[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FD0K29VPJM2YHPEKG73AJ2":3,"skill-same:01M6FD0K29VPJM2YHPEKG73AJ2":83},{"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":45,"linkOnly":46,"markdownContent":47,"markdownBody":48,"frontMatter":49,"refName":62,"commitSha":63,"skillDirectory":64,"forksCount":65,"repositoryHtmlUrl":66,"repositoryHomepageUrl":6,"ownerHtmlUrl":67,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":68,"install":69,"resources":82},"01M6FD0K29VPJM2YHPEKG73AJ2","video-router",null,"Route a video-production brief to generation, deterministic composition, supplied-footage editing, or an automatic cross-modal plan before production begins.","boisenoise\u002Fskills-collections","boisenoise","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F193180?v=4","01M6CDBDQK6BDN55ZMA6B6PKBM","01M6CDBDVSJ3JPTBYN26FZ7TZK",13,"MIT","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-video-router\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"video router","router","Video","Media","blob","tree","generation","deterministic","route","cursor","editing","plan","gemini","Composition","brief","https","license","routing","packages","official","codex","github","2026-11-10 10:12:30",false,"---\nname: video-router\ndescription: \"Route a video-production brief to generation, deterministic composition, supplied-footage editing, or an automatic cross-modal plan before production begins.\"\ncategory: media\nrisk: none\nsource: \"https:\u002F\u002Fgithub.com\u002FOrkas-AI\u002FOrkas-VideoStudio\u002Ftree\u002Fdd4a0f40b2bc6c6b0fe6f2e732c9540ffffefe08\u002Fpackages\u002Fskills\u002Fvideo-router\"\nsource_repo: Orkas-AI\u002FOrkas-VideoStudio\nsource_type: official\ndate_added: \"2026-08-07\"\nauthor: Orkas-AI\nlicense: MIT\nlicense_source: \"https:\u002F\u002Fgithub.com\u002FOrkas-AI\u002FOrkas-VideoStudio\u002Fblob\u002Fdd4a0f40b2bc6c6b0fe6f2e732c9540ffffefe08\u002FLICENSE\"\ntags: [video, routing, editing, composition, generation]\ntools: [claude, codex, cursor, gemini]\n---\n\n# Video Router\n\nKnowledge for picking a video production line and locking it before work begins. This skill is read for guidance; it describes **what to decide**, not any tool mechanics.\n\n## When to Use This Skill\n\n- Use before production when a request asks to make, compose, generate, edit, repurpose, or finish a video.\n- Use when a mixed brief needs one explicit primary path or an AUTO end-to-end route.\n- Do not use it to author compositions, generate assets, edit media, or render output; hand those tasks to the relevant production skill after routing.\n\n## Packaged Source Note\n\nThis AAS-ready adaptation preserves the routing rules from the official OrkasVideoStudio `video-router` skill at upstream commit `dd4a0f40b2bc6c6b0fe6f2e732c9540ffffefe08`. It adds catalog metadata, examples, and limitations; it does not bundle or install the OrkasVideoStudio runtime. The immutable `license_source` above points to the upstream MIT license reviewed for this import.\n\n## Unavailable Production Runtime\n\nIf production, rendering, or paid tools are explicitly unavailable, still select the line and return a complete **unexecuted production package** for a clear brief: assumptions, script\u002Fnarration, timed storyboard\u002Fshotlist, exact visible copy and captions, visual\u002Faudio direction, rights-safe asset provenance\u002Ffallbacks, export target, preview checklist, and final encoding\u002Fplayback QA. Clearly distinguish planned from produced media and do not withhold the package behind a direction form.\n\n## The Three Capability Axes\n\nA finished video is built from one or more of three orthogonal axes. Decide which dominate, then lock them.\n\n- **Generate (A)** — AI-generated footage\u002Fimagery: photoreal shots, b-roll, motion, talking-head. Use when the brief needs real-looking or cinematic visuals.\n- **Compose (B)** — deterministic HTML composition: explainers, kinetic typography, motion graphics, captions \u002F lower-thirds \u002F overlays, data viz, title cards, transitions. Use when the visuals are designed rather than filmed. This is the default for explainer\u002Fanimation work.\n- **Edit (C)** — intelligent editing of supplied footage: evidence-based selection\u002Fcleanup, deterministic cut\u002Fjoin\u002Freframe\u002Fcaptions\u002Faudio work, and semantic AI video editing for bounded pixel-level changes.