--- name: grab-1b1c16ee0600 description: Download and archive content from URLs (tweets, X articles, Reddit, YouTube). Saves media, text, transcripts, and AI summaries into organized folders. homepage: https://github.com/jamesalmeida/grab when: "User shares a URL and wants to download/save/grab it, or asks to download a tweet video, YouTube video, Reddit post, or any media from a URL" examples: - "grab this https://x.com/..." - "download this tweet" - "save this video" - "grab https://youtube.com/..." - "grab this reddit post" tags: - download - media - twitter - youtube - reddit - transcript - archive metadata: { "openclaw": { "emoji": "🫳", "requires": { "bins": ["yt-dlp", "ffmpeg", "whisper"] }, "install": [{ "id": "yt-dlp", "kind": "brew", "formula": "yt-dlp", "bins": ["yt-dlp"], "label": "Install yt-dlp (brew)" }, { "id": "ffmpeg", "kind": "brew", "formula": "ffmpeg", "bins": ["ffmpeg"], "label": "Install ffmpeg (brew)" }, { "id": "openai-whisper", "kind": "brew", "formula": "openai-whisper", "bins": ["whisper"], "label": "Install Whisper (brew)" }] } } --- # grab 🫳 Download and archive content from URLs into organized folders. ## Setup ### Dependencies ```bash brew install yt-dlp ffmpeg openai-whisper ``` ### Save Location On first run, `grab` asks where to save files (default: `~/Dropbox/ClawdBox/`). Config stored in `~/.config/grab/config`. Reconfigure anytime with `grab --config`. ### Transcription (Local Whisper) Transcription runs locally via Whisper (`turbo` model) — no API key or network calls needed. ### AI Summaries & Smart Titles (Optional) Set `OPENAI_API_KEY` to enable: - AI-generated summaries of content - Smart descriptive folder names (from transcript/image analysis) Without it, everything still works — you just won't get summaries or auto-renamed folders. ## What It Does ### Tweets (x.com / twitter.com) - `tweet.txt` — tweet text, author, date, engagement stats - `video.mp4` — attached video (if any) - `image_01.jpg`, etc. — attached images (if any) - `transcript.txt` — auto-transcribed from video (if video) - `summary.txt` — AI summary of video (if video) - Folder named by content description ### X Articles - `article.txt` — full article text with title, author, date - `summary.txt` — AI summary of article - Agent handles via OpenClaw browser snapshot - Script exits with code 2 and `ARTICLE_DETECTED::` when it detects an article ### Reddit - `post.txt` — title, author, subreddit, score, date, body text - `comments.txt` — top comments with authors and scores - `image_01.jpg`, etc. — attached images or gallery (if any) - `video.mp4` — attached video (if any) - `transcript.txt` — auto-transcribed from video (if video) - `summary.txt` — AI summary of post + discussion - If Reddit JSON API is blocked (exit code 3), agent uses OpenClaw browser ### YouTube - `video.mp4` — the video - `description.txt` — video description - `thumbnail.jpg` — video thumbnail - `transcript.txt` — transcribed audio - `summary.txt` — AI summary ## Output Downloads are organized by type: ``` / XPosts/ 2026-02-03_embrace-change-you-can-shape-your-life/ tweet.txt, video.mp4, transcript.txt, summary.txt XArticles/ 2026-01-20_the-arctic-smokescreen/ article.txt, summary.txt Youtube/ 2026-02-03_how-to-build-an-ai-agent/ video.mp4, description.txt, thumbnail.jpg, transcript.txt, summary.txt Reddit/ 2026-02-03_maybe-maybe-maybe/ post.txt, comments.txt, video.mp4, summary.txt ``` ## Usage ```bash grab # Download and archive a URL grab --config # Reconfigure save directory grab --help # Show help ``` ## Requirements ```bash brew install yt-dlp ffmpeg openai-whisper ``` Transcription uses local Whisper — no API key needed. `OPENAI_API_KEY` env var optional — enables AI summaries and smart folder titles. Without it, media downloads and transcription still work. --- Source attribution: kbarbel640-del Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/jamesalmeida/grab/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 clawdbot Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: kbarbel640-del Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/jamesalmeida/grab/SKILL.md Attribution basis: Source repository record Fields of work: Education & Research, Marketing Roles: Content Marketer, Influencer Marketer, Marketing Analyst, Researcher, Social Media Manager Specialties: API Tools: Ffmpeg, Whisper, Yt Dlp Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 048bdaeeae055508173f8383111e26170b1f1d307f0532dcdcc1d43e6f252760