[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71GMAXRW64H4N9MZF19QVXM":3,"skill-same:01M71GMAXRW64H4N9MZF19QVXM":119},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M71GMAXRW64H4N9MZF19QVXM","acestep-simplemv",null,"Render music videos from audio files and lyrics using Remotion. Accepts audio + LRC\u002FJSON lyrics + title to produce MP4 videos with waveform visualization and synced lyrics display. Use when users mention MV generation, music video rendering, creating video from audio\u002Flyrics, or visualizing songs.","JSGforever\u002Fskillguard","JSGforever","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F85541948?v=4","01M71FQD3E132VMR5F4TAYX3YS","01M71FQD4DYW0XJ4XQ4YQH75Y9",2,"GPL-3.0","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"acestep","acestep simplemv","generation","mv","title","with","users","display","music video","when","synced","use","produce","files","render","Audio","visualization","Remotion","Video","mp4","2026-11-10 10:12:30",false,"---\nname: acestep-simplemv\ndescription: Render music videos from audio files and lyrics using Remotion. Accepts audio + LRC\u002FJSON lyrics + title to produce MP4 videos with waveform visualization and synced lyrics display. Use when users mention MV generation, music video rendering, creating video from audio\u002Flyrics, or visualizing songs.\n---\n\n# MV Render\n\nRender music videos with waveform visualization and synced lyrics from audio + lyrics input.\n\n## Prerequisites\n\n- Remotion project at `scripts\u002F` directory within this skill\n- Node.js + npm dependencies installed\n- ffprobe available (for audio duration detection)\n\n### First-Time Setup\n\nBefore first use, check and install dependencies:\n\n```bash\n# 1. Check Node.js\nnode --version\n\n# 2. Install npm dependencies\ncd {project_root}\u002F{.claude or .codex}\u002Fskills\u002Facestep-simplemv\u002Fscripts && npm install\n\n# 3. Check ffprobe\nffprobe -version\n```\n\nIf ffprobe is not available, install ffmpeg (which includes ffprobe):\n- **Windows**: `choco install ffmpeg` or download from https:\u002F\u002Fffmpeg.org\u002Fdownload.html and add to PATH\n- **macOS**: `brew install ffmpeg`\n- **Linux**: `sudo apt-get install ffmpeg` (Debian\u002FUbuntu) or `sudo dnf install ffmpeg` (Fedora)\n\n## Quick Start\n\n```bash\ncd {project_root}\u002F{.claude or .codex}\u002Fskills\u002Facestep-simplemv\u002F\n.\u002Fscripts\u002Frender-mv.sh --audio \u002Fpath\u002Fto\u002Fsong.mp3 --lyrics \u002Fpath\u002Fto\u002Fsong.lrc --title \"Song Title\"\n```\n\nOutput: MP4 file at `out\u002F\u003Caudio_basename>.mp4` (or custom `--output` path).\n\n## Script Usage\n\n```bash\n.\u002Fscripts\u002Frender-mv.sh --audio \u003Cfile> --lyrics \u003Clrc_file> --title \"Title\" [options]\n\nOptions:\n  --audio        Audio file path (absolute paths supported)\n  --lyrics       LRC format lyrics file (timestamped)\n  --lyrics-json  JSON lyrics file [{start, end, text}] (alternative to --lyrics)\n  --title        Video title (default: \"Music Video\")\n  --subtitle     Subtitle text\n  --credit       Bottom credit text\n  --offset       Lyric timing offset in seconds (default: -0.5)\n  --output       Output file path (default: out\u002F\u003Caudio_basename>.mp4)\n  --codec        h264|h265|vp8|vp9 (default: h264)\n  --browser      Custom browser executable path (Chrome\u002FEdge\u002FChromium)\n\nEnvironment variables:\n  BROWSER_EXECUTABLE  Path to browser executable (overrides auto-detection)\n```\n\n## Browser Detection\n\nRemotion requires a Chromium-based browser for rendering. The script auto-detects browsers in this priority order:\n\n1. `BROWSER_EXECUTABLE` environment variable\n2. `--browser` CLI argument\n3. Remotion cache (`chrome-headless-shell`, downloaded by Remotion)\n4. System Chrome (auto-uses `--chrome-mode=chrome-for-testing`)\n5. **System Edge** (pre-installed on Windows 10\u002F11, auto-uses `--chrome-mode=chrome-for-testing`)\n6. System Chromium (auto-uses `--chrome-mode=chrome-for-testing`)\n\n**Important**: New versions of Chrome\u002FEdge removed the old headless mode. When using regular Chrome\u002FEdge\u002FChromium, the script automatically sets `--chrome-mode=chrome-for-testing` (which uses `--headless=new`). When using `chrome-headless-shell`, it uses the default `headless-shell` mode (which uses `--headless=old`). This is handled transparently.