Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when the user says: 'compute', 'crunch this', 'analyze logs', 'aggregate the data', 'run a script', 'dedupe', 'count by', 'top N', or any data-shaping ask. Replaces dumping raw data into context with sandboxed script execution.
Create polished Jinn product showcase videos, GIFs, and README demo assets from isolated mock or sandbox instances. Use when asked to record a Jinn web UI walkthrough, update the README showcase GIF, build a mock gateway or clean test instance, script UI animations, capture Playwright video, convert WebM to MP4/GIF, or document video-capture gotchas for the Jinn platform.
Use when the BOM in BUILD_GUIDE.md needs to be checked against or synchronized with the schematic in hardware/pcb/schematic.pdf or the KiCad source in hardware/pcb/kicad/. Trigger when adding, removing, or changing electronic components, or when the user asks to verify BOM correctness.
视频文案分析一站式工具。下载在线视频（B站/YouTube/抖音等）、使用FunASR进行高速中文语音转录、 自动校正文稿、并进行三维度综合分析（TextContent/Viral/Brainstorming）。 使用场景：当用户需要分析短视频文案、提取视频内容、学习爆款文案技巧时。 关键词：视频分析、文案分析、语音转文字、FunASR、爆款分析、视频下载
Use when the user wants AI Canvas to automatically process edit jobs submitted from the canvas button, including 开启自动修图模式, 继续自动修图, 自动监听画布修改, 点按钮后自动修图, or continuous AI Canvas annotation edit mode.
Extract Bilibili videos and opus/article posts into readable Markdown knowledge notes. Use when the user asks to 提取/提炼/总结/整理 B站 or bilibili video/图文/动态/opus content, save a B站 note to a local knowledge base, include useful comments, handle multi-part videos, fetch B站 AI subtitles, download opus images, or fall back to audio transcription.
Use when the user has annotated an AI Canvas image and asks for follow-up changes, including 要求后续变更, 后续修改, 按标注修改, 根据箭头修改, 照画布意见改图, or edit the selected image from canvas annotations.
Read any web page, document, or YouTube video as clean Markdown using PullMD. Use this skill whenever you need to fetch, read, extract, or summarize content from a URL — web articles, Reddit threads, PDF/Word/PowerPoint/Excel/EPUB documents, or YouTube transcripts. This includes when the user says 'read this page', 'what does this URL say', 'fetch this article', 'summarize this PDF', 'get the transcript of this video', or when you need web content as context for another task. Also use this when WebFetch fails or returns poor results — PullMD produces cleaner Markdown than raw HTML parsing. Do NOT use this for GitHub URLs (use gh CLI instead) or for API endpoints that return JSON.
Compress large text, tool output, or transcripts to reduce context-window usage while keeping the full 1M window intact — call slm_compress(content, mode, reversible, ttl_seconds) to shrink content; if the result is lossy a ccr_id is returned so you can call slm_retrieve(ccr_id) later to recover the exact original; always fail-open (ok:false → continue with the original).