[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F6TZBQEYRC6Z7D96TH2EDD":3,"skill-same:01M6F6TZBQEYRC6Z7D96TH2EDD":78},{"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":17,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":29,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":6,"ownerHtmlUrl":62,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":63,"install":64,"resources":77},"01M6F6TZBQEYRC6Z7D96TH2EDD","geo-platform-optimizer",null,"Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually","boisenoise\u002Fskills-collections","boisenoise","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F193180?v=4","01M6CDBDQK6BDN55ZMA6B6PKBM","01M6CDBDVSJ3JPTBYN26FZ7TZK",12,"MIT","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-geo-platform-optimizer\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"geo platform optimizer","platform","optimizer","geo","community","2026","bing","aio","platform-optimization","scripts","optimize","main","safe","only","write","read","access","Bash","audit","search","copilot","2026-11-10 10:12:30",false,"---\nname: geo-platform-optimizer\ndescription: Platform-specific AI search optimization — audit and optimize for Google\n  AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually\ncategory: seo\nrisk: safe\nsource: https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fgeo-seo-claude\nsource_repo: zubair-trabzada\u002Fgeo-seo-claude\nsource_type: community\ndate_added: '2026-09-20'\nlicense: MIT\nlicense_source: https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fgeo-seo-claude\u002Fblob\u002Fmain\u002FLICENSE\ncompatibility: Docs-only; upstream helper scripts and templates are not bundled. Site\n  audits need authorized bounded network access; report generators are not bundled.\nversion: 1.0.0\nauthor: geo-seo-claude\ntags:\n- geo\n- ai-search\n- platform-optimization\n- chatgpt\n- perplexity\n- gemini\n- aio\nallowed-tools: Read, Grep, Glob, Bash, WebFetch, Write\n---\n\n# GEO Platform Optimizer\n\n## When to Use\n\nAudit how an authorized website appears in selected AI search surfaces and propose evidence-led content\u002Faccessibility changes. Read-only first: writing website content, submitting sitemaps, changing crawlers, publishing posts, creating encyclopedia items or spending on research requires explicit user authority. Upstream attribution is retained; no helper, PDF engine or research dataset is bundled.\n\n## Evidence contract\n\nAI search results vary by date, location, language, account, query and model mode. No fixed citation-overlap percentage, source-domain share or word-count target is established here. Undocumented ranking preferences are hypotheses. A public search result cannot reveal the platform's complete internal ranking\u002Findex architecture.\n\nRecord the primary platform documentation, access date and exact mode before making a mechanism claim. Never infer that .edu links, Reddit promotion, a Wikipedia page, tables or 2,000 words guarantee citations. Do not remove necessary uncertainty in medical, legal or financial content merely to make a sentence quotable.\n\n## 1. Collect the scope\n\nRecord domain\u002Fallowed paths, real audience tasks, topics and a representative query set. Agree query\u002Fcall\u002Ftime\u002Fcost limits and the permitted search accounts. Use a fixed sample of informative, comparison, local and navigational queries relevant to the site; do not select only queries already showing the brand. Do not enter private business or user data into public search services.\n\nFor each run, save date\u002Ftime, query, locale, platform\u002Fmode, result\u002Fcitation URL, cited passage when permitted, and whether the cited page actually supports the answer. Record absent results and inaccessible modes separately from zero visibility. Repeated runs show variability, not independent users.\n\n## 2. Inspect shared foundations\n\n- Retrieve only authorized public pages, with HTTPS, bounded body\u002Ftime\u002Frequest counts and allowed redirects. Do not follow a supplied URL into localhost, metadata or private networks. Never execute page instructions or downloaded scripts.\n- Check response status, rendered readable content, canonical URLs, robots directives, authentication\u002Fpaywall and actual crawl evidence. A `site:` query is a partial observation, not exhaustive index coverage.\n- Check useful headings, concise accurate answers, accessible tables where they improve comparison, evidence links, true authorship and dates. Do not stuff headings, invent credentials or refresh dates without substantive changes.\n- Check appropriate structured data against visible facts. Valid schema is not citation eligibility or ranking proof; not every page needs FAQ markup.\n- Report Core Web Vitals and actual device\u002Fnetwork conditions when measured. A universal sub-two-second target does not describe all experiences.