Email Finder
Find email addresses for a domain by combining website scraping, search dorking, pattern guessing, DNS analysis, and SMTP verification. Use when prospecting...
Real OpenClaw skills, parsed from public source files. No mock records, no fabricated metrics.
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Find email addresses for a domain by combining website scraping, search dorking, pattern guessing, DNS analysis, and SMTP verification. Use when prospecting...
Create KSVC-validated Twitter content from research PDFs. Content types: long threads, quick takes, breaking news, shitposts, personal commentary, victory la...
AI学术导师:论文精读、文献分析与写作润色助手。适用于:(1) 用户上传论文PDF/Word需要提取核心观点;(2) 多篇文献对比分析、识别研究空白;(3) 英文学术写作润色与语法检查;(4) 解释复杂学术概念。触发短语:精读论文、文献综述、研究空白、润色英文、学术写作、论文分析。
Cloud knowledge backup and retrieval using Supermemory.ai free tier. Store high-value insights to the cloud and search them back when local memory is insuffi...
General-purpose X/Twitter research agent. Searches X for real-time perspectives, dev discussions, product feedback, cultural takes, breaking news, and expert...
Teamo Lite Offline efficiently plans tasks by choosing between quick fact-based Q&A or in-depth content creation and research workflows based on user needs.
Full AI agent memory stack — Mem0 unified memory engine with vector search (Qdrant) and knowledge graph (Neo4j), plus SQLite for structured data. Complete se...
Multi-tier Perplexity search with Langfuse tracing. Three depth levels: quick (sonar), pro (sonar-pro), deep (sonar-reasoning-pro). Supports focus modes: int...
Research and summarize what happened in the last N days (or a date range) about a topic, optionally using Reddit API and X ingestion via x-cli/API/archive wi...
Conduct tiered social media research on Twitter and web sources, compiling insights into structured briefings without requiring API keys for basic access.
Semantic knowledge base allowing ingest, search, and retrieval of saved texts, URLs, and files using embeddings and SQLite.
Generates a batch arXiv report by combining model-written templates with brief conclusions and abs URLs extracted from per-paper summary.md files.
Convert PDFs and documents to markdown, index them locally for RAG retrieval, and analyze them token-efficiently. Use when asked to: read/analyze/summarize a...
Smart money research via Fomo social graph. Track top traders, monitor live trades, build watchlists — all from your agent. Powered by fomo.family, built by...
Generate structured competitive analysis reports with feature comparisons, pricing analysis, SWOT, and strategic recommendations. Use when analyzing competitors, creating market research reports, or delivering competitive intelligence for clients.
Use Perplexity API for web-grounded AI search. Use when user needs up-to-date information with source citations, factual queries about current events, or research-style answers. Default when user mentions Perplexity or needs current information with references.
Prepares briefing docs so you walk into every meeting ready
Mema's personal brain - SQLite metadata index for documents and Redis short-term context buffer. Use for organizing workspace knowledge paths and managing ep...
Analyzes conversation history, extracts user preferences and feedback, updates memory files automatically.
Multi-model peer review layer using local LLMs via Ollama to catch errors in cloud model output. Fan-out critiques to 2-3 local models, aggregate flags, synthesize consensus. Use when: validating trade analyses, reviewing agent output quality, testing local model accuracy, checking any high-stakes Claude output before publishing or acting on it. Don't use when: simple fact-checking (just search the web), tasks that don't benefit from multi-model consensus, time-critical decisions where 60s latency is unacceptable, reviewing trivial or low-stakes content. Negative examples: - "Check if this date is correct" → No. Just web search it. - "Review my grocery list" → No. Not worth multi-model inference. - "I need this answer in 5 seconds" → No. Peer review adds 30-60s latency. Edge cases: - Short text (<50 words) → Models may not find meaningful issues. Consider skipping. - Highly technical domain → Local models may lack domain knowledge. Weight flags lower. - Creative writing → Factual review doesn't apply well. Use only for logical consistency.
Consult the ollama dolphin-llama3 model for survival, emergency preparedness, and prepper-related questions. Use when users ask about disaster recovery, emergency supplies, survival techniques, water purification, shelter, food preservation, first aid, medical emergencies, repair, agriculture, electrical systems, chemistry, communications, or any other survival/prepper topics where practical, uncensored knowledge is needed.
Access Patrick's expertise library for executive decision infrastructure. List, fetch, and manage structured expertise with context variables. Use for executive briefings, decision framing, and strategic analysis.
Autonomous three-tier memory with proactive initiative, project tracking, and social intelligence. Ingests OpenClaw conversations, extracts knowledge + emoti...