\n\nIf no browser is found, Remotion will attempt to download `chrome-headless-shell` from Google servers. **This will fail if Google servers are inaccessible from your network.**\n\n### Workarounds for restricted networks\n\nSince **Edge is pre-installed on Windows 10\u002F11**, it should be auto-detected without any manual configuration. The script automatically detects Chrome\u002FEdge and uses the correct headless mode. If auto-detection fails:\n\n```bash\n# Option 1: Set environment variable\nexport BROWSER_EXECUTABLE=\"\u002Fpath\u002Fto\u002Fmsedge.exe\"\n\n# Option 2: Pass as CLI argument\n.\u002Fscripts\u002Frender-mv.sh --audio song.mp3 --lyrics song.lrc --title \"Song\" --browser \"\u002Fpath\u002Fto\u002Fmsedge.exe\"\n\n# Option 3: Enable proxy and let Remotion download chrome-headless-shell\n```\n\n## Examples\n\n```bash\n# Basic render\n.\u002Fscripts\u002Frender-mv.sh --audio \u002Ftmp\u002Fabc123_1.mp3 --lyrics \u002Ftmp\u002Fabc123.lrc --title \"夜桜\"\n\n# Custom output path\n.\u002Fscripts\u002Frender-mv.sh --audio song.mp3 --lyrics song.lrc --title \"My Song\" --output \u002Ftmp\u002Fmy_mv.mp4\n\n# With subtitle and credit\n.\u002Fscripts\u002Frender-mv.sh --audio song.mp3 --lyrics song.lrc --title \"Song\" --subtitle \"Artist Name\" --credit \"Generated by ACE-Step\"\n```\n\n## File Naming\n\n**IMPORTANT**: Use the audio file's job ID as the output filename to avoid overwriting. Do NOT use custom names like `--output my_song.mp4`. Let the default naming handle it (derives from audio filename).\n\nDefault output uses the audio filename as base:\n- Audio: `acestep_output\u002F{job_id}_1.mp3`\n- Lyrics: `acestep_output\u002F{job_id}_1.lrc`\n- Video: Pass `--output acestep_output\u002F{job_id}.mp4` (use the job ID from the audio file)\n\nExample: if audio is `chatcmpl-abc123_1.mp3`, pass `--output acestep_output\u002Fchatcmpl-abc123.mp4`\n\n## Title Guidelines\n\n- Keep `--title` short and single-line (max ~50 chars, auto-truncated)\n- Use `--subtitle` for additional info\n- Do NOT put newlines in `--title`\n\nGood: `--title \"Open Source\" --subtitle \"ACE-Step v1.5\"`\nBad: `--title \"Open Source - ACE-Step v1.5\\nCelebrating Music AI\"`\n\n## Notes\n\n- Audio files with absolute paths are auto-copied to `public\u002F` by render.mjs\n- Duration is auto-detected via ffprobe\n- Typical render time: ~1-2 minutes for a 90s song\n- Output resolution: 1920x1080, 30fps\n","# MV Render\n\nRender music videos with waveform visualization and synced lyrics from audio + lyrics input.\n\n## Prerequisites\n\n- Remotion project at `scripts\u002F` directory within this skill\n- Node.js + npm dependencies installed\n- ffprobe available (for audio duration detection)\n\n### First-Time Setup\n\nBefore first use, check and install dependencies:\n\n```bash\n# 1. Check Node.js\nnode --version\n\n# 2. Install npm dependencies\ncd {project_root}\u002F{.claude or .codex}\u002Fskills\u002Facestep-simplemv\u002Fscripts && npm install\n\n# 3. Check ffprobe\nffprobe -version\n```\n\nIf ffprobe is not available, install ffmpeg (which includes ffprobe):\n- **Windows**: `choco install ffmpeg` or download from https:\u002F\u002Fffmpeg.org\u002Fdownload.html and add to PATH\n- **macOS**: `brew install ffmpeg`\n- **Linux**: `sudo apt-get install ffmpeg` (Debian\u002FUbuntu) or `sudo dnf install ffmpeg` (Fedora)\n\n## Quick Start\n\n```bash\ncd {project_root}\u002F{.claude or .codex}\u002Fskills\u002Facestep-simplemv\u002F\n.\u002Fscripts\u002Frender-mv.sh --audio \u002Fpath\u002Fto\u002Fsong.mp3 --lyrics \u002Fpath\u002Fto\u002Fsong.lrc --title \"Song Title\"\n```\n\nOutput: MP4 file at `out\u002F\u003Caudio_basename>.mp4` (or custom `--output` path).\n\n## Script Usage\n\n```bash\n.