great-prompt-anatomy
Essential framework for creating solid Veo 3 prompts. Use when constructing video prompts, validating prompt completeness, or teaching prompt structure. Defines 8 mandatory components (Subject, Setting, Action,...
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Essential framework for creating solid Veo 3 prompts. Use when constructing video prompts, validating prompt completeness, or teaching prompt structure. Defines 8 mandatory components (Subject, Setting, Action,...
Prepare detailed, professional prompts for Google Imagen 3/4 image generation. Supports character, environment, and object prompts using natural language with technical photography specifications. Extensible su...
Recommend who should do a task (Claude Code, Gemini, ChatGPT, Human, Taskmaster, MCPs) and generate handoff prompts.
Integrate OpenAI Agent SDK with Google Gemini backend into FastAPI service using the official Google Gemini API via OpenAI compatibility layer.
Add selection-based Q&A functionality to ChatKit UI allowing users to ask about highlighted text with proper integration.
Generate the complete RAG ingestion script to crawl textbook from sitemap.xml, chunk content, embed using Gemini, and push to Qdrant following MCP documentation.
Generate Hugging Face Spaces configuration files including runtime setup, environment variables, and deployment instructions.
Generate and maintain the FastAPI backend structure for the RAG chatbot with proper project organization.
Modify OpenAI ChatKit starter to use FastAPI backend instead of OpenAI API, including citation support and error handling.
Generate JSON schemas and Python handlers for Qdrant-based retrieval tools used by the RAG agent to search sitemap-crawled textbook content with URL citations.
Implement the /chat endpoint that performs agent-based RAG reasoning with proper input validation and response formatting.
Implement reusable embedding functions using Gemini embedding models via LangChain with proper error handling and batching for sitemap-crawled content.
Customize ChatKit layout, theme, and presentation for RAG textbook chatbot with proper styling and textbook theme integration.
Self-reference guide for Claude Code's own architecture, configuration, and extension points. Use when needing to know where Claude Code stores its configuration files, skills, plugins, hooks, MCP servers, sett...
Build Apify Actors (web scrapers) using Node.js and Crawlee. Use when creating new scrapers, defining input schemas, configuring Dockerfiles, or deploying to Apify. Triggers include apify, actor, scraper, crawl...
Ready-to-use prompt templates for specialized agents. Use when building n8n workflows, AI integrations, or sales materials. Contains structured prompts for automation-architect, llm-engineer, and sales-automato...
Sales qualification and client discovery. Use when starting a new client engagement, qualifying leads, identifying pain points, or calculating ROI for automation proposals. Generates discovery forms, qualificat...
Guide for creating effective Claude Code skills. Use when users want to create a new skill, update an existing skill, package a skill for distribution, or need guidance on skill structure and best practices. Tr...
Better proposals, faster closes. Use when creating AI agent pricing, automation proposals, ROI calculations, or sales materials. Generates professional pricing pages, case studies, and closing scripts for AI au...
Use when creating new skills, improving existing skills, or when the user requests help with skill authoring. Creates optimized Claude Code skills (SKILL.md files) following official best practices for descript...
Standards for writing CLAUDE.md and modular rules files (.claude/rules/) that maximize LLM execution efficiency. Use when creating or editing project instructions, defining conventions, or optimizing agent beha...
Invoke this skill first when authoring any AI agent instructions. Foundational principles for writing LLM instructions (skills, CLAUDE.md, rules, commands). Covers token economics, imperative language, formatti...
This skill should be used when the user asks to "generate an image", "create project images", "make illustrations", "generate icons", "create visual assets", "use Gemini for images", "generate with nono banana"...
Automatically designs, initializes, implements, validates, and packages new skills from a single high-level request. Use when the user gives a short, possibly vague description like "社内Redshift向けのSQLヘルパ...
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。