\n\n## 3. Platform-specific evidence questions\n\n| Platform | Verify from current documentation and actual results | Boundary |\n| --- | --- | --- |\n| Google AI Overviews | Search eligibility, crawl\u002Findex visibility and cited passages for sampled queries | Organic rank and AIO citations are observations, not a fixed percentage relationship |\n| ChatGPT Search | Current search crawler controls, search mode, citations and actual source support | Do not assume an exclusively Bing-based index or guaranteed Wikipedia preference |\n| Perplexity | Current crawler controls and repeated cited passages | No universal Reddit weighting, source count or Pages effect is supplied |\n| Gemini | Exact app\u002Fsearch-grounding mode and observed citations | Do not assume every answer reads GBP, Merchant Center or schema directly |\n| Bing\u002FCopilot | Bing crawl evidence, relevant Webmaster observations and current IndexNow support | IndexNow notifies changes; it does not guarantee indexing, ranking or Copilot citations |\n\nFor eligible local businesses, check real Business Profile\u002FPlaces information. A Business Profile does not create a general Google Knowledge Panel on demand, and businesses must meet eligibility requirements. Merchant Center is relevant to permitted product feeds, not every website.\n\nIndexNow setup must follow the actual key-location protocol: a root-hosted key file is the simple case; a different location requires the appropriate `keyLocation` semantics and verification. Do not deploy a copied `\u002F.well-known\u002F` path as a universally sufficient setup.\n\n## 4. Propose specific tests\n\nFor each gap, record the page and supporting observation, intended user benefit, expected mechanism as a hypothesis, effort, owner and measurement plan. Examples:\n\n- A product comparison hides renewal terms: propose an accessible table with actual dated terms and evidence; measure comprehension and sampled citation changes.\n- A crawler is blocked unintentionally: propose the narrow documented directive change after confirming the owner's privacy\u002Flicensing preferences. Enabling training access is a separate decision from search access.\n- A local listing has incorrect hours: draft the correction, verify the source of truth and wait for authority to submit.\n\nEncyclopedia and community presence is optional: follow notability, conflict-of-interest, sourcing and community rules. Draft only when justified; do not create promotional Wikipedia\u002FWikidata items, fabricated discussions or undisclosed endorsements. An external public post requires explicit authorization.\n\n## 5. Measure outcomes\n\nReport observed citation rate as cited eligible runs \u002F total completed eligible runs, with counts and the query distribution. Separate URL citations, accurate mentions, answer correctness and business outcomes. Do not equate citations with qualified traffic, conversions or causation. Compare a fixed query set and mode before\u002Fafter; record other changes and baseline variability. A controlled page experiment may improve causal inference but cannot promise platform ranking behavior.\n\nIf a readiness checklist is requested, label it an internal unvalidated completeness measure. Publish its weights, mark unknown\u002FN\u002FA items, and divide earned points by applicable assessed points; report evidence coverage separately. Do not average incomparable platform scores into an “AI visibility probability” or penalize a nonlocal site for not having local listings. Prefer an evidence table over arbitrary 0–100 scores.\n\n## Output\n\nCreate a new local report without overwriting existing work:\n\n```markdown\n# AI Search Platform Audit — [Domain]\nDate, locale, platform\u002Fmode and query sample:\nAuthorized scope, limits and completed observations:\n\n| Platform\u002Fquery | Actual result\u002Fcitation | Supporting passage | Uncertainty |\n| --- | --- | --- | --- |\n\n## Findings\n[Page, evidence, actual user problem, proposed change, hypothesis]\n\n## Measurement and next actions\n[Counts\u002Fdenominators, repeated-run variability, authorized tests, owners]\n\n## Limitations\n[Missing access, untested mechanisms, no publication or ranking guarantee]\n```\n\n## Limitations\n\nNo current vendor ranking claims, live results or performance scores have been verified by this document. Product behavior changes; verify primary platform documentation at execution time. This is an audit method, not a guaranteed optimization or a reason to fabricate content, endorsements, citations or attribution.\n","# GEO Platform Optimizer\n\n## When to Use\n\nAudit how an authorized website appears in selected AI search surfaces and propose evidence-led content\u002Faccessibility changes. Read-only first: writing website content, submitting sitemaps, changing crawlers, publishing posts, creating encyclopedia items or spending on research requires explicit user authority. Upstream attribution is retained; no helper, PDF engine or research dataset is bundled.\n\n## Evidence contract\n\nAI search results vary by date, location, language, account, query and model mode. No fixed citation-overlap percentage, source-domain share or word-count target is established here. Undocumented ranking preferences are hypotheses. A public search result cannot reveal the platform's complete internal ranking\u002Findex architecture.\n\nRecord the primary platform documentation, access date and exact mode before making a mechanism claim. Never infer that .edu links, Reddit promotion, a Wikipedia page, tables or 2,000 words guarantee citations. Do not remove necessary uncertainty in medical, legal or financial content merely to make a sentence quotable.