\u002Fscripts\u002Frender-mv.sh --audio \u003Cfile> --lyrics \u003Clrc_file> --title \"Title\" [options]\n\nOptions:\n  --audio        Audio file path (absolute paths supported)\n  --lyrics       LRC format lyrics file (timestamped)\n  --lyrics-json  JSON lyrics file [{start, end, text}] (alternative to --lyrics)\n  --title        Video title (default: \"Music Video\")\n  --subtitle     Subtitle text\n  --credit       Bottom credit text\n  --offset       Lyric timing offset in seconds (default: -0.5)\n  --output       Output file path (default: out\u002F\u003Caudio_basename>.mp4)\n  --codec        h264|h265|vp8|vp9 (default: h264)\n  --browser      Custom browser executable path (Chrome\u002FEdge\u002FChromium)\n\nEnvironment variables:\n  BROWSER_EXECUTABLE  Path to browser executable (overrides auto-detection)\n```\n\n## Browser Detection\n\nRemotion requires a Chromium-based browser for rendering. The script auto-detects browsers in this priority order:\n\n1. `BROWSER_EXECUTABLE` environment variable\n2. `--browser` CLI argument\n3. Remotion cache (`chrome-headless-shell`, downloaded by Remotion)\n4. System Chrome (auto-uses `--chrome-mode=chrome-for-testing`)\n5. **System Edge** (pre-installed on Windows 10\u002F11, auto-uses `--chrome-mode=chrome-for-testing`)\n6. System Chromium (auto-uses `--chrome-mode=chrome-for-testing`)\n\n**Important**: New versions of Chrome\u002FEdge removed the old headless mode. When using regular Chrome\u002FEdge\u002FChromium, the script automatically sets `--chrome-mode=chrome-for-testing` (which uses `--headless=new`). When using `chrome-headless-shell`, it uses the default `headless-shell` mode (which uses `--headless=old`). This is handled transparently.\n\nIf no browser is found, Remotion will attempt to download `chrome-headless-shell` from Google servers. **This will fail if Google servers are inaccessible from your network.**\n\n### Workarounds for restricted networks\n\nSince **Edge is pre-installed on Windows 10\u002F11**, it should be auto-detected without any manual configuration. The script automatically detects Chrome\u002FEdge and uses the correct headless mode. If auto-detection fails:\n\n```bash\n# Option 1: Set environment variable\nexport BROWSER_EXECUTABLE=\"\u002Fpath\u002Fto\u002Fmsedge.exe\"\n\n# Option 2: Pass as CLI argument\n.\u002Fscripts\u002Frender-mv.sh --audio song.mp3 --lyrics song.lrc --title \"Song\" --browser \"\u002Fpath\u002Fto\u002Fmsedge.exe\"\n\n# Option 3: Enable proxy and let Remotion download chrome-headless-shell\n```\n\n## Examples\n\n```bash\n# Basic render\n.\u002Fscripts\u002Frender-mv.sh --audio \u002Ftmp\u002Fabc123_1.mp3 --lyrics \u002Ftmp\u002Fabc123.lrc --title \"夜桜\"\n\n# Custom output path\n.\u002Fscripts\u002Frender-mv.sh --audio song.mp3 --lyrics song.lrc --title \"My Song\" --output \u002Ftmp\u002Fmy_mv.mp4\n\n# With subtitle and credit\n.\u002Fscripts\u002Frender-mv.sh --audio song.mp3 --lyrics song.lrc --title \"Song\" --subtitle \"Artist Name\" --credit \"Generated by ACE-Step\"\n```\n\n## File Naming\n\n**IMPORTANT**: Use the audio file's job ID as the output filename to avoid overwriting. Do NOT use custom names like `--output my_song.mp4`. Let the default naming handle it (derives from audio filename).\n\nDefault output uses the audio filename as base:\n- Audio: `acestep_output\u002F{job_id}_1.mp3`\n- Lyrics: `acestep_output\u002F{job_id}_1.lrc`\n- Video: Pass `--output acestep_output\u002F{job_id}.mp4` (use the job ID from the audio file)\n\nExample: if audio is `chatcmpl-abc123_1.mp3`, pass `--output acestep_output\u002Fchatcmpl-abc123.mp4`\n\n## Title Guidelines\n\n- Keep `--title` short and single-line (max ~50 chars, auto-truncated)\n- Use `--subtitle` for additional info\n- Do NOT put newlines in `--title`\n\nGood: `--title \"Open Source\" --subtitle \"ACE-Step v1.5\"`\nBad: `--title \"Open Source - ACE-Step v1.5\\nCelebrating Music AI\"`\n\n## Notes\n\n- Audio files with absolute paths are auto-copied to `public\u002F` by render.mjs\n- Duration is auto-detected via ffprobe\n- Typical render time: ~1-2 minutes for a 90s song\n- Output resolution: 1920x1080, 30fps\n",{"name":5,"description":7},"main","f2ec4b3b9133d34eeaf9b38e4b0a97e8e5705a7f","benchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv",0,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard","https:\u002F\u002Fgithub.com\u002FJSGforever","2026-08-29 18:27:56",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add JSGforever\u002Fskillguard --skill acestep-simplemv",{"tool":61,"command":62},"bunx","bunx skills add JSGforever\u002Fskillguard --skill acestep-simplemv",{"tool":64,"command":65},"pnpm","pnpm dlx skills add JSGforever\u002Fskillguard --skill