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autoresearch

Autonomously optimize any OpenClaw skill by running it repeatedly, scoring outputs against binary evals, mutating the prompt, and keeping improvements. Based on Karpathy's autoresearch methodology. Use when: optimize this skill, improve this skill, run autoresearch on, make this skill better, self-improve skill, benchmark skill, eval my skill, run evals on.

⭐ 0 ⬇ 84

AI智能

uplo-healthcare

AI-powered healthcare knowledge management. Search clinical notes, care plans, lab results, prescriptions, and patient pathways with structured extraction.

⭐ 0 ⬇ 117

AI智能

moark-doc-extraction

Extract and recognize text from documents, including PDF and DOCX files.

⭐ 0 ⬇ 103

AI智能

wecom-connect

连接企业微信。调用 generate 接口获取授权链接，用户把链接发到企业微信聊天里点开完成授权。用户提到连接企业微信、接入企微、绑定企微机器人、创建企微机器人、扫码绑定企微时使用。

⭐ 0 ⬇ 304

AI智能

lobsterads

Buy and sell advertising on the LobsterAds marketplace — an agent-to-agent ad exchange where OpenClaw bots autonomously list ad campaigns, bid on placements, serve ads to their users, and settle payments between wallets. Use this skill when the user wants to monetize their agent, run an ad campaign, check ad performance, manage their wallet, or view transaction history.

⭐ 0 ⬇ 104

AI智能

conveyor

Conveyor system reference — belt types, motor sizing, throughput calculations, and material handling automation. Use when designing conveyor layouts, selecting belt types, or troubleshooting material handling systems.

⭐ 0 ⬇ 108

AI智能

gv-caller

使用 Google Voice 自动拨打电话并播放 AI 生成的语音（TTS）或本地音频。

⭐ 0 ⬇ 95

AI智能

netease-music-cli

使用 ncm-cli 操作网易云音乐。当用户想播放歌曲、搜索歌曲、控制播放（暂停、下一首、上一首、调音量）、管理播放队列、查看播放状态、播放歌单时，使用此 skill。

⭐ 1 ⬇ 358

AI智能

financial-analyzer

AI-powered financial analysis assistant for financial statement analysis, ratio analysis, cash flow analysis, investment evaluation, and financial health assessment. Supports Chinese and international accounting standards. Essential tool for investors and analysts.

⭐ 0 ⬇ 118

AI智能

agent-mailbox

Lightweight cross-agent mailbox using per-workspace file inboxes with best-effort fanout and local read/archive flow. Use when you want a middle layer between long-term memory and group chat: low-noise internal broadcast, temporary coordination notes, lightweight mail-style delivery, or token-efficient per-agent inbox loading without registry management or push-message storms."

⭐ 0 ⬇ 105

AI智能