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Data & AI

Machine learning, LLMs, and data processing.

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llm-ai

4K

caixu-query-assets

Search Personal Asset Library. Use when the user wants to search or filter an existing 材序 asset library at the query stage, including “查我有哪些材料”“看哪些可复用”“按类型筛资产”“用自然语言找相关材料”. Prefer caixu-skill when the user asks for the full end-to-end mainline or is unsure which stage to run. This skill normalizes filters into precise retrieval inputs, uses agent tags plus FTS by default, and only calls the optional semantic vector retrieval function when the user explicitly asks for similar or related materials.

openclaw

data-ai

llm-ai

4K

agenttimes

Live context layer for AI agents. One /ask endpoint for news, weather, crypto prices, and alerts. 228K+ articles, 3,576 feeds, 14 categories. Enriched with sentiment, entities, and credibility. Free to use, no API key needed.

openclaw

data-ai

llm-ai

4K

agentstead-deploy

Deploy OpenClaw AI agents to AgentStead cloud hosting. Use when a user wants to deploy a sub-agent on AgentStead, connect Telegram/Discord, and launch quickly with AgentStead-provided AI models.

openclaw

data-ai

llm-ai

4K

agent-maker

Create autonomous AI agents for OpenClaw with guided discovery — clarifies purpose, personality, skills, channels, automation, and security before generating a fully configured agent workspace.

openclaw

data-ai

llm-ai

4K

muapi-workflow

Build, run, and visualize multi-step AI generation workflows. The AI architect translates natural language descriptions into connected node graphs — chain image generation, video creation, enhancement, and editing into automated pipelines.

openclaw

data-ai

llm-ai

4K

create-subagent

创建和管理 SubAgent（子智能体）。使用当用户需要：(1) 创建新的 SubAgent 执行特定任务，(2) 查看/管理已有的 SubAgent，(3) 终止或指导 SubAgent。支持多种预设类型：开发、研究、写作、数据分析等。

openclaw

data-ai

llm-ai

4K

create-subagent

创建和管理 SubAgent（子智能体）。使用当用户需要：(1) 创建新的 SubAgent 执行特定任务，(2) 查看/管理已有的 SubAgent，(3) 终止或指导 SubAgent。支持多种预设类型：开发、研究、写作、数据分析等。

openclaw

data-ai

llm-ai

4K

remoteclaw

Job board for AI agents to hire humans for physical-world tasks.

openclaw

data-ai

llm-ai

4K

aws-guardduty-explainer

Translate GuardDuty findings into plain-English incident summaries with actionable response steps

openclaw

data-ai

llm-ai

4K

coinank-openapi

call coinank openapi to get data

openclaw

data-ai

llm-ai

4K

multi-lens

当用户分享一个来自书籍、人物或思想的观点时，启动两位辩手从不同视角深度辩论该观点，帮助用户从中道立场全面理解它。触发词包括：「辩一辩」「帮我分析这个观点」「我在读xxx，书里说...」「xxx说过...」「辩论一下」「多角度看」，或用户直接粘贴一段引文或笔记。只要用户在分享一个观点并希望深度理解，就应该触发这个 skill（multi-lens）。

openclaw

data-ai

llm-ai

4K

jina-deepsearch

Jina DeepSearch API access via AIHubMix - use curl to call the HTTP API directly.

openclaw

data-ai

llm-ai

4K

accept-task

Accept or apply for a task on OpenAnt. Use when the agent wants to take on work, accept a bounty, apply for a job, pick up a task, or volunteer for an assignment. Handles both OPEN mode (direct accept) and APPLICATION mode (apply then wait for approval). Covers "accept task", "take this task", "apply for", "pick up work", "I want to do this".

openclaw

data-ai

llm-ai

4K

comment-on-task

Add or read comments on an OpenAnt task. Use when the agent wants to communicate with the task creator or worker, ask questions about a task, provide progress updates, give feedback, or follow the discussion thread. Covers "comment on task", "ask the creator", "update progress", "read comments", "what did they say".

openclaw

data-ai

llm-ai

4K

manage-teams

Create, join, and manage teams on OpenAnt. Use when the agent wants to discover public teams, join a team, create a new team, add or remove members, or get team details. Covers "find teams", "join a team", "create team", "team members", "manage my team".

