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⏳ Async Sequential Task-Solving ↗
Handles asynchronous task-solving in a sequence of chats
♟️ Conversational Chess with Nested Chats ↗
Uses nested chats for playing conversational chess with tools
⚖️ Legal Document Analysis Agent ↗
Analyzes legal PDFs and provides insights using vector embeddings
✅ Markdown Validator ↗
Validates Markdown files for proper formatting
🌐 Landing Page Generator ↗
Automates creation of landing pages for websites
🌐 Web Search: Solve Tasks Requiring Web Info ↗
Searches the web to gather information for completing tasks
🍳 Recipe Creator ↗
Personalized recipes based on ingredients and preferences
🎁 Surprise Trip Planner ↗
Plans surprise trips based on user preferences
🎓 Research Scholar Agent ↗
Advanced academic searches, publication analysis, structured reports
🎥 YouTube Agent ↗
Analyzes YouTube videos: summaries, timestamps, themes
🎨 Multimodal Agent with DALLE and GPT-4V ↗
Combines DALLE and GPT-4V for multimodal agent communication
🎬 Movie Recommendation Agent ↗
Personalized movie recommendations using Exa and GPT-4o
🎬 Screenplay Writer ↗
Aids in writing screenplays with templates and guidance
🎮 Game Builder Crew ↗
Assists in game development by automating aspects of creation
🏗️ Auto Build Multi-agent System with AgentBuilder ↗
Automatically builds multi-agent systems
🏠 Home Assistant via MCP protocol ↗
The skill for control Home Assistant smart home devices and query states using MCP protocol.
🏠 MCP Airbnb Agent ↗
Search Airbnb listings with MCP and Llama 4
🏭 OptiGuide Supply Chain with Nested Chats ↗
Solves supply chain optimization using nested chats
💹 Stock Analysis Tool ↗
Provides tools for analyzing stock market data
📄 Feishu Doc Manager | 飞书文档管理器 ↗
📄 Feishu Doc Manager | Feishu Doc Manager publish Markdown content to Feishu Docs with automatic formatting. Solves key pain points: Markdown table conversion, permission management, batch writing.
📈 Lead Score Flow ↗
Evaluates and scores potential leads to prioritize outreach
📊 AgentEval: Multi-Agent Assessment System ↗
Evaluating LLM-based application utility
📊 Data Visualization by Group Chat ↗
Uses multi-agent collaboration to create data visualizations
📊 Finance Agent (Thinking) ↗
Real-time stock insights, analyst recommendations, financial deep-dives
📊 Marketing Strategy Generator ↗
Develops marketing strategies by analyzing market trends
📊 SQL: Natural Language to SQL Query ↗
Converts natural language inputs into SQL queries
📊 Track LLM Calls and Errors using AgentOps ↗
Monitors LLM interactions, tool usage, and errors
📐 Task Solving with Graph Transition Paths ↗
Uses predefined transition paths in a graph for solving tasks
📚 Book Recommendation Agent ↗
Personalized book suggestions using literary data and reader preferences
📚 RAG Group Chat ↗
Enables group chat with Retrieval Augmented Generation
📚 Study Partner ↗
Finds resources, answers questions, creates study plans
📚 Write a Book with Flows ↗
Assists authors with structured writing workflows
📝 Job Posting Generator ↗
Creates job postings by analyzing job requirements
📝 Meeting Assistant Flow ↗
Organizes meetings, scheduling and agenda preparation
📧 Email Auto Responder Flow ↗
Automates email responses based on predefined criteria
📸 Instagram Post Generator ↗
Generates and schedules Instagram posts automatically
🔁 Extraction with Retries ↗
Retry mechanisms for robust data extraction
🔄 Recruitment Workflow ↗
Streamlines recruitment by automating hiring tasks
🔄 Self Evaluation Loop Flow ↗
Facilitates self-assessment for performance reviews
🔄 Sequence of Nested Chats ↗
Demonstrates sequential task-solving using nested chats
🔄 Sequential Task-Solving (single initiating agent) ↗
Automates sequential task-solving with a single initiating agent
🔊 Agent Chat with Whisper ↗
AI agent for transcription and translation using Whisper
🔍 Match Profile to Positions ↗
Matches candidate profiles to suitable job positions
🔍 Media Trend Analysis Agent ↗
Analyzes emerging trends and influencers from digital platforms
🔗 CrewAI + LangGraph Integration ↗
Integration between CrewAI and LangGraph
🔧 Group Chat with Custom Speaker Selection ↗
Implements a custom function for speaker selection
🔧 Use Provided Tools as Functions ↗
Demonstrates how to use pre-provided tools as callable functions
🖌️ Multimodal Agent with Llava ↗
Uses Llava for multimodal agent conversations
🖼️ Multimodal Agent with GPT-4V ↗
Leverages GPT-4V for visual and conversational interactions
🗂️ Prep for a Meeting ↗
Prepares meeting materials and sets agendas
🗺️ Trip Planner ↗
Assists in planning trips with itineraries
🤔 DeepKnowledge ↗
Iterative search through knowledge base with deep reasoning