\n\n## Decision Rules\n\n1. Read the brief (topic, aspect ratio, language, duration) and classify the **dominant work object**:\n   - \"explain \u002F teach \u002F animate \u002F motion-graphics \u002F kinetic text\" → **Compose (B)** primary, optionally Generate (A) for b-roll.\n   - \"make footage of \u002F cinematic \u002F a scene of \u002F a character doing\" → **Generate (A)** primary, Compose (B) to overlay captions.\n   - \"cut \u002F clip \u002F trim \u002F repurpose \u002F make highlights \u002F remove or change something in my video\" → **Edit (C)** primary. Keep EDIT as the route even when a billable `operation:\"edit\"` segment is required.\n2. Most explainer\u002Fanimation requests are **Compose-primary**: typographic and motion-graphic scenes assembled as an HTML composition, with AI imagery only where a shot genuinely needs it.\n3. For supplied reference media, classify the requested relationship as `reproduce`, `edit`, or `guide` before choosing execution. Apply the same classification regardless of origin. Images can control content\u002Fidentity\u002Fcomposition\u002Fstructure\u002Fstyle; videos can additionally control motion\u002Ftiming\u002Faudio through temporal anchors.\n4. Aspect ratio drives the canvas: 16:9 → 1920×1080, 9:16 → 1080×1920, 1:1 → 1080×1080.\n\n## End-to-End (AUTO) — When the Job Spans Lines\n\nPick a **single line** when one axis cleanly dominates (just trim a clip; just an explainer; just generate a scene). Route to **AUTO end-to-end** when the deliverable genuinely needs MORE THAN ONE axis woven together — most often the user supplies their own material AND wants finished framing\u002Fvoice\u002Fmotion around it:\n\n- \"trim my clip, add a title card + captions, and a voiceover\" (edit + compose + narration)\n- \"my footage in the middle, generate an opener, compose the stats\" (edit + generate + compose)\n- \"make a finished video from these assets\" where the assets alone are not the deliverable.\n\nAUTO does not abandon the axes — it sequences them through one cross-modal plan (`stage-plan` builds the EDL, `stage-assemble` walks it), delegating each segment back to the generate \u002F compose \u002F edit lines. Choosing AUTO is itself the lock: the *primary* still gets named via the plan's `delivery_promise` (source_led \u002F motion_led \u002F compose_led \u002F hybrid).\n\n## Lock the Runtime\n\n- Decide the primary axis at the brief\u002Fproposal stage and **state it in the proposal**.\n- Once locked, do not silently switch the primary axis mid-run. If a later step reveals the wrong choice, surface it to the user and re-confirm rather than quietly changing course.\n- Layering is fine and expected (e.g. Compose captions over Generated footage); \"locking\" governs the **primary** path, not the allowed overlays.\n\n## Examples\n\n### Compose Primary\n\nRequest: \"Make a 60-second vertical explainer about vector databases with kinetic text and captions.\"\n\nRoute: lock **Compose (B)** primary at 1080×1920. Add Generate (A) only if the approved concept needs original b-roll.\n\n### Edit Primary\n\nRequest: \"Turn my one-hour interview into three captioned highlight clips.\"\n\nRoute: lock **Edit (C)** primary because supplied footage is the dominant work object. Preserve evidence for selections and cleanup.\n\n### AUTO End-to-End\n\nRequest: \"Use my product footage, generate a five-second opener, compose the feature stats, and add one voiceover.\"\n\nRoute: lock **AUTO**, name the delivery promise, and plan the edit, generate, compose, and narration segments in one cross-modal EDL.\n\n## Limitations\n\n- This skill chooses and locks a route; it does not provide a renderer, editor, media generator, or production runtime.\n- Stage names such as `stage-plan` and `stage-assemble` refer to the upstream OrkasVideoStudio workflow and may be unavailable unless the user separately installs or supplies a compatible runtime.\n- Generation provider access, costs, licensing, and safety constraints are outside this router; confirm them before a downstream generation stage.\n- Do not claim media was produced when only an unexecuted production package was prepared.