القائمة
Fast file-name and content search using `fd` and `rg` (ripgrep).
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Connect to 100+ APIs (Google Workspace, Microsoft 365, GitHub, Notion, Slack, Airtable, HubSpot, etc.) with managed OAuth. Use this skill when users want to interact with external services. Security: The MATON_API_KEY authenticates with Maton.ai but grants NO access to third-party services by itself. Each service requires explicit OAuth authorization by the user through Maton's connect flow. Access is strictly scoped to connections the user has authorized. Provided by Maton (https://maton.ai).
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Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu (小红书), Douyin (抖音), Weibo (微博), WeChat Articles (微信公众号), LinkedIn, Instagram, RSS, Exa web search, and any web page. One command install, zero config for 8 channels, agent-reach doctor for diagnostics. Use when: (1) user asks to search or read any of these platforms, (2) user shares a URL from any supported platform, (3) user asks to search the web, find information online, or research a topic, (4) user asks to post, comment, or interact on supported platforms, (5) user asks to configure or set up a platform channel. Triggers: "搜推特", "搜小红书", "看视频", "搜一下", "上网搜", "帮我查", "全网搜索", "search twitter", "read tweet", "youtube transcript", "search reddit", "read this link", "看这个链接", "B站", "bilibili", "抖音视频", "微信文章", "公众号", "LinkedIn", "GitHub issue", "RSS", "微博", "search online", "web search", "find information", "research", "帮我配", "configure twitter", "configur
API-first email platform designed for AI agents. Create and manage dedicated email inboxes, send and receive emails programmatically, and handle email-based workflows with webhooks and real-time events. Use when you need to set up agent email identity, send emails from agents, handle incoming email workflows, or replace traditional email providers like Gmail with agent-friendly infrastructure.
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
| name | file-search |
| description | Fast file-name and content search using `fd` and `rg` (ripgrep). |
| metadata | {"openclaw":{"emoji":"🔍","requires":{"bins":["fd","rg"]},"install":[{"id":"dnf-fd","kind":"dnf","package":"fd-find","bins":["fd"],"label":"Install fd-find (dnf)"},{"id":"dnf-rg","kind":"dnf","package":"ripgrep","bins":["rg"],"label":"Install ripgrep (dnf)"}]}} |
Fast file-name and content search using fd and rg (ripgrep).
Search for files matching a pattern:
fd "\.rs$" /home/xrx/projects
Find files by exact name:
fd -g "Cargo.toml" /home/xrx/projects
Search for a regex pattern across files:
rg "TODO|FIXME" /home/xrx/projects
Search with context lines:
rg -C 3 "fn main" /home/xrx/projects --type rust
sudo dnf install fd-find ripgrep