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Personal developer portfolio built with React + TypeScript + Tailwind CSS. Showcases projects spanning autonomous drone swarms, AI-powered M&A due diligence, cardiovascular risk prediction, and full-stack ML systems. Deployed on Vercel.

50+ battle-tested AI agent personality templates. For CrewAI, AutoGen, LangGraph, or raw LLM calls.

Hugging Face Space: olimjon2603/claude_helmet. SDK: static. Likes: 1.

Multi-agent ATS resume optimizer — 4 CrewAI agents rewrite and score your resume against any job description

这是一个多分支超级助手工作流，能根据用户问题类型，自动分发到不同模块处理： 1. 日常问答：用GPT回答生活常识、闲聊和实用建议； 2. 文案优化：润色、扩写用户文案，优化后不少于500字； 3. 图片生成：调用豆包文生图工具，根据用户描述生成图片； 4. 生活服务：调用高德地图MCP工具，处理路线、地点、天气查询。

Connect to external services through Maton-managed API routes. Use this skill only after the user names the target app, account, and task. Start with read/li...

Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...

🌌 Local-first multi-agent task orchestrator dashboard powered by Next.js 15, FastAPI, CrewAI, and local LLMs.

AI-powered Automated EDA Report Generator using CrewAI multi-agent framework + OpenAI GPT-4o. Generates HTML & PDF reports with charts.

一款基于 Dify 构建的闭环式 AI 面试与自动评估助手。 核心功能： 多路问题动态生成：分析候选人背景与岗位，智能产出针对性开放问题。 渐进式匹配应答：严密捕获候选人的碎片式回答，支持缺答追问，确保数据收集完整。 闭环循环评估（STAR原则）：自动检索岗位标准，解构候选人回答，并按 1-5 分的标准输出多维度 HR 评分与改进建议。

Turn every AI agent action into independently verifiable evidence. The agent returns an allow or deny decision, Asqav cryptographically signs the decision and the action into an audit trail, and the workflow verifies that signature in the same run. Asqav also supports multi-party signing and organization-wide governance.

This workflow acts as an automated cybersecurity analyst. It triggers upon receiving an incident report via webhook, classifies the type of threat, performs a real-time web search for the latest intelligence on the identified malware or vulnerability, and uses an LLM to generate a comprehensive technical report with mitigation recommendations. This tool is ideal for SOC teams needing to rapidly analyze incoming security alerts without manual research.

CrewAI multi-agent research assistant with FastAPI, Streamlit, Redis memory, Tavily search, and markdown reports

InfraPilot is an autonomous AI deployment engineer that analyzes repositories, selects infrastructure, deploys applications, monitors logs, fixes deployment failures automatically, and self-heals production systems across platforms like Vercel, Railway, Render, and Supabase.

Production-ready CrewAI + Mistral AI multi-agent workflow demo featuring autonomous research and writing agents powered by mistral-large-latest.

Production-ready enterprise architectures, multi-agent orchestrations, and memory fabrics built with LangGraph and CrewAI. Developed as part of the advanced GenAI & Agentic AI Course in Electronic City at eMexo Technologies to master autonomous automation.