\n\n## Boundary \u002F Non-Goals\n\nThis skill only routes and locks. Semantic editing is not a silent switch to GENERATE: it remains an EDIT\u002FAUTO job with a signed billable video edit segment and explicit original\u002Fpreservation boundary.\n","# Video Router\n\nKnowledge for picking a video production line and locking it before work begins. This skill is read for guidance; it describes **what to decide**, not any tool mechanics.\n\n## When to Use This Skill\n\n- Use before production when a request asks to make, compose, generate, edit, repurpose, or finish a video.\n- Use when a mixed brief needs one explicit primary path or an AUTO end-to-end route.\n- Do not use it to author compositions, generate assets, edit media, or render output; hand those tasks to the relevant production skill after routing.\n\n## Packaged Source Note\n\nThis AAS-ready adaptation preserves the routing rules from the official OrkasVideoStudio `video-router` skill at upstream commit `dd4a0f40b2bc6c6b0fe6f2e732c9540ffffefe08`. It adds catalog metadata, examples, and limitations; it does not bundle or install the OrkasVideoStudio runtime. The immutable `license_source` above points to the upstream MIT license reviewed for this import.\n\n## Unavailable Production Runtime\n\nIf production, rendering, or paid tools are explicitly unavailable, still select the line and return a complete **unexecuted production package** for a clear brief: assumptions, script\u002Fnarration, timed storyboard\u002Fshotlist, exact visible copy and captions, visual\u002Faudio direction, rights-safe asset provenance\u002Ffallbacks, export target, preview checklist, and final encoding\u002Fplayback QA. Clearly distinguish planned from produced media and do not withhold the package behind a direction form.\n\n## The Three Capability Axes\n\nA finished video is built from one or more of three orthogonal axes. Decide which dominate, then lock them.\n\n- **Generate (A)** — AI-generated footage\u002Fimagery: photoreal shots, b-roll, motion, talking-head. Use when the brief needs real-looking or cinematic visuals.\n- **Compose (B)** — deterministic HTML composition: explainers, kinetic typography, motion graphics, captions \u002F lower-thirds \u002F overlays, data viz, title cards, transitions. Use when the visuals are designed rather than filmed. This is the default for explainer\u002Fanimation work.\n- **Edit (C)** — intelligent editing of supplied footage: evidence-based selection\u002Fcleanup, deterministic cut\u002Fjoin\u002Freframe\u002Fcaptions\u002Faudio work, and semantic AI video editing for bounded pixel-level changes.\n\n## Decision Rules\n\n1. Read the brief (topic, aspect ratio, language, duration) and classify the **dominant work object**:\n   - \"explain \u002F teach \u002F animate \u002F motion-graphics \u002F kinetic text\" → **Compose (B)** primary, optionally Generate (A) for b-roll.\n   - \"make footage of \u002F cinematic \u002F a scene of \u002F a character doing\" → **Generate (A)** primary, Compose (B) to overlay captions.\n   - \"cut \u002F clip \u002F trim \u002F repurpose \u002F make highlights \u002F remove or change something in my video\" → **Edit (C)** primary. Keep EDIT as the route even when a billable `operation:\"edit\"` segment is required.\n2. Most explainer\u002Fanimation requests are **Compose-primary**: typographic and motion-graphic scenes assembled as an HTML composition, with AI imagery only where a shot genuinely needs it.\n3. For supplied reference media, classify the requested relationship as `reproduce`, `edit`, or `guide` before choosing execution. Apply the same classification regardless of origin. Images can control content\u002Fidentity\u002Fcomposition\u002Fstructure\u002Fstyle; videos can additionally control motion\u002Ftiming\u002Faudio through temporal anchors.\n4. Aspect ratio drives the canvas: 16:9 → 1920×1080, 9:16 → 1080×1920, 1:1 → 1080×1080.\n\n## End-to-End (AUTO) — When the Job Spans Lines\n\nPick a **single line** when one axis cleanly dominates (just trim a clip; just an explainer; just generate a scene). Route to **AUTO end-to-end** when the deliverable genuinely needs MORE THAN ONE axis woven together — most often the user supplies their own material AND wants finished framing\u002Fvoice\u002Fmotion around it:\n\n- \"trim my clip, add a title card + captions, and a voiceover\" (edit + compose + narration)\n- \"my footage in the middle, generate an opener, compose the stats\" (edit + generate + compose)\n- \"make a finished video from these assets\" where the assets alone are not the deliverable.