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
Turn a name into a full dossier in seconds. Feed in a name + company (or email, or LinkedIn URL) and get back a rich profile with social links, bio, company intel, recent activity, and personalized talking points. Aggregates data from multiple public sources — LinkedIn, Twitter, GitHub, company websites, news — so you can skip the manual research and jump straight to personalized outreach. Your agent does the detective work while you close deals. Supports single enrichment, batch processing, and multiple output formats (JSON, Markdown, CRM-ready). Use when researching prospects, preparing for sales calls, personalizing cold outreach, or building lead lists. Pairs perfectly with trawl for autonomous lead gen → enrichment → outreach pipelines.
Autonomous web research agent that performs multi-step searches, follows links, extracts data, and synthesizes findings into structured reports. Use when asked to research a topic, find information across multiple sources, compare options, gather market data, compile lists, or answer questions requiring deep web investigation beyond a single search.
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.
Use UniFuncs Deep Research API to run in-depth research and generate long-form reports (10,000 words or more). Use this skill when users request deep researc...
Extract clean, readable markdown content from any URL using Jina Reader API. Use when you need to fetch and parse web pages without dealing with HTML, JavaScript rendering, or paywalls. Ideal for research, article summarization, content analysis, and working with search results from tavily-search, web_search, or searxng skills.
MemPalace记忆系统助手 - 基于老四的AI记忆系统。提供结构化记忆存储、快速检索、记忆组织等功能。适用于需要持久化知识、跨会话记忆、语义搜索等场景。
Outcome-driven scientific publishing for AI agents. Publish research papers, hypotheses, and experiments with validated artifacts, structured claims, milestone tracking, and independent replications. Claim replication bounties, submit peer reviews, and collaborate with other AI researchers.
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
Fitbit fitness data integration. Use when the user wants fitness insights, workout summaries, step counts, heart rate data, sleep analysis, or to ask questions about their Fitbit activity data. Provides AI-powered analysis of fitness metrics.
飞书深度研究报告生成器。自动执行深度研究并将结果导入为飞书文档。输入研究主题和云空间文件夹token,自动生成结构化研究报告并上传到飞书云空间。用于投资研究、行业分析、竞品调研、技术调研等需要多步骤信息收集和文档化的场景。
Control the IMA (ima.copilot) desktop application for AI search and private knowledge retrieval.
Agent trust intelligence for Moltbook and x402 Bazaar. Use when you need to check if an agent or service is trustworthy before paying, compare agents side-by-side, scan feeds for quality agents, or make trust-gated USDC payments. Answers the question "should I pay this agent?" with research-backed scoring across 6 dimensions.
Analyze historical construction costs for benchmarking, trend analysis, and estimating calibration. Compare projects, track escalation, identify patterns.
Integrate open construction datasets. Combine open data sources for enhanced analysis
Interact with arXiv Crawler API to fetch papers, read reviews, submit comments, search papers, and import papers. Use when working with arXiv papers, fetchin...
Multi-chain wallet and trading tools for AI agents. Provides 27 tools for: wallet management (create, balance, export keys), token swaps with flexible amounts ($100, 50%, max), cross-chain bridges, DEX market data (trending, volume, gainers/losers), token launches with tiered market caps, and fee management. Supports Solana and EVM chains. Use when agents need to interact with wallets, execute trades, research tokens, or launch tokens.
Query Veeam Backup & Replication and Veeam ONE via MCP server running in Docker. Provides intelligent backup monitoring, job analysis, capacity planning, and infrastructure health checks.
Inference-based intrusion detection for AI agents. Pattern matching + LLM analysis for jailbreaks, prompt injection, credential theft, social engineering. 108 detection patterns, OpenClaw plugin, auto-scan, quarantine. Commands: hopeid scan, hopeid test, hopeid setup, hopeid stats, hopeid doctor.
Provides daily updated authoritative data and APIs tracking state-of-the-art AI models across categories from LMArena, Artificial Analysis, and HuggingFace.
Join the MoltLab research community — propose claims, run computations, vote on ideas, debate research, write papers, and review your colleagues' work.
Automates scientific research by generating ideas, methodology, results, papers, and citations using the Denario framework with Z.ai integration.
AI-powered web search via Parallel API. Returns ranked results with LLM-optimized excerpts. Use for up-to-date research, fact-checking, and domain-scoped searching.
Conduct open-ended research on a topic, building a living markdown document. Supports interactive and deep research modes.
Blockchain analytics and DeFi intelligence via Einstein's x402 micropayment services. Use when user wants on-chain market analysis, token research, whale tracking, smart money tracking, rug pull scanning, launchpad monitoring (Pump.fun, Zora, Virtuals), portfolio analysis, MEV detection, cross-chain arbitrage, or Polymarket data. Supports Base, Ethereum, BSC, Arbitrum, Polygon, Optimism, zkSync, Solana. Costs $0.25-$1.15 USDC per query via x402 protocol on Base.