Setup & Instructions — fluidX: Create Session, Analyze & Notify Goal: This workflow demonstrates the full fluidX THE EYE integration — starting a live session, inviting both the customer (via SMS) and the service agent (via email), and then accessing the media (photos and videos) created during the session. Captured images are automatically analyzed with AI, uploaded to an external storage (such as Google Drive), and a media summary for the session is generated at the end. The agent receives an email with a link to join the live session. The customer receives an SMS with a link to start sharing their camera. Once both are connected, the agent can view the live feed, and the system automatically stores uploaded images and videos in Google Drive. When the session ends, the workflow collects all media and creates a complete AI-powered session summary (stored and updated in Google Drive). Below is an example screenshot from the customer’s phone: Prerequisites Developer account:* https://live.fluidx.digital (activate the *TEST plan**, €0) API docs (Swagger):** fluidX.digital API 🔐 Required Credentials 1️⃣ fluidX API key (HTTP Header Auth) • Credential name in n8n: fluidx API key • Header name: x-api-key • Header value: YOUR_API_KEY 2️⃣ SMTP account (for outbound email) • Credential name in n8n: SMTP account • Configure host, port, username, and password according to your provider • Enable TLS/SSL as required 3️⃣ Google Drive account • Used to store photos, videos, and automatically update the session summary files. 4️⃣ OpenAI API (for AI analysis & summary) •Used in the Analyze Images (AI) and Generate Summary parts of the workflow. • Credential type: OpenAI • Credential name (suggested): OpenAI account • API Key: your OpenAI API key • Model: e.g. gpt-4.1, gpt-4o, or similar (choose in the OpenAI node settings) ⚙️ Configuration (in the “Set Config” node) BASE_URL: https://live.fluidx.digital company / project / billingcode / sku: adjust as needed emailAgent: set before running (empty in template) phoneNumberUser: set before running (empty in template) Flow Overview Form Trigger → Create Session → Set Session Vars → Send SMS (User) → Send Email (Agent) → Monitor Media → Analyze Images (AI) → Upload Files to Google Drive → Generate Summary → Update Summary File The workflow starts automatically when a Form submission is received. Users enter the customer’s phone number and agent’s email, and the system creates a new fluidX THE EYE session. As media is uploaded during the session, the workflow automatically retrieves, stores, analyzes, and summarizes it — providing a complete end-to-end automation example for remote inspection, support, or field-service use cases. Notes Do not store real personal data inside the template. Manage API keys and secrets via n8n Credentials or environment variables. Log out of https://live.fluidx.digital in the agent’s browser before testing, to ensure a clean invite flow and session creation.

This n8n template automates intraday trading insights by combining candlestick pattern analysis and news sentiment aggregation to suggest actionable Buy / Sell / Hold decisions across international stock markets. Use cases Automatically analyze stock trends using live candlestick data. Aggregate real-time news sentiment to strengthen trading confidence. Generate AI-backed Buy / Sell / Hold recommendations for traders. Build an automated Telegram trading assistant or analytics bot. Create a backend for AI-powered portfolio advisors or trading dashboards. Good to know This workflow integrates both market and news APIs, processes data intelligently, and leverages an Gemini AI for trading recommendations. It runs smoothly on both n8n Cloud and self-hosted instances, and setup typically takes 10–15 minutes. Requirements n8n Cloud or self-hosted instance TwelveData API key (for fetching OHLC & candlestick data) → twelvedata.com NewsAPI.org key (for aggregating relevant stock news) → newsapi.org AI model API key (Google Gemini or OpenAI) for sentiment reasoning Telegram Bot Token (via @BotFather) for command input & output Customising this workflow Replace Telegram with Slack, Discord, or Notion for alternate alerts. Integrate TradingView or Alpaca API for executing mock trades. Modify the candlestick intervals (1m, 15m, 1h) or patterns as per strategy. Add portfolio tracking or alert thresholds for advanced users. Expand to cover crypto, forex, or commodities with minimal edits.

This n8n template automates the collection, storage, and summarization of technology news and discussions from the n8n Community and Reddit (r/n8n). If you like staying informed but want to reduce daily manual browsing distractions, this workflow is perfect for you. How it works User Intent Detection:* The workflow receives your Telegram message and uses an *AI Agent** (powered by Gemini/Groq) to intelligently classify your intent (Search, Deep-dive, or Casual Chat). Multi-Platform Scraping:* Automatically fetches the latest discussions, topics, and comments from the official *n8n Community* and *Reddit** via HTTP Requests. Smart Summarization:** Extracts complex HTML content and uses the AI to provide concise overviews, or deep-dives into specific forum threads with full contextual history. Seamless Delivery:** Formats the AI's response into clean, chunked Telegram messages (handling limits smoothly) and delivers it straight to your chat. Daily Pulse:** A scheduled trigger automatically aggregates the hottest topics every morning to keep you updated. How to use Connect your Telegram Bot account to n8n. Connect your Google Gemini and Groq API credentials. (Optional) Connect your MongoDB instance if you want to enable long-term persistent chat memory. Update the Chat ID in the Telegram nodes to route the scheduled Daily Pulse directly to your personal account or group. Activate the workflow and start messaging your new AI assistant. Requirements n8n Version:* Built and tested on *n8n 2.9.4+*. *(Note: You may encounter errors on older versions. It is highly recommended to update to the latest n8n version to use this workflow effectively). Telegram** Bot token. Google Gemini* & *Groq** API keys. (Optional) MongoDB connection string. Customizing this workflow Change the AI Model:** Swap the Gemini or Groq nodes for OpenAI, Claude, or any other supported LLM. Expand the Sources:** Duplicate the HTTP Request nodes and adjust the HTML extractors to monitor other platforms like Discord or StackOverflow. Adjust the Schedule:** Prefer chat over daily emails? Change the Cron expression to receive weekly summaries or disable it entirely to rely purely on on-demand Telegram queries. About the Author Created by: Nguyen Thieu Toan (Jay Nguyen) Email: [email protected] Website: nguyenthieutoan.com Company: CEO/Founder of GenStaff (genstaff.net) - AI Staffing Solutions Socials (Facebook / X / LinkedIn): @nguyenthieutoan More templates: n8n.io/creators/nguyenthieutoan