🤖 Agentic RAG ↗
Agent determines best retrieval strategy before generating response
🤖 Agno Assist Agent ↗
GPT-4o agent for Agno framework Q&A with hybrid search
🤖 Automated Task Solving with Code Gen, Execution & Debugging ↗
Demonstrates automated task-solving by generating, executing, and debugging code
🤖 Chatbot Simulation Evaluation ↗
Simulate user interactions to evaluate chatbot performance
🤖 NVIDIA Models Integration ↗
Integrates NVIDIA AI models into workflows
🤖 Readme Generator Agent ↗
Generates high-quality READMEs for GitHub repos
🤖 Support Agent ↗
Real-time answers, explanations, and code examples for Agno framework
🤝 Group Chat (3 members, 1 manager) ↗
Demonstrates group task-solving via multi-agent collaboration
🤝 Multi-Agent Collaboration ↗
Multiple specialized agents working together on complex tasks
🤝 Sequential Chats with Different Initiating Agents ↗
Sequential task-solving with different agents initiating each chat
🧑💻 Code Generation and Q&A with Retrieval Augmented Agents ↗
Generates code and answers questions using retrieval-augmented methods
🧑💻 Task Solving with Coding & Planning Agents ↗
Combines coding and planning agents for solving tasks
🧑💼 Customer Support Agent ↗
Graph-based agent for handling customer inquiries
🧠 Adaptive RAG ↗
Dynamic retrieval adjusting based on query complexity
🧠 Adaptive RAG (Local) ↗
Adaptive RAG with local models for offline use
🧠 Code Assistant with LangGraph ↗
Resilient code assistant with error checking and iterative refinement
🧠 Code Generation and Q&A with Qdrant-based Retrieval ↗
Utilizes Qdrant for enhanced retrieval-augmented agent performance
🧠 Corrective RAG (CRAG) ↗
Evaluates and refines retrieved documents before generation
🧠 Financial Reasoning Agent ↗
Claude 3.5 Sonnet-based stock analysis with Yahoo Finance data
🧠 Hierarchical Agent Teams ↗
Top-level supervisor delegates to specialized sub-agents
🧠 Information Gathering via Prompting ↗
LangGraph workflow using prompting to gather information
🧠 Meta Quest Knowledge ↗
Manages Meta Quest knowledge for information retrieval
🧠 Multi-Agent Workflow (Supervisor) ↗
Supervisor agent orchestrating multiple specialized agents
🧠 Plan-and-Execute Agent ↗
Agent generates multi-step plan then executes sequentially
🧠 Reflection Agent ↗
Agent critiques and revises its own outputs
🧠 Reflexion Agent ↗
Agent reflects on actions for iterative improvement
🧠 Research Agent ↗
Deep investigations, NYT-style reports
🧠 Self-RAG ↗
System reflects on responses and retrieves additional info if needed
🧠 Self-RAG (Local) ↗
Self-RAG using local models and data sources
🧠 SocietyOfMindAgent Inner-Monologue ↗
Simulates inner-monologue for problem-solving using group chats
🧠 Solving Complex Tasks with Nested Chats ↗
Uses nested chats to solve hierarchical and complex problems
🧠 SQL Agent ↗
Agent answers questions about SQL databases
🧩 Complex Task Solving by Group Chat (6 members) ↗
Solves complex tasks collaboratively with a larger group
🛍️ Shopping Partner Agent ↗
Product recommender based on preferences from Amazon, Flipkart
🛍️ 淘宝/京东/拼多多比价技能 ↗
Commodity price matching skills, best prices, coupons, best prices for commodities in Taobao, TTMall, JD.com, PinDuo Duo, Douyin, KaiShou
🛠️ Starter Template ↗
Starter template for new CrewAI projects
0mlkrizzz655335v/claude-skills-zh ↗
56 production-ready AI agent skills for Claude Code / Codex — including the only systematic set of 8 Chinese writing skills: de-AI-flavor rewriting, academic polishing, research-paper argumentation, fiction writing.
0ss/ship ↗
🚢 Be as messy as you actually are.
0trm/gallop ↗
Statistics libraries assume you already know which question you are answering. Product management skill packs know which question matters and carry no statistics. With gallop, every question passes routing first before any query runs, and goes to one of three method buckets, on a measurement floor and under a knowledge ceiling.
0x61A/frontend-dev-skill ↗
A Claude Code skill that builds frontends that don't look AI-generated: every site gets a one-off Design DNA, gets checked against a catalog of known "AI look" patterns, ships with full on-page SEO, and must pass a screenshot self-critique loop before it's called done.
0x61A/fullstack-pro-max ↗
13-module Claude Code skill for shipping a full web product: backend, security, SEO, ads, AI integration, analytics, email, i18n & more — stdlib-only
0x7067/claude-jev ↗
Stop paying frontier-model prices for small judgments.
0xArchiveIO/0xarchive-skill ↗
Agent-ready 0xArchive market data prompts with no runtime dependency beyond curl and jq.
0xc000022070/agentic-flake ↗
Composable agent skills and project-scoped environments for Nix.