openclaw

data-ai

llm-ai

4K

send-message

Send and receive direct messages on OpenAnt. Use when the agent needs to communicate privately with another user, check for new messages, read conversations, reply to someone, or start a chat. Covers "message someone", "send a DM", "reply to", "read messages", "check conversations", "any new messages?", "what did they say?", "check inbox".

openclaw

data-ai

llm-ai

4K

setup-agent

Register and configure an AI agent on OpenAnt. Use when setting up a new agent identity, registering with OpenClaw or another platform, configuring agent heartbeat, or performing one-time agent onboarding. Covers "register agent", "setup agent", "configure agent", "connect to OpenClaw", "agent registration".

openclaw

data-ai

llm-ai

4K

content-agency

AI 内容创作 Agency 技能。当用户需要专业内容创作（文案写作、社媒策略、品牌故事、SEO内容、增长黑客建议、Reddit/微博/小红书/微信公众号运营策略）时使用。支持多角色切换：文案师、社媒策略师、SEO专家、增长黑客、品牌守护者等。触发词：写文案、内容策略、社媒运营、品牌故事、增长建议、写推文、写小红书、公众号文章

openclaw

data-ai

llm-ai

4K

opinion-analyzer

多视角舆情分析助手。当用户需要分析某个话题/事件/人物/品牌的舆情时使用。参考 BettaFish 多 Agent 协作机制，从多个视角还原舆情原貌，打破信息茧房，输出结构化分析报告。触发词：舆情分析、话题分析、品牌声誉、网络讨论、分析XX事件、XX话题怎么看、公众对XX的看法

openclaw

data-ai

llm-ai

4K

algernon-feynman

Feynman Technique study session for OpenAlgernon. Use when the user runs `/algernon feynman [SLUG]`, says "feynman", "quero explicar conceitos", "me testa explicando", "tecnica feynman", "ensinar para aprender", or "quero consolidar [material]". The goal is to expose gaps in understanding by making the user teach concepts back in their own words.

openclaw

data-ai

llm-ai

4K

algernon-interview

Mock technical interview mode for OpenAlgernon. Use when the user runs `/algernon interview [SLUG]`, says "me entrevista sobre [material]", "simula entrevista tecnica", "mock interview", "entrevista de emprego", "quero praticar entrevista", or "me faz perguntas tecnicas". Simulates a senior AI engineering interviewer with adaptive difficulty, follow-up probes, and a full scored report at the end.

openclaw

data-ai

llm-ai

4K

benchclaw

BenchClaw 是 OpenClaw Agent 的专业级“安兔兔”评测框架。它专注于对 AI Agent 进行多维度、自动化的量化评估与能力基准测试，集成了任务分发、精准评分、可视化报表生成及热更新功能。当需要量化 Agent 的推理规划、响应速度、Token 成本及安全性时使用。 **用户意图/指令**：跑分、跑个分、运行基准测试、评估 Agent 表现、生成评测报告、分析 Token 消耗。 **技术关键词**：跑分、跑个分、Agent 评测、基准测试、自动化打分、量化评估、性能报告、Token 成本、 TPS、OpenClaw。 BenchClaw is the "AnTuTu" for OpenClaw Agents—a professional-grade automated benchmarking framework. It provides multi-dimensional evaluation (Capability, Performance, Cost, Config, Security) through automated task execution, precision scoring, and detailed report generation. **User Intent**: run benchmark, get score, evaluate agent performance, generate scoring reports, analyze Token usage/TPS. **Key Triggers**: Benchmark, Scoring, Agent Evaluation, Automated Scoring, Performance Metrics, Cost Analysis, OpenClaw.

openclaw

data-ai

llm-ai

4K

punting-buddy

Conversational horse racing analysis, racecard breakdowns, runner comparisons, odds or value chat, and punting-style decision support in the voice of a sharp mate, not an AI report. Use when the user asks what races are next, what is on today or tomorrow, wants a horse racing racecard reviewed, wants runners compared, asks who looks solid versus lively, wants a quick shortlist, wants a second opinion on a horse they already fancy, or asks for today's results. Default to The Racing API free plan as source A, guide env setup if credentials are missing, keep replies natural and brief, stay read-only by default, and only discuss paper bets or approval-prep when explicitly asked.

openclaw

data-ai

llm-ai

4K

anvevoice

Add AI voice assistants to your website. Engage visitors with natural voice conversations, capture leads, automate support, and boost conversions.

openclaw

data-ai

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