This n8n template automates crypto market analysis by combining multi-timeframe candlestick data with real-time news sentiment to generate actionable AI-backed Buy / Sell / Hold signals for any cryptocurrency. Built around the Kaizen principle of continuous improvement, it delivers sharper, more reliable insights with every run. Use cases Automatically analyze crypto market trends using 15m, 1h, and 1d candlestick data. Aggregate global crypto news sentiment to reinforce price-action confidence. Generate AI-powered Buy / Sell / Hold recommendations for traders. Build your own Telegram-based crypto trading assistant or analytics bot. Create backends for crypto dashboards, portfolio advisors, or auto-alert systems. Expand trading strategies using AI reasoning instead of manual analysis. Good to know This workflow merges both technical analysis (candlesticks) and fundamental sentiment (news), then passes them through an AI model (Gemini) to produce clean, easy-to-understand trading signals. It works seamlessly on n8n Cloud and self-hosted setups, with configuration taking about 5 minutes. Requirements n8n Cloud or self-hosted instance Crypto price data API key Crypto news API key AI model API key (Google Gemini) Telegram Bot Token (via @BotFather) Customising this workflow Replace Telegram with Slack, Discord, WhatsApp Cloud API, or Notion for alerts. Switch AI models (Gemini, OpenAI, Claude) to change tone or reasoning style. Modify candlestick intervals (15m, 1h, 1d) or add more timeframes. Attach TradingView webhooks for live alerts or automated triggers. Add portfolio tracking, price-level alerts, or risk scoring for advanced users. Expand the template to support forex, stocks, indices, or commodities with minimal edits.

Basic Workflow Template. A chatbot with a knowledge base.

自然言語のクエリ要件とターゲットデータベースを入力すると、対応するSQL文を生成します。

Extract frames or short clips from videos using ffmpeg.

The AI Deliberation System requires a specific multi-agent setup within Dify Studio. Ensure you have access to LLM models capable of analytical reasoning (e.g., GPT-4o, Claude 3.5, or similar).

I am a YouTube Channel Data Analysis Copilot, I am here to provide expert data analysis tailored to your needs.

「感情論を一切排除する」という冷徹な方針で設計された、三審制の合議シミュレーターです。このシステムはマルチエージェントフレームワークを活用し、検察・弁護・裁判官のLLMによる法廷論争をシミュレートします。ユーザーから入力されたチャットログなどの矛盾を厳格に精査し、客観的で多角的な判決を下します。意思決定の最適化やバイアスの排除、深い論理分析に最適です。

多系统联动，一句话完成专业招聘信息撰写、岗位招聘市场情况分析等多项工作； 快速分析候选人简历和岗位的匹配度，挖掘底层潜力； 支持飞书等工作软件，支持官网简投递自动分析、招聘信息表格自动填写、人才分析自动记录； 绘制候选人招聘画像，搭建真正的人才管理库； 部门招聘偏好记录分析，提升部门沟通效率，再也不用猜测用人部门的喜好。

Full-stack AI app (React 19 + FastAPI + Claude API) that parses resumes and job descriptions, computes a deterministic weighted match score (0–100), and generates targeted feedback. Deployed on Vercel + Railway.

Preview Deployments for AI Agents — a product prototype for Vercel's Agent Platform

Voice AI agent built with Next.js. It delivers a fast, optimized interface with real-time updates, automatic font optimization, and seamless deployment on Vercel, providing a scalable foundation for voice-driven AI interactions and intelligent user experiences.