\n\nAUTO does not abandon the axes — it sequences them through one cross-modal plan (`stage-plan` builds the EDL, `stage-assemble` walks it), delegating each segment back to the generate \u002F compose \u002F edit lines. Choosing AUTO is itself the lock: the *primary* still gets named via the plan's `delivery_promise` (source_led \u002F motion_led \u002F compose_led \u002F hybrid).\n\n## Lock the Runtime\n\n- Decide the primary axis at the brief\u002Fproposal stage and **state it in the proposal**.\n- Once locked, do not silently switch the primary axis mid-run. If a later step reveals the wrong choice, surface it to the user and re-confirm rather than quietly changing course.\n- Layering is fine and expected (e.g. Compose captions over Generated footage); \"locking\" governs the **primary** path, not the allowed overlays.\n\n## Examples\n\n### Compose Primary\n\nRequest: \"Make a 60-second vertical explainer about vector databases with kinetic text and captions.\"\n\nRoute: lock **Compose (B)** primary at 1080×1920. Add Generate (A) only if the approved concept needs original b-roll.\n\n### Edit Primary\n\nRequest: \"Turn my one-hour interview into three captioned highlight clips.\"\n\nRoute: lock **Edit (C)** primary because supplied footage is the dominant work object. Preserve evidence for selections and cleanup.\n\n### AUTO End-to-End\n\nRequest: \"Use my product footage, generate a five-second opener, compose the feature stats, and add one voiceover.\"\n\nRoute: lock **AUTO**, name the delivery promise, and plan the edit, generate, compose, and narration segments in one cross-modal EDL.\n\n## Limitations\n\n- This skill chooses and locks a route; it does not provide a renderer, editor, media generator, or production runtime.\n- Stage names such as `stage-plan` and `stage-assemble` refer to the upstream OrkasVideoStudio workflow and may be unavailable unless the user separately installs or supplies a compatible runtime.\n- Generation provider access, costs, licensing, and safety constraints are outside this router; confirm them before a downstream generation stage.\n- Do not claim media was produced when only an unexecuted production package was prepared.\n\n## Boundary \u002F Non-Goals\n\nThis skill only routes and locks. Semantic editing is not a silent switch to GENERATE: it remains an EDIT\u002FAUTO job with a signed billable video edit segment and explicit original\u002Fpreservation boundary.\n",{"name":5,"risk":50,"tags":51,"tools":54,"author":56,"source":57,"license":14,"category":58,"date_added":59,"description":7,"source_repo":60,"source_type":42,"license_source":61},"none",[52,40,33,53,29],"video","composition",[55,43,32,35],"claude","Orkas-AI","https:\u002F\u002Fgithub.com\u002FOrkas-AI\u002FOrkas-VideoStudio\u002Ftree\u002Fdd4a0f40b2bc6c6b0fe6f2e732c9540ffffefe08\u002Fpackages\u002Fskills\u002Fvideo-router","media","2026-08-07","Orkas-AI\u002FOrkas-VideoStudio","https:\u002F\u002Fgithub.com\u002FOrkas-AI\u002FOrkas-VideoStudio\u002Fblob\u002Fdd4a0f40b2bc6c6b0fe6f2e732c9540ffffefe08\u002FLICENSE","main","7bf2279c8a65758319526a721d5c4b75683aec9c","skills\u002Fantigravity-video-router",3,"https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections","https:\u002F\u002Fgithub.com\u002Fboisenoise","2026-11-14 14:18:11",{"source":8,"skillName":5,"commands":70,"prompt":80,"zipAvailable":81},[71,74,77],{"tool":72,"command":73},"npx","npx skills add boisenoise\u002Fskills-collections --skill video-router",{"tool":75,"command":76},"bunx","bunx skills add boisenoise\u002Fskills-collections --skill video-router",{"tool":78,"command":79},"pnpm","pnpm dlx skills add boisenoise\u002Fskills-collections --skill video-router","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-video-router\u002FSKILL.md",true,[],[84,113,136,161,180,202],{"skillNo":85,"name":86,"nameZh":6,"description":87,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":88,"licenseFileUrl":89,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":45},"01M6WNH92BHVFXHGPDZCPJ0AG0","web-access","Use Treg for public web or platform data only when existing search, browser and connected tools cannot cover the task, with explicit cost and data boundaries.