[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CW9243AHFE6VRFFP0HA8PK":3,"skill-same:01M6CW9243AHFE6VRFFP0HA8PK":263},{"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":23,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":48,"repositoryHtmlUrl":49,"repositoryHomepageUrl":50,"ownerHtmlUrl":51,"ownerBlogUrl":52,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M6CW9243AHFE6VRFFP0HA8PK","accessibility",null,"Unified WCAG 2.2 accessibility audit. Crawl mode: score pages across all 86 success criteria. Session mode: return WCAG checklist for the requested level. Optional axe-core engine (Deque: automation detects ~57% of accessibility issues; manual testing still required).","humanity4ai\u002Fproject_human","humanity4ai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F264610434?v=4","01M6CW8G47GYWEH3JWT56S63Q6","Simon Mak","01M6CW8G8DV0VBMBAFY89RZ3X0",5,"MIT","https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[5,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"testing","automation","core","issues","audit","accessibility audit","WCAG","engine","session","checklist","crawl","human","across","project","2026-11-10 10:12:30",false,"---\nname: accessibility\ndescription: \"Unified WCAG 2.2 accessibility audit. Crawl mode: score pages across all 86 success criteria. Session mode: return WCAG checklist for the requested level. Optional axe-core engine (Deque: automation detects ~57% of accessibility issues; manual testing still required).\"\nversion: 1.0.0\nlicense: MIT\nauthor: project-human\n---\n\n# Accessibility Audit\n\n## Purpose\n\nUnified WCAG 2.2 accessibility audit covering all 86 success criteria across 4 POUR principles (Perceivable, Operable, Understandable, Robust).\n\nTwo modes:\n- **Crawl mode**: Provide `pages: [{url, html}]` and get per-page scoring (0-100) with ranking, site aggregate, and detailed per-criterion findings. Manual-only criteria are flagged with `manual_reason`.\n- **Session mode**: Query the user's required WCAG level (A, AA, or AAA) and receive the complete checklist. The agent enforces all criteria in the checklist throughout the session.\n\nTwo analysis engines:\n- **Regex engine** (built-in, zero dependencies): 13 regex-based scoring functions covering the 41 fully automatable criteria (~48% of all 86; per `wcag-criteria.ts` automatable flags).\n- **axe-core engine** (optional, `pnpm add axe-core`): 57 rule checks providing ~80% automated coverage. Auto-detected at import time — silent fallback if not installed.\n\n## Boundaries\n\n### Always\n- Score real HTML against all automatable criteria\n- Return structured per-criterion results with WCAG SC ID references\n- Distinguish automated findings from manual-review items\n\n### Never\n- Claim legal compliance\n- Score criteria requiring visual inspection as if automated\n- Make external network calls\n\n## Level-Aware Scoring\n- Color contrast: no Level A requirement; AA=4.5:1 normal text \u002F 3:1 large text (SC 1.4.3); AAA=7:1 \u002F 4.5:1 (SC 1.4.6)\n- Level A: 31 criteria (18 automatable, 4 partial)\n- Level AA: 55 criteria cumulative (31 automatable, 8 partial)\n- Level AAA: 86 criteria cumulative (41 automatable, 15 partial)\n\n## References\n\nImplementation guidance and enterprise patterns (merged from `wcag-aaa-web-design`):\n\n- `references\u002Fwcag-aaa-checklist.md` — all 86 WCAG 2.2 criteria with implementation guidance and AAA design implications\n- `references\u002Fcorporate-design-system.md` — AAA-verified color palette with precomputed contrast ratios, type scale, BEM architecture\n- `references\u002Faria-patterns.md` — ARIA widget patterns (modals, tabs, accordions, focus traps)\n- `references\u002Fform-patterns.md` — accessible form design and validation\n- `references\u002Fsecurity-error-handling.md` — OWASP-aligned secure error handling (CSP, CSRF, output encoding)\n- `references\u002Fapplication-states.md` — loading, empty, and error state