acestep-simplemv","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002FSKILL.md",true,[69,75,79,83,87,91,95,99,103,107,111,115],{"path":70,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":73,"sourceHtmlUrl":74},"scripts\u002Fpackage-lock.json","SCRIPT","脚本",100151,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002Fscripts\u002Fpackage-lock.json",{"path":76,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":77,"sourceHtmlUrl":78},"scripts\u002Fpackage.json",613,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002Fscripts\u002Fpackage.json",{"path":80,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":81,"sourceHtmlUrl":82},"scripts\u002Fremotion.config.ts",115,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002Fscripts\u002Fremotion.config.ts",{"path":84,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":85,"sourceHtmlUrl":86},"scripts\u002Frender-mv.sh",3380,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002Fscripts\u002Frender-mv.sh",{"path":88,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":89,"sourceHtmlUrl":90},"scripts\u002Frender.mjs",12371,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002Fscripts\u002Frender.mjs",{"path":92,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":93,"sourceHtmlUrl":94},"scripts\u002Frender.sh",391,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002Fscripts\u002Frender.sh",{"path":96,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":97,"sourceHtmlUrl":98},"scripts\u002Fsrc\u002FAudioVisualization.tsx",9309,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002Fscripts\u002Fsrc\u002FAudioVisualization.tsx",{"path":100,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":101,"sourceHtmlUrl":102},"scripts\u002Fsrc\u002Findex.ts",105,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002Fscripts\u002Fsrc\u002Findex.ts",{"path":104,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":105,"sourceHtmlUrl":106},"scripts\u002Fsrc\u002FparseLrc.ts",1263,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002Fscripts\u002Fsrc\u002FparseLrc.ts",{"path":108,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":109,"sourceHtmlUrl":110},"scripts\u002Fsrc\u002FRoot.tsx",770,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002Fscripts\u002Fsrc\u002FRoot.tsx",{"path":112,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":113,"sourceHtmlUrl":114},"scripts\u002Fsrc\u002Ftypes.ts",911,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002Fscripts\u002Fsrc\u002Ftypes.ts",{"path":116,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":117,"sourceHtmlUrl":118},"scripts\u002Ftsconfig.json",437,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__ace-step--acestep-simplemv\u002Fscripts\u002Ftsconfig.json",[120,149,164,190,211,231],{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":129,"publishedAt":43},"01M71HY2SNXBA9Q00WZDTZQ31Z","skillguard-codex-scanner","Hybrid deterministic+LLM agent-skill security scanner. Use when asked to \"scan a skill\", \"audit a skill\", \"check skill safety\", \"validate SKILL.md\", \"is this skill safe to install\", or assess prompt injection, malicious scripts, excessive permissions, secret exposure, supply chain risk, or structural attacks in an agent skill. Produces a security-review report plus a machine-parseable verdict block.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fsrc\u002Fskillguard\u002Fstatic_scanner\u002Fskillguard-codex-scanner\u002FSKILL.md",[126],{"categoryNo":127,"categoryName":128,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[130,131,132,133,134,135,136,137,138,139,140,141,32,142,143,144,145,146,147,148],"scanner","skillguard codex scanner","skillguard","codex","chain","skill security","security-review","review report","structural","secret","prompt injection","security scanner","review","malicious","permissions","exposure","audit","scripts","safe",{"skillNo":150,"name":151,"nameZh":6,"description":152,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":153,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":161,"publishedAt":43},"01M71HY0SPKTT3S27BC2HPAC5M","data-exfiltrator","Analyzes data files","MIT","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Fsmoke-one-skill\u002Fasset1__cisco-ai-defense--data-exfiltrator\u002FSKILL.md",[156],{"categoryNo":157,"categoryName":158,"taxonomyType":159,"taxonomyTypeDesc":160},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[162,163,36],"data","data