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Discover and install AI Agent skills
Showing 1-20 of 8306 skills
tavily-search-pro
Tavily AI search platform with 5 modes: Search (web/news/finance), Extract (URL content), Crawl (website crawling), Map (sitemap discovery), and Research (deep research with citations). Use for: web search with LLM answers, content extraction, site crawling, deep research.
engram
Persistent semantic memory layer for AI agents. Local-first storage (SQLite+LanceDB) with Ollama embeddings. Store and recall facts, decisions, preferences, events, relationships across sessions. Supports memory decay, deduplication, typed memories (5 types), memory relationships (7 graph relation types), agent/user scoping, semantic search, context-aware recall, auto-extraction from text (rules/LLM/hybrid), import/export, REST API, MCP protocol. Solves context window and compaction amnesia. Server at localhost:3400, dashboard at /dashboard. Install via npm (engram-memory), requires Ollama with nomic-embed-text model.
skill-creator
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.
agent-browser
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
skill-self-improvement
Self-improvement for MoltBot skills. Create, review, and improve own skills with quality control. Git-managed like Claude Code.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
openclaw-setup
Set up a complete OpenClaw personal AI assistant from scratch using Claude Code. Walks through AWS provisioning, OpenClaw installation, Telegram bot creation, API configuration, Google Workspace integration, security hardening, and all power features. Give this to Claude Code and it handles the rest.
yahoo-finance-forex
Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR/USD, GBP/USD, USD/JPY, etc.). Analyzes sentiment and provides trading context.
market-environment-analysis
Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.
vwap-trading
Trade using Volume Weighted Average Price for intraday fair value. Use when determining institutional price levels, finding intraday support/resistance, or identifying mean reversion opportunities.
leverage-management
Use leverage safely based on volatility and account size. Use when trading derivatives, managing margin, or sizing leveraged positions.
sentiment-analysis
Analyze news sentiment and social indicators for trading signals. Use when gauging market mood, confirming technical signals, or identifying contrarian opportunities.
crypto-market-analyzer
Cryptocurrency market analysis for Bitcoin and Ethereum. Fetches 4h (24h) and 1d (30-day) data from Binance API, calculates technical indicators (RSI, SMAs, support/resistance), and provides bullish/bearish sentiment analysis with reasoning. Use when user asks for crypto market reports, BTC/ETH analysis, or daily market summaries.
portfolio-manager
Comprehensive portfolio analysis using Alpaca MCP Server integration to fetch holdings and positions, then analyze asset allocation, risk metrics, individual stock positions, diversification, and generate rebalancing recommendations. Use when user requests portfolio review, position analysis, risk assessment, performance evaluation, or rebalancing suggestions for their brokerage account.
technical-indicators
Technical analysis with TA-Lib - Moving averages, RSI, MACD, Bollinger Bands, Stochastic, ATR, candlestick patterns, and strategy signals using OpenAlgo market data
trading-analyzer
Multi-source trading analyzer (`/drunk-trading-analyzer`) combining crypto data (TradingView), stock data (Alpha Vantage), and market intelligence (Yahoo Finance) into unified analysis reports with price trends, technical indicators, and sentiment analysis.
stock-copilot-pro
High-performance global stock analysis copilot powered by QVeris. Fuses quote, fundamentals, technicals, news sentiment, and X sentiment with adaptive tool learning for higher success and better signal quality.
stock-info-explorer
A Yahoo Finance (yfinance) powered financial analysis tool. Get real-time quotes, generate high-resolution charts with moving averages + indicators (RSI/MACD/Bollinger/VWAP/ATR), summarize fundamentals, and run a one-shot report that outputs both a text summary and a Pro chart.
email-daily-summary
Automatically logs into email accounts (Gmail, Outlook, QQ Mail, etc.) and generates daily email summaries. Use when the user wants to get a summary of their emails, check important messages, or create daily email digests.
node-llm-web-automation
Build or update Node.js + LLM API workflows that replace Codex/MCP UI exploration for web automation at lower cost. Use when a user asks to productize page-structure discovery into a Node runner (Puppeteer/Playwright) with LLM-based element selection, deterministic playback control, cost controls, logging, and fallback paths.
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