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Found 462 Skills
The live + realtime-format skill -- plan, promote, run, and repurpose livestreams and realtime moments (IG Live, TikTok LIVE, YouTube Live, LinkedIn Live, X, live shopping). Use when someone wants to plan a livestream, go live, run a live Q&A/AMA, do live shopping, or repurpose a live recording. Live is the "human premium," but the value is the event around it: promo before, engagement during, repurposing after. Uses the STAGE framework. Reads brand-profile + the live's goal first. The agent plans the live (platform + run-of-show), writes + schedules the pre-live promo, advises the live playbook (the human broadcasts natively), and plans the repurposing (recording -> clips). WoopSocial schedules the promo and publishes the repurposed clips; it does NOT broadcast, moderate in realtime, or run live shopping. Never fabricates viewer numbers. Distinct from community-management (native live moderation), campaign-and-launch-planning, and captions-and-clipping (the clip craft it routes to).
Analyze a video (Loom, YouTube, Vimeo, TikTok, Instagram, X/Twitter, Twitch, Dailymotion, Facebook, direct URL, or local file) — transcript, key frames, OCR text, metadata, annotated timeline — and answer questions about it with timestamps.
Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web.
Generates images with Codex (OpenAI's coding agent and its built-in image tool, included in a ChatGPT plan) - YouTube thumbnails, covers, B-roll stills, callout visuals, profile pictures - one Codex job per image, several in parallel, with the creator's photos as reference when the face matters, then copies them into the project with a manifest. Use when the user says generate an image, a thumbnail, a cover, make me a visual, codex images, génère une image, miniature, or when video-publish or video-edit needs an image.
Turns one long video or podcast (a local file or a YouTube link) into the best 3-5 short vertical clips, each cut and styled in the user's profile style. Transcribes once, splits the talk into candidate clips at sentence boundaries inside the chosen length, scores every candidate in code (speech rate, loudness, laughter, numbers and names said), shows the shortlist on one page with a preview of each, then trims, cuts and style-edits each pick as its own edit. Use when the user says "clip this video", "make shorts from my podcast", "find the best clips", "cut this into TikToks", "turn this YouTube video into reels", "repurpose this long video", or drops a long video (over about 3 minutes) or a YouTube link and wants short clips. Not for editing one short take (that is start or cut), and not for measuring someone else's style (that is creator-teardown).
Reverse-engineers a short-form creator's video format from their real numbers. Pulls a TikTok or YouTube Shorts profile (or pasted links, Instagram reels too) with view, like and save counts, transcribes the top videos word for word, measures pace, pauses and fillers, maps each video into timed beats, and writes a teardown.md someone can film from, a teardown.html page of their graphics, motion and sound, and the style.json the ai-editor plugin edits from (on its own it can write an edit plan as a table and .srt). Use when the user wants to analyse, break down or study a creator ("analyse @handle", "tear down @handle", "teardown of @handle", "break down this creator", "what makes this creator's videos work"), pastes TikTok, YouTube or Instagram links and asks what the pattern is, or asks to set up creator-teardown. Not for editing the user's own video like a creator when ai-editor is installed (its start skill), not for researching a topic, and not for cutting raw footage.
Use whenever a task needs something from the live web — search the web or the news, read a URL, map or crawl a site, pull structured fields from a page, or get data from a platform (X, LinkedIn, Reddit, TikTok, Instagram, YouTube, Xiaohongshu, Amazon, app stores, Google Maps, papers). Picks the right tool for the job, starts free, and lets treg fall back to the next vendor when one fails. No local scrapers, browsers or cookies.
Designs high-performing ad creatives across Instagram, Facebook, TikTok, LinkedIn, Google (Display / Demand Gen), YouTube, Pinterest, and X/Twitter — locking platform dimensions, safe zones, text overlay policy, character limits, industry visual DNA, ad objective hierarchy, composition patterns, CTA strategy, and prompt sanitation. Use when the user says "create an ad", "design an ad creative", "make an ad", "广告创意", "帮我做个广告图", "Instagram ad", "TikTok ad", "Facebook ad", "Google Display ad", "LinkedIn ad", "YouTube ad", "Pinterest ad", "promotional image", "campaign creative", "ad banner", "投放图", or any platform-specific ad request. Routed from `product-shots` when `asset_type == "ad"` or `is_promotion == True`.
Repurpose existing content into a native Instagram post. Take a LinkedIn, blog, YouTube script, or X tweet or thread and rebuild it for Instagram: a long piece becomes a carousel or a caption, re-hooked before the 125-char fold, off-platform artifacts stripped (X @-handles, link in bio), published via Publora on approval. Use to adapt content across platforms into Instagram. Not for writing from scratch (use ig-caption-writer or ig-carousel-planner), not for auditing a draft (ig-humanizer --mode audit).
End-to-end Chinese video washing pipeline. Use when the user provides a Bilibili, Douyin, Xiaohongshu, YouTube, web video URL, or local video file and asks for 视频洗稿, 视频二创, 洗稿并制作视频, 链接视频改写, 提取逐字稿后洗稿, or producing a new AI video from a source video. Orchestrates ra-逐字稿提取skill and ra-洗稿, ending at the 01-内容生产/视频工作台/待制作/ handoff queue; production continues through ra-video-production-director only on explicit request (直接制作/直接出片/一条龙).
Download source video or audio from Douyin, YouTube, Bilibili, Twitter/X, Xiaohongshu, and other yt-dlp-supported URLs into the content-creation workspace. Use when the user says 下载视频, 下载音频, 保存这个链接, 把源视频拉下来, or when another video workflow needs a local source file before transcription, frame analysis, editing, reference replication, or archiving.
Transcribe audio to text using local whisper.cpp. Use when user wants to convert audio/video to text, get transcription, or speech-to-text.