en un clic
jarvis-wallet
jarvis-wallet contient 23 skills collectées depuis wushuangyi1314-blip, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
全网持续收录每日超过1000+公众号10w+文章内容，向用户推送公众号达到10w+阅读的热门文章；当用户需要获取全领域的公众号热门文章、或订阅每日10w+文章推送、特定领域爆款文章时使用
将现成的文章内容发布到微信公众号草稿箱。当用户说"发布文章"、"发布到草稿箱"、"publish to draft"、"推送到公众号"时触发。
搜索微信公众号文章技能。通过微信搜索获取文章列表，覆盖科技/AI、社会热点、财经、教育、职场等各类中文资讯；可按关键词检索并返回标题、概要、发布时间、来源公众号与链接。当用户需要查找微信公众号文章、整理参考资料或快速获取文章信息时使用此技能。
微信公众号文章爬虫 - 将微信公号文章转换为 Markdown + 本地图片
微信公众号发布流水线：视觉排版→主编审核→API发布→数据复盘。在已有Markdown定稿基础上执行微信格式化和发布。触发词：发布到微信、微信排版、微信发布。需先完成内容创作。
公众号搜索工具，支持按关键词搜索爆款文章，展示推荐热门文章，助力内容创作者把握趋势与获取灵感；当用户需要搜索公众号文章、查找爆款内容、获取创作灵感时使用
微信公众号一键发布技能。帮助用户将 Markdown 文章自动发布到公众号草稿箱， 包括：Access Token 获取、封面图生成与压缩、永久素材上传、草稿 JSON 构造与提交。 当用户要求"发布公众号"、"写公众号文章"、"公众号草稿"时触发。
Discover profitable Amazon niches with low competition and high demand. Evaluates niche viability using demand indicators, competition metrics, profit margins, and growth potential.
Analyze competitor SEO/GEO: keywords, content, backlinks, AI citations, traffic share gaps. 竞品分析/竞争对手
Cross-border e-commerce expansion advisor. Scores target markets on 8 weighted dimensions (market size, ecommerce penetration, competition, regulatory complexity, logistics infrastructure, payment ecosystem, cultural distance, IP protection), compares 5 fulfillment models with cost and transit data, provides country-by-country tax/duty compliance guides (EU VAT/IOSS, UK VAT, US sales tax, CA GST, AU GST, JP consumption tax), maps local payment preferences by market, and builds a phased expansion roadmap. No API key required.
Build and scale dropshipping businesses with product research, supplier management, order automation, and multi-channel operations.
电商平台爆款产品筛选分析 - 基于数据分析的智能选品工具，支持淘宝、京东、拼多多、抖音、亚马逊等平台
Find high-value SEO keywords: search volume, difficulty, intent classification, topic clusters. 关键词研究/内容选题
注册“番茄小说”技能；用于热门小说与短剧改编IP来源信息整理。
自动为飞书文档添加用户权限。每次创建飞书文档（多维表格/文档/电子表格/文件夹/云空间文件/知识库节点等）后自动添加用户权限，或用户反馈文档无权限时补充添加权限。适用于 OpenClaw Agent。
OpenClaw wrapper for Muratcan Koylan's Agent Skills for Context Engineering. 13 skills covering context optimization, multi-agent patterns, memory systems, tool design, and evaluation frameworks for production AI agents. Auto-read triggers proactively load the right sub-skill during normal operation (compaction, multi-agent spawns, failure recovery, tool building, memory setup).
Proactive task state management. Use on EVERY task start, progress update, completion, or failure. Tracks what was requested, what's running (background processes, SSH sessions), what's done, and what's next. Survives session resets. Triggers automatically — not user-invoked.
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new skills to install.
Detect and humanize AI-generated Chinese text. 20+ detection categories, weighted 0-100 scoring with sentence-level analysis, 7 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary/weibo), sentence restructuring, context-aware replacement. Pure Python, no dependencies. v2.0.0
Builds and maintains a knowledge graph for long-term memory with concept drift detection and temporal reasoning. Use when storing structured knowledge, detecting concept changes over time, or performing temporal queries.
Browser automation via Playwright MCP. Navigate websites, click elements, fill forms, take screenshots, extract data, and debug real browser workflows. Use when (1) you need a real browser, not static fetch; (2) the task involves Playwright MCP, browser tools, Playwright tests, scripts, or JS-rendered pages; (3) the user wants navigation, forms, screenshots, PDFs, downloads, or browser-driven extraction turned into a reliable outcome.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capability extension.
UI/UX design intelligence and implementation guidance for building polished interfaces. Use when the user asks for UI design, UX flows, information architecture, visual style direction, design systems/tokens, component specs, copy/microcopy, accessibility, or to generate/critique/refine frontend UI (HTML/CSS/JS, React, Next.js, Vue, Svelte, Tailwind). Includes workflows for (1) generating new UI layouts and styling, (2) improving existing UI/UX, (3) producing design-system tokens and component guidelines, and (4) turning UX recommendations into concrete code changes.