AI Agents Marketplace
Showing 24 of 24 results
Tavily Search
Search the public web through Tavily and return structured results with URLs and snippets. Use when an agent needs current information, source discovery, link lookup, news or finance search, or a fallback for unavailable built-in web search. Do not use for private or authenticated pages.
Find Skills Skill
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Tavily AI Search
AI-optimized web search using Tavily Search API. Use when you need comprehensive web research, current events lookup, domain-specific search, or AI-generated answer summaries. Tavily is optimized for LLM consumption with clean structured results, answer generation, and raw content extraction. Best for research tasks, news queries, fact-checking, and gathering authoritative sources.
Planning with files
Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.
Tavily Search
Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.
Research
Conduct open-ended research on a topic, building a living markdown document. Supports interactive and deep research modes.
research
Runs multi-source research across GitHub, HN, Reddit, arXiv, and Semantic Scholar
Research
Conduct open-ended research on a topic, building a living markdown document. Supports interactive and deep research modes.
research
# Research Use this skill to answer a question by delegating the *work of finding the answer* to a subagent, so that the byproducts of that work — file contents, log noise, dead-end reads — never enter your own context. You get back a distilled answer plus the evidence that supports it, and you stay sharp for the actual task. ## Why this matters Your context window is your most valuable and limited resource. Reading twenty files to discover that three of them mattered permanently pollutes your context with
Research
Deep market research — competitor analysis, user pain points, SEO/ASO keywords, naming/domain availability, and TAM/SAM/SOM sizing. Use when user says "resea...
deep-research
Deep research skill — broad parallel web searches, multi-source validation, confidence tracking, cited Markdown report. Supports 11 research types: market (TAM/SAM, segments, pricing, trends), domain (industry structure, ecosystem, regulatory landscape), technical (architecture, tools, benchmarks), competitive (competitor teardown, positioning, win/loss), product (feature analysis, reviews, roadmap signals), academic (literature survey, citation networks, key authors), person/org (due diligence on a company or public figure), financial (funding rounds, valuation multiples, revenue signals), legal (IP, patents, litigation, compliance), trend (emerging signals, foresight, scenario mapping), community (ecosystem health, key voices, governance, fragmentation). Use when asked to: 'research <topic>', 'deep dive on X', 'analyze the landscape', 'competitive analysis', 'compare these options', 'who are the players in Z', 'literature review', 'background on Y', 'what papers exist on X', 'product teardown', 'technology evaluation', 'regulatory overview', 'funding landscape', 'what trends are emerging in X', 'patent landscape', 'community health', or any request requiring scanning many sources and producing a cited written analysis. Apply whenever the deliverable is a thorough, sourced report rather than a quick answer. Trigger even when phrased casually: 'look into X', 'what's the deal with Y', 'dig into Z', 'I need to understand the space', 'catch me up on X'.
industry-research
深度行业与产业链透视 SOP。覆盖产业链上中下游全景、利润与议价权分配、行业周期与拐点、技术路线分歧、竞争格局矩阵及二级市场真实标的与 ETF 映射。当用户需要进行行业调研、行业分析、赛道梳理、产业链透视、竞争格局对比或行业深度研究时触发（触发词包含：行业调研, 行业分析, 深度研究, 赛道, 产业链, 产业透视, industry research, competitive analysis, market landscape）。
research-analysis
McKinsey-style business research and analysis skill. This skill should be used when the user needs consulting-grade insights, quantitative data modeling, competitor deep-dive analysis, user persona research, industry trend reports, or structured business problem-solving. Triggers on requests like analyze this market, compare competitors, build a user persona, estimate market size, write a research report, do a SWOT analysis, or any business research task requiring structured frameworks and data-driven conclusions.
xbox-research
Research Xbox game listings, regional prices, compatibility, accessibility features, curated collections, subscription inclusion, and review samples through Crawlora. Use to shortlist Xbox or PC games or compare editions and Game Pass catalog evidence without purchases.
patents-research
Researches patents and patent applications via the Crawlora API — Google Patents (full-text search by keyword/inventor/assignee, bibliographic detail, claims/citations/family, CPC classification lookup, recent-publications browse, database coverage) and USPTO Patent Public Search (full-text search with USPTO's own Advanced Search syntax, document detail) — returning clean JSON. Use when the user wants prior-art search, a specific patent's claims/citations/family, an inventor's or company's patent portfolio, or freedom-to-operate research.
gdelt-research
Researches global news and US television coverage via the Crawlora API — GDELT web-news search/context/timeline/sentiment, plus GDELT Television 2.0 AI's index of US TV transcripts, captions, on-screen text, and visual labels — returning clean JSON. Use when the user wants coverage-volume or sentiment trends over time, cross-outlet news search, sentence-level co-occurrence search, or what US TV news said/showed about a topic — OSINT, media-monitoring, and political/social-science research.
fotmob-research
Research football fixtures, match reports, player form, transfers, standings, and broadcast listings through Crawlora FotMob tools. Use for a football match brief, team or player comparison, league leaders, transfer coverage, or where a match is shown.
courtlistener-research
Researches public US legal opinions, courts, and judicial people through CourtListener via the Crawlora API, returning clean JSON. Use when the user wants to search opinions, browse courts, or look up public judge/person records without scraping CourtListener pages.
auction-research
Researches Bonhams auctions and lots via the Crawlora API — upcoming and past sales, lot search, estimates, realized prices, departments, and auction detail — returning clean JSON. Use when the user wants auction-house research, comparable lots, sale calendars, or public estimate/realized-price data.
Baidu web search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.