[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7C1PXTESQPDFF4PCP7N6FJZ":3,"skill-same:01M7C1PXTESQPDFF4PCP7N6FJZ":45},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":24,"commitSha":25,"skillDirectory":26,"forksCount":27,"repositoryHtmlUrl":28,"repositoryHomepageUrl":6,"ownerHtmlUrl":29,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":30,"install":31,"resources":44},"01M7C1PXTESQPDFF4PCP7N6FJZ","egomotion-estimation",null,"Estimate camera motion with optical flow + affine\u002Fhomography, allow multi-label per frame.","linyouxue\u002Fskill-repair-benchmark","linyouxue","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F216151464?v=4","01M7BJEVCXKD74KH6FG9CBVSQB","林宥学","01M7BJEVE02NP217V93BKZFC0J",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Flinyouxue\u002Fskill-repair-benchmark\u002Fblob\u002Fmain\u002Fevaluation\u002Fresults\u002FSkillrevise\u002Ftasks\u002Fdynamic-object-aware-egomotion\u002Frepaired_run\u002Finputs\u002Fskills\u002Fegomotion-estimation\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: egomotion-estimation\ndescription: \"Estimate camera motion with optical flow + affine\u002Fhomography, allow multi-label per frame.\"\n---\n\n# When to use\n- You need to classify camera motion (Stay\u002FDolly\u002FPan\u002FTilt\u002FRoll) from video, allowing multiple labels on the same frame.\n\n# Workflow\n1) **Feature tracking**: `goodFeaturesToTrack` + `calcOpticalFlowPyrLK`; drop if too few points.\n2) **Robust transform**: `estimateAffinePartial2D` (or homography) with RANSAC to get tx, ty, rotation, scale.\n3) **Thresholding (example values)**  \n   - Translate threshold `th_trans` (px\u002Fframe), rotation (rad), scale delta (ratio).  \n   - Allow multiple labels: if scale and translate are both significant, emit Dolly + Pan; rotation independent for Roll.\n4) **Temporal smoothing**: windowed mode\u002Fmedian to reduce flicker.\n5) **Interval compression**: merge consecutive frames with identical label sets into `start->end`.\n\n# Decision sketch\n```python\nlabels=[]\nfor each frame i>0:\n    lbl=[]\n    if abs(scale-1)>th_scale: lbl.append(\"Dolly In\" if scale>1 else \"Dolly Out\")\n    if abs(rot)>th_rot: lbl.append(\"Roll Right\" if rot>0 else \"Roll Left\")\n    if abs(dx)>th_trans and abs(dx)>=abs(dy): lbl.append(\"Pan Left\" if dx>0 else \"Pan Right\")\n    if abs(dy)>th_trans and abs(dy)>abs(dx): lbl.append(\"Tilt Up\" if dy>0 else \"Tilt Down\")\n    if not lbl: lbl.append(\"Stay\")\n    labels.append(lbl)\n```\n\n# Heuristic starting points (720p, high fps; scale with resolution\u002Ffps)\n- Tune thresholds based on resolution and frame rate (e.g., normalize translation by image width\u002Fheight, rotation in degrees, scale as relative ratio).\n- Low texture\u002Flow light: increase feature count, use larger LK windows, and relax RANSAC settings.\n\n# Self-check\n- [ ] Fallback to identity transform on failure; never emit empty labels.\n- [ ] Direction conventions consistent (image right shift = camera pans left).\n- [ ] Multi-label allowed; no forced single label.\n- [ ] Compressed intervals cover all sampled frames; keys formatted correctly. \n","# When to use\n- You need to classify camera motion (Stay\u002FDolly\u002FPan\u002FTilt\u002FRoll) from video, allowing multiple labels on the same frame.\n\n# Workflow\n1) **Feature tracking**: `goodFeaturesToTrack` + `calcOpticalFlowPyrLK`; drop if too few points.\n2) **Robust transform**: `estimateAffinePartial2D` (or homography) with RANSAC to get tx, ty, rotation, scale.