. Optimised for LLM pipelines. Triggers on: "convert to markdown", "extract text from PDF", "parse this document", "ingest for RAG".'
my-skill
LukeRenton
What this skill does and when to use it. Claude reads this to decide relevance. Include keywords users would naturally say.
Agent Repo Init Skill
study8677
For full mode, review .context/agent_runtime_profile.md after generation.
add-model-price
langfuse
Add new LLM model pricing entries to Langfuse's default-model-prices.json. Use when adding model prices, updating model pricing, creating model entries, adding Claude/OpenAI/Anthropic/Google/Gemini/AWS Bedrock/Azure/Vertex AI model pricing, working with matchPattern regex, pricingTiers, or model cost configuration. Covers model price JSON structure, regex patterns for multi-provider matching, tiered pricing with conditions, cache pricing, and validation rules.
image-generation
jjyaoao
Implement AI image generation capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to create images from text descriptions, generate visual content, create artwork, design assets, or build applications with AI-powered image creation. Supports multiple image sizes and returns base64 encoded images. Also includes CLI tool for quick image generation.
Podcast Generate
jjyaoao
Generate podcast episodes from user-provided content or by searching the web for specified topics. If user uploads a text file/article, creates a dual-host dialogue podcast (or single-host upon request). If no content is provided, searches the web for information about the user-specified topic and generates a podcast. Duration scales with content size (3-20 minutes, ~240 chars/min). Uses z-ai-web-dev-sdk for LLM script generation and TTS audio synthesis. Outputs both a podcast script (Markdown) and a complete audio file (WAV).
video-understand
jjyaoao
Implement specialized video understanding capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to analyze video content, understand motion and temporal sequences, extract information from video frames, describe video scenes, or perform video-based AI analysis. Optimized for MP4, AVI, MOV, and other common video formats.
videocut:自进化
Ceeon
自进化 skills。记录用户反馈，更新方法论和规则。触发词：更新规则、记录反馈、改进skill
developing-with-ai-sdk
laravel
Builds AI agents, generates text and chat responses, produces images, synthesizes audio, transcribes speech, generates vector embeddings, reranks documents, and manages files and vector stores using the Laravel AI SDK (laravel/ai). Supports structured output, streaming, tools, conversation memory, middleware, queueing, broadcasting, and provider failover. Use when building, editing, updating, debugging, or testing any AI functionality, including agents, LLMs, chatbots, text generation, image generation, audio, transcription, embeddings, RAG, similarity search, vector stores, prompting, structured output, or any AI provider (OpenAI, Anthropic, Gemini, Cohere, Groq, xAI, ElevenLabs, Jina, OpenRouter).
phoenix-cli
Arize-ai
Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, inspect datasets, and query the GraphQL API. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.
cortex-integrate
jeremylongshore
Design and implement an AI feature integration — model selection, architecture pattern, system prompt, data flow, error handling, cost estimate. Use when asked to "add AI to this", "LLM integration", "add Claude/GPT", or "AI-powered feature".
geo-optimization
fabricioctelles
This skill should be used when the user wants to improve content visibility in AI-generated responses (ChatGPT, Perplexity, Google AI Overview, Grok, Claude, Gemini), needs a GEO/AEO strategy, wants to measure citation rate, align terminology for LLMs, audit existing pages for AI discoverability, or create optimized pages such as roundups and FAQs.
wewrite
wengzige
微信公众号内容全流程助手：热点抓取 → 选题 → 框架 → 写作 → SEO/去AI痕迹 → 视觉AI → 排版推送草稿箱。 触发关键词：公众号、推文、微信文章、微信推文、草稿箱、微信排版、选题、热搜、 热点抓取、封面图、配图、写公众号、写一篇、主题画廊、排版主题、容器语法。 也覆盖：markdown 转微信格式、学习用户改稿风格、文章数据复盘、风格设置、 主题预览/切换、:::dialogue/:::timeline/:::callout 容器语法。 不应被通用的"写文章"、blog、邮件、PPT、抖音/短视频、网站 SEO 触发—— 需要有公众号/微信等明确上下文。
wewrite
wengzige
微信公众号内容全流程助手：热点抓取 → 选题 → 框架 → 写作 → SEO/去AI痕迹 → 视觉AI → 排版推送草稿箱。 触发关键词：公众号、推文、微信文章、微信推文、草稿箱、微信排版、选题、热搜、 热点抓取、封面图、配图、写公众号、写一篇、主题画廊、排版主题、容器语法。 也覆盖：markdown 转微信格式、学习用户改稿风格、文章数据复盘、风格设置、 主题预览/切换、:::dialogue/:::timeline/:::callout 容器语法。 不应被通用的"写文章"、blog、邮件、PPT、抖音/短视频、网站 SEO 触发—— 需要有公众号/微信等明确上下文。
instructor
NousResearch
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
muapi-ai-fight-scene
SamurAIGPT
Generate a high-cut-density action / fight scene by first composing a 16-cell storyboard image, then driving Seedance 2.0 image-to-video off that storyboard. Stacks GPT-Image-2 (character sheet + storyboard), Nano-Banana-2 (environment concept), and Seedance 2.0 i2v.
viral-video-replicator
dingtom336-gif
"视频逆向复刻 — 分析参考视频(FFmpeg帧提取+Vision LLM) + 生成复刻Seedance 2.0 Prompt + 4种素材替换模式。支持单个和批量。Use when: '复刻这个视频', '分析爆款视频', 'replicate this video', '视频逆向', '反编译视频', '批量分析视频'. Do NOT use for creating from scratch — use fashion-video-creator instead."
Math-To-Manim
HarleyCoops
This skill should be used when the user asks to "create a math animation", "animate a mathematical concept", "generate Manim code", "visualize [topic] with animation", "explain [concept] visually", "create an educational video", "build a Manim scene", or mentions "reverse knowledge tree", "prerequisite discovery", or "verbose prompt generation". Provides a complete six-agent workflow for transforming any concept into professional Manim animations through recursive prerequisite discovery.
lcm-dogfood
lossless-claude
Exercise a live lcm install (installed plugin, real summarizer, the user's own data) and report a scorecard. Usage: /lcm-dogfood [health capture import compact sensitive mcp integrity]
claude-code-plugins
melodic-software
"Dispatch deep external research to the heaviest isolated execution tier available — a workflow engine, an isolated subagent, or inline as last resort — keeping the main conversation clean while the full research discipline runs. Itself runs in main context, the only place both the Workflow tool (absent from every non-fork subagent) and a dependable Agent spawn are guaranteed. Use when: 'deep research', 'research these N topics', 'broad multi-source research', 'compare these tools thoroughly', 'migration research', 'exhaustive research on X'; for a single small lookup use the research skill directly, which already dispatches its own subagent."
claude-agent-sdk-ruby
ya-luotao
Use when writing or refactoring Ruby code that integrates Claude Code via the claude-agent-sdk gem (ClaudeAgentSDK.query, ClaudeAgentSDK::Client, streaming input, ClaudeAgentOptions configuration including global defaults via ClaudeAgentSDK.configure, tools/permissions, MCP servers, hooks, structured output, budgets, sandboxing, betas/tools presets, control-timeout handling, session resumption/rewind, and Rails patterns like jobs or ActionCable).