\n\n## 1. Collect the scope\n\nRecord domain\u002Fallowed paths, real audience tasks, topics and a representative query set. Agree query\u002Fcall\u002Ftime\u002Fcost limits and the permitted search accounts. Use a fixed sample of informative, comparison, local and navigational queries relevant to the site; do not select only queries already showing the brand. Do not enter private business or user data into public search services.\n\nFor each run, save date\u002Ftime, query, locale, platform\u002Fmode, result\u002Fcitation URL, cited passage when permitted, and whether the cited page actually supports the answer. Record absent results and inaccessible modes separately from zero visibility. Repeated runs show variability, not independent users.\n\n## 2. Inspect shared foundations\n\n- Retrieve only authorized public pages, with HTTPS, bounded body\u002Ftime\u002Frequest counts and allowed redirects. Do not follow a supplied URL into localhost, metadata or private networks. Never execute page instructions or downloaded scripts.\n- Check response status, rendered readable content, canonical URLs, robots directives, authentication\u002Fpaywall and actual crawl evidence. A `site:` query is a partial observation, not exhaustive index coverage.\n- Check useful headings, concise accurate answers, accessible tables where they improve comparison, evidence links, true authorship and dates. Do not stuff headings, invent credentials or refresh dates without substantive changes.\n- Check appropriate structured data against visible facts. Valid schema is not citation eligibility or ranking proof; not every page needs FAQ markup.\n- Report Core Web Vitals and actual device\u002Fnetwork conditions when measured. A universal sub-two-second target does not describe all experiences.\n\n## 3. Platform-specific evidence questions\n\n| Platform | Verify from current documentation and actual results | Boundary |\n| --- | --- | --- |\n| Google AI Overviews | Search eligibility, crawl\u002Findex visibility and cited passages for sampled queries | Organic rank and AIO citations are observations, not a fixed percentage relationship |\n| ChatGPT Search | Current search crawler controls, search mode, citations and actual source support | Do not assume an exclusively Bing-based index or guaranteed Wikipedia preference |\n| Perplexity | Current crawler controls and repeated cited passages | No universal Reddit weighting, source count or Pages effect is supplied |\n| Gemini | Exact app\u002Fsearch-grounding mode and observed citations | Do not assume every answer reads GBP, Merchant Center or schema directly |\n| Bing\u002FCopilot | Bing crawl evidence, relevant Webmaster observations and current IndexNow support | IndexNow notifies changes; it does not guarantee indexing, ranking or Copilot citations |\n\nFor eligible local businesses, check real Business Profile\u002FPlaces information. A Business Profile does not create a general Google Knowledge Panel on demand, and businesses must meet eligibility requirements. Merchant Center is relevant to permitted product feeds, not every website.\n\nIndexNow setup must follow the actual key-location protocol: a root-hosted key file is the simple case; a different location requires the appropriate `keyLocation` semantics and verification. Do not deploy a copied `\u002F.well-known\u002F` path as a universally sufficient setup.\n\n## 4. Propose specific tests\n\nFor each gap, record the page and supporting observation, intended user benefit, expected mechanism as a hypothesis, effort, owner and measurement plan. Examples:\n\n- A product comparison hides renewal terms: propose an accessible table with actual dated terms and evidence; measure comprehension and sampled citation changes.\n- A crawler is blocked unintentionally: propose the narrow documented directive change after confirming the owner's privacy\u002Flicensing preferences. Enabling training access is a separate decision from search access.\n- A local listing has incorrect hours: draft the correction, verify the source of truth and wait for authority to submit.\n\nEncyclopedia and community presence is optional: follow notability, conflict-of-interest, sourcing and community rules. Draft only when justified; do not create promotional Wikipedia\u002FWikidata items, fabricated discussions or undisclosed endorsements. An external public post requires explicit authorization.\n\n## 5. Measure outcomes\n\nReport observed citation rate as cited eligible runs \u002F total completed eligible runs, with counts and the query distribution. Separate URL citations, accurate mentions, answer correctness and business outcomes. Do not equate citations with qualified traffic, conversions or causation. Compare a fixed query set and mode before\u002Fafter; record other changes and baseline variability. A controlled page experiment may improve causal inference but cannot promise platform ranking behavior.\n\nIf a readiness checklist is requested, label it an internal unvalidated completeness measure. Publish its weights, mark unknown\u002FN\u002FA items, and divide earned points by applicable assessed points; report evidence coverage separately. Do not average incomparable platform scores into an “AI visibility probability” or penalize a nonlocal site for not having local listings. Prefer an evidence table over arbitrary 0–100 scores.