\n3) **Thresholding (example values)**  \n   - Translate threshold `th_trans` (px\u002Fframe), rotation (rad), scale delta (ratio).  \n   - Allow multiple labels: if scale and translate are both significant, emit Dolly + Pan; rotation independent for Roll.\n4) **Temporal smoothing**: windowed mode\u002Fmedian to reduce flicker.\n5) **Interval compression**: merge consecutive frames with identical label sets into `start->end`.\n\n# Decision sketch\n```python\nlabels=[]\nfor each frame i>0:\n    lbl=[]\n    if abs(scale-1)>th_scale: lbl.append(\"Dolly In\" if scale>1 else \"Dolly Out\")\n    if abs(rot)>th_rot: lbl.append(\"Roll Right\" if rot>0 else \"Roll Left\")\n    if abs(dx)>th_trans and abs(dx)>=abs(dy): lbl.append(\"Pan Left\" if dx>0 else \"Pan Right\")\n    if abs(dy)>th_trans and abs(dy)>abs(dx): lbl.append(\"Tilt Up\" if dy>0 else \"Tilt Down\")\n    if not lbl: lbl.append(\"Stay\")\n    labels.append(lbl)\n```\n\n# Heuristic starting points (720p, high fps; scale with resolution\u002Ffps)\n- Tune thresholds based on resolution and frame rate (e.g., normalize translation by image width\u002Fheight, rotation in degrees, scale as relative ratio).\n- Low texture\u002Flow light: increase feature count, use larger LK windows, and relax RANSAC settings.\n\n# Self-check\n- [ ] Fallback to identity transform on failure; never emit empty labels.\n- [ ] Direction conventions consistent (image right shift = camera pans left).\n- [ ] Multi-label allowed; no forced single label.\n- [ ] Compressed intervals cover all sampled frames; keys formatted correctly. \n",{"name":5,"description":7},"main","cdcb6d230f3b15c3c33f8a2bdd16439f43602cbe","evaluation\u002Fresults\u002FSkillrevise\u002Ftasks\u002Fdynamic-object-aware-egomotion\u002Frepaired_run\u002Finputs\u002Fskills\u002Fegomotion-estimation",1,"https:\u002F\u002Fgithub.com\u002Flinyouxue\u002Fskill-repair-benchmark","https:\u002F\u002Fgithub.com\u002Flinyouxue","2026-11-14 20:28:35",{"source":8,"skillName":5,"commands":32,"prompt":42,"zipAvailable":43},[33,36,39],{"tool":34,"command":35},"npx","npx skills add linyouxue\u002Fskill-repair-benchmark --skill egomotion-estimation",{"tool":37,"command":38},"bunx","bunx skills add linyouxue\u002Fskill-repair-benchmark --skill egomotion-estimation",{"tool":40,"command":41},"pnpm","pnpm dlx skills add linyouxue\u002Fskill-repair-benchmark --skill 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OpenCV","https:\u002F\u002Fgithub.com\u002Flinyouxue\u002Fskill-repair-benchmark\u002Fblob\u002Fmain\u002Fjpg-ocr-stat\u002Fresult\u002Fskilltta-claude4.7\u002Fgroup_03\u002Frun_03\u002Finputs\u002Fskills\u002Fvideo-frame-extraction\u002FSKILL.md",[],[],{"skillNo":54,"name":55,"nameZh":6,"description":56,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":57,"categories":58,"keywords":59,"publishedAt":19},"01M7E1HAG5R7CJ9C8NYJS771MB","openai-vision","Analyze images and multi-frame sequences using OpenAI GPT vision models","https:\u002F\u002Fgithub.com\u002Flinyouxue\u002Fskill-repair-benchmark\u002Fblob\u002Fmain\u002Fjpg-ocr-stat\u002Fresult\u002Fskilltta-claude4.7\u002Fgroup_03\u002Frun_03\u002Finputs\u002Fskills\u002Fopenai-vision\u002FSKILL.md",[],[],{"skillNo":61,"name":62,"nameZh":6,"description":63,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":64,"categories":65,"keywords":66,"publishedAt":19},"01M7E1H7DADKB6QBWKC2KQ63SZ","image-ocr","Extract text content from images using Tesseract OCR via Python, including structured field extraction from receipts and 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