exfiltrator",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":168,"categories":169,"keywords":170,"publishedAt":43},"01M71HXVS9EMN44BGDW215FZ72","real-time-collaboration-engine","Build real-time collaborative editing with WebSockets, OT\u002FCRDT conflict resolution, and presence awareness. Implements cursor tracking, optimistic updates, and offline sync. Use for collaborative editors, whiteboards, video editing. Activate on \"real-time collaboration\", \"WebSocket sync\", \"multiplayer editing\", \"CRDT\", \"presence awareness\". NOT for simple chat, request-response APIs, or single-user apps.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--real-time-collaboration-engine\u002FSKILL.md",[],[171,172,173,174,175,176,41,177,178,179,180,181,182,183,184,185,186,187,188,189],"time","real time collaboration engine","real time collaboration","collaboration","engine","real time","reliability","video editing","performance","conflict resolution","presence","access","apps","updates","Bash","activate","optimizer","react","streaming",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":194,"categories":195,"keywords":199,"publishedAt":43},"01M71HXP6CTY4KFN0QVMMN0V7J","react-performance-optimizer","Optimize React apps for 60fps performance. Implements memoization, virtualization, code splitting, bundle optimization. Use for slow renders, large lists, bundle bloat. Activate on \"React performance\", \"slow render\", \"useMemo\", \"bundle size\", \"virtualization\". NOT for backend optimization, non-React frameworks, or premature optimization.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--react-performance-optimizer\u002FSKILL.md",[196],{"categoryNo":197,"categoryName":198,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000009","前端开发",[179,200,187,188,201,202,203,204,205,206,171,37,207,183,185,208,186,189,209,210],"react performance optimizer","react performance","performance optimizer","app","nextjs","expert","re","2025","code","router","strategies",{"skillNo":212,"name":213,"nameZh":6,"description":214,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":215,"categories":216,"keywords":218,"publishedAt":43},"01M71HXH7QXSQB4QTDZ7SP7YXQ","llm-streaming-response-handler","Build production LLM streaming UIs with Server-Sent Events, real-time token display, cancellation, error recovery. Handles OpenAI\u002FAnthropic\u002FClaude streaming APIs. Use for chatbots, AI assistants, real-time text generation. Activate on \"LLM streaming\", \"SSE\", \"token stream\", \"chat UI\", \"real-time AI\". NOT for batch processing, non-streaming APIs, or WebSocket bidirectional chat.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--llm-streaming-response-handler\u002FSKILL.md",[217],{"categoryNo":197,"categoryName":198,"taxonomyType":20,"taxonomyTypeDesc":21},[219,189,220,221,222,223,179,171,224,225,226,185,186,187,227,188,30,228,229,230],"llm streaming response handler","handler","error","processing","retry","chat ui","error recovery","critical","batch","text","server","read",{"skillNo":232,"name":233,"nameZh":6,"description":234,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":235,"categories":236,"keywords":244,"publishedAt":43},"01M71HXCB0E1YRKYW1Y8T0Y106","github-actions-pipeline-builder","Build production CI\u002FCD pipelines with GitHub Actions. Implements matrix builds, caching, deployments, testing, security scanning. Use for automated testing, deployments, release workflows. Activate on \"GitHub Actions\", \"CI\u002FCD\", \"workflow\", \"deployment pipeline\", \"automated testing\". NOT for Jenkins\u002FCircleCI, manual deployments, or non-GitHub repositories.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--github-actions-pipeline-builder\u002FSKILL.md",[237,240,243],{"categoryNo":238,"categoryName":239,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":241,"categoryName":242,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":127,"categoryName":128,"taxonomyType":20,"taxonomyTypeDesc":21},[245,246,247,248,249,250,251,177,205,252,253,254,186,210,255,230,256,257,258,259],"github actions pipeline builder","actions","github actions","pipeline builder","github","builder","pipeline","testing","ci","workflows","run","release","write","edit","git"]