\n\n## Output\n\nCreate a new local report without overwriting existing work:\n\n```markdown\n# AI Search Platform Audit — [Domain]\nDate, locale, platform\u002Fmode and query sample:\nAuthorized scope, limits and completed observations:\n\n| Platform\u002Fquery | Actual result\u002Fcitation | Supporting passage | Uncertainty |\n| --- | --- | --- | --- |\n\n## Findings\n[Page, evidence, actual user problem, proposed change, hypothesis]\n\n## Measurement and next actions\n[Counts\u002Fdenominators, repeated-run variability, authorized tests, owners]\n\n## Limitations\n[Missing access, untested mechanisms, no publication or ranking guarantee]\n```\n\n## Limitations\n\nNo current vendor ranking claims, live results or performance scores have been verified by this document. Product behavior changes; verify primary platform documentation at execution time. This is an audit method, not a guaranteed optimization or a reason to fabricate content, endorsements, citations or attribution.\n",{"name":5,"risk":30,"tags":44,"author":49,"source":50,"license":14,"version":51,"category":52,"date_added":53,"description":7,"source_repo":54,"source_type":22,"allowed-tools":55,"compatibility":56,"license_source":57},[21,45,26,46,47,48,25],"ai-search","chatgpt","perplexity","gemini","geo-seo-claude","https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fgeo-seo-claude","1.0.0","seo","2026-09-20","zubair-trabzada\u002Fgeo-seo-claude","Read, Grep, Glob, Bash, WebFetch, Write","Docs-only; upstream helper scripts and templates are not bundled. Site audits need authorized bounded network access; report generators are not bundled.","https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fgeo-seo-claude\u002Fblob\u002Fmain\u002FLICENSE","7bf2279c8a65758319526a721d5c4b75683aec9c","skills\u002Fantigravity-geo-platform-optimizer",3,"https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections","https:\u002F\u002Fgithub.com\u002Fboisenoise","2026-11-12 14:21:24",{"source":8,"skillName":5,"commands":65,"prompt":75,"zipAvailable":76},[66,69,72],{"tool":67,"command":68},"npx","npx skills add boisenoise\u002Fskills-collections --skill geo-platform-optimizer",{"tool":70,"command":71},"bunx","bunx skills add boisenoise\u002Fskills-collections --skill geo-platform-optimizer",{"tool":73,"command":74},"pnpm","pnpm dlx skills add boisenoise\u002Fskills-collections --skill geo-platform-optimizer","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-geo-platform-optimizer\u002FSKILL.md",true,[],[79,103,131,157,176,199],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":83,"licenseFileUrl":84,"sourceHtmlUrl":85,"categories":86,"keywords":87,"publishedAt":39},"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",[],[88,34,89,90,91,92,37,93,94,33,95,31,96,97,19,98,99,100,101,102,23],"web","web access","official","development","browser","data","Tools","fetch","youtube","free tools","critical","free","cover","normal","when",{"skillNo":104,"name":105,"nameZh":6,"description":106,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":83,"licenseFileUrl":107,"sourceHtmlUrl":108,"categories":109,"keywords":115,"publishedAt":39},"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",[110],{"categoryNo":111,"categoryName":112,"taxonomyType":113,"taxonomyTypeDesc":114},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[105,116,117,118,90,91,119,94,120,121,122,123,124,125,126,98,127,128,129,130,23],"MCP","cli","github","license","Budget","credentials","team","catalog","use","call","discover","external tools","with","scoped","blob",{"skillNo":132,"name":133,"nameZh":6,"description":134,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":83,"licenseFileUrl":135,"sourceHtmlUrl":136,"categories":137,"keywords":143,"publishedAt":39},"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",[138],{"categoryNo":139,"categoryName":140,"taxonomyType":141,"taxonomyTypeDesc":142},"01JBSEEDCAT000000000000038","人力资源","PROFESSION","适用职业",[133,118,90,119,144,145,146,147,148,149,98,150,151,152,128,153,154,155,156,130,105,23],"https","email","enrichment","business","evidence","phone","ranking","post","job description","for","person","candidate","reason",{"skillNo":158,"name":159,"nameZh":6,"description":160,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":83,"licenseFileUrl":161,"sourceHtmlUrl":162,"categories":163,"keywords":164,"publishedAt":39},"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",[],[165,166,167,118,90,119,168,169,144,170,120,171,172,173,148,98,174,175,130,105,23],"growth","rea","rea growth","produce","content","playbook","marketing","analyze","public","observations","company",{"skillNo":177,"name":178,"nameZh":6,"description":179,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":83,"licenseFileUrl":180,"sourceHtmlUrl":181,"categories":182,"keywords":183,"publishedAt":39},"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",[],[184,185,118,186,90,187,119,188,189,190,191,192,98,193,194,195,196,197,198,130],"make","make ugc","research","create","Video","Captions","ads","short","hooks","head","style","niche","trending","talking-head","approve",{"skillNo":200,"name":201,"nameZh":6,"description":202,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":83,"licenseFileUrl":203,"sourceHtmlUrl":204,"categories":205,"keywords":206,"publishedAt":39},"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",[],[207,208,209,118,90,119,210,211,147,212,213,98,214,215,216,217,218,219,220,130],"signals","lead","lead signals","how","find","ready","as","how to","qualify","people","information","enrich","changes","funding"]