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-web-access\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-web-access\u002FSKILL.md",[],[93,94,95,42,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112],"web","access","web access","development","browser","search","data","Tools","read","fetch","only","youtube","free tools","platform","critical","free","cover","normal","when","2026",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":88,"licenseFileUrl":117,"sourceHtmlUrl":118,"categories":119,"keywords":123,"publishedAt":45},"01M6WNF9XAYAB2CZDDJBAKNM93","treg","Use the Treg CLI or MCP catalog to discover, price and call authorized external tools with team-scoped credentials and a user-approved budget.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-treg\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-treg\u002FSKILL.md",[120],{"categoryNo":121,"categoryName":122,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[115,124,125,44,42,96,39,100,126,127,128,129,130,131,132,107,133,134,135,27,112],"MCP","cli","Budget","credentials","team","catalog","use","call","discover","external tools","with","scoped",{"skillNo":137,"name":138,"nameZh":6,"description":139,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":88,"licenseFileUrl":140,"sourceHtmlUrl":141,"categories":142,"keywords":148,"publishedAt":45},"01M6WN93MEAZ4E41DYAHJRPHQT","recruit","Turn a job description into an evidence-linked candidate shortlist through Treg, with job-related ranking and optional authorized business contact enrichment.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-recruit\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-recruit\u002FSKILL.md",[143],{"categoryNo":144,"categoryName":145,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000038","人力资源","PROFESSION","适用职业",[138,44,42,39,38,149,150,151,152,153,107,154,155,156,134,157,158,159,160,27,115,112],"email","enrichment","business","evidence","phone","ranking","post","job description","for","person","candidate","reason",{"skillNo":162,"name":163,"nameZh":6,"description":164,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":88,"licenseFileUrl":165,"sourceHtmlUrl":166,"categories":167,"keywords":168,"publishedAt":45},"01M6WN8R5RXSMHM9B4D9FAFX42","rea-growth","Analyze a company’s public growth and content through Treg, distinguish observations from hypotheses, and produce an evidence-linked playbook within an approved budget.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-rea-growth\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-rea-growth\u002FSKILL.md",[],[169,170,171,44,42,39,172,173,38,174,126,175,176,177,152,107,178,179,27,115,112],"growth","rea","rea growth","produce","content","playbook","marketing","analyze","public","observations","company",{"skillNo":181,"name":182,"nameZh":6,"description":183,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":88,"licenseFileUrl":184,"sourceHtmlUrl":185,"categories":186,"keywords":187,"publishedAt":45},"01M6WN2EVE3RQRGWAKBT4S7YT2","make-ugc","Create original AI UGC-style product videos through Treg: research hooks, approve a licensed presenter and voice, generate clips, add captions and report costs.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-make-ugc\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-make-ugc\u002FSKILL.md",[],[188,189,44,190,42,191,39,25,192,193,194,195,107,196,197,198,199,200,201,27],"make","make ugc","research","create","Captions","ads","short","hooks","head","style","niche","trending","talking-head","approve",{"skillNo":203,"name":204,"nameZh":6,"description":205,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":88,"licenseFileUrl":206,"sourceHtmlUrl":207,"categories":208,"keywords":209,"publishedAt":45},"01M6WN10ARAA63Y8K1YNGXJ2RM","lead-signals","Find and qualify public buying signals through Treg, rank fitting business accounts and optionally enrich authorized business contact information.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-lead-signals\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-lead-signals\u002FSKILL.md",[],[210,211,212,44,42,39,213,214,151,215,216,107,217,218,219,220,221,222,223,27],"signals","lead","lead signals","how","find","ready","as","how to","qualify","people","information","enrich","changes","funding"]