patterns\n- `references\u002Fdata-presentation.md` — accessible data table and density patterns\n- `references\u002Fnavigation-patterns.md` — sidebar, breadcrumb, and wayfinding patterns\n- `references\u002Fresponsive-breakpoints.md` — mobile-first breakpoint system\n- `references\u002Fcorporate-ux-patterns.md` — enterprise UX conventions\n\n## Templates\n\nAAA-verified starter templates in `templates\u002F`: design tokens with precomputed 7:1 contrast palette (`tokens.css`), BEM component library (`components.css`), semantic HTML partials, and defensive vanilla JS (`main.js`). A standalone contrast checker with auto-suggestion engine is included as `templates\u002Fcheck_contrast.py` (stdlib-only Python; can audit `--color-*` tokens directly from `tokens.css`).\n","# Accessibility Audit\n\n## Purpose\n\nUnified WCAG 2.2 accessibility audit covering all 86 success criteria across 4 POUR principles (Perceivable, Operable, Understandable, Robust).\n\nTwo modes:\n- **Crawl mode**: Provide `pages: [{url, html}]` and get per-page scoring (0-100) with ranking, site aggregate, and detailed per-criterion findings. Manual-only criteria are flagged with `manual_reason`.\n- **Session mode**: Query the user's required WCAG level (A, AA, or AAA) and receive the complete checklist. The agent enforces all criteria in the checklist throughout the session.\n\nTwo analysis engines:\n- **Regex engine** (built-in, zero dependencies): 13 regex-based scoring functions covering the 41 fully automatable criteria (~48% of all 86; per `wcag-criteria.ts` automatable flags).\n- **axe-core engine** (optional, `pnpm add axe-core`): 57 rule checks providing ~80% automated coverage. Auto-detected at import time — silent fallback if not installed.\n\n## Boundaries\n\n### Always\n- Score real HTML against all automatable criteria\n- Return structured per-criterion results with WCAG SC ID references\n- Distinguish automated findings from manual-review items\n\n### Never\n- Claim legal compliance\n- Score criteria requiring visual inspection as if automated\n- Make external network calls\n\n## Level-Aware Scoring\n- Color contrast: no Level A requirement; AA=4.5:1 normal text \u002F 3:1 large text (SC 1.4.3); AAA=7:1 \u002F 4.5:1 (SC 1.4.6)\n- Level A: 31 criteria (18 automatable, 4 partial)\n- Level AA: 55 criteria cumulative (31 automatable, 8 partial)\n- Level AAA: 86 criteria cumulative (41 automatable, 15 partial)\n\n## References\n\nImplementation guidance and enterprise patterns (merged from `wcag-aaa-web-design`):\n\n- `references\u002Fwcag-aaa-checklist.md` — all 86 WCAG 2.2 criteria with implementation guidance and AAA design implications\n- `references\u002Fcorporate-design-system.md` — AAA-verified color palette with precomputed contrast ratios, type scale, BEM architecture\n- `references\u002Faria-patterns.md` — ARIA widget patterns (modals, tabs, accordions, focus traps)\n- `references\u002Fform-patterns.md` — accessible form design and validation\n- `references\u002Fsecurity-error-handling.md` — OWASP-aligned secure error handling (CSP, CSRF, output encoding)\n- `references\u002Fapplication-states.md` — loading, empty, and error state patterns\n- `references\u002Fdata-presentation.md` — accessible data table and density patterns\n- `references\u002Fnavigation-patterns.md` — sidebar, breadcrumb, and wayfinding patterns\n- `references\u002Fresponsive-breakpoints.md` — mobile-first breakpoint system\n- `references\u002Fcorporate-ux-patterns.md` — enterprise UX conventions\n\n## Templates\n\nAAA-verified starter templates in `templates\u002F`: design tokens with precomputed 7:1 contrast palette (`tokens.css`), BEM component library (`components.css`), semantic HTML partials, and defensive vanilla JS (`main.js`). A standalone contrast checker with auto-suggestion engine is included as `templates\u002Fcheck_contrast.py` (stdlib-only Python; can audit `--color-*` tokens directly from `tokens.css`).\n",{"name":5,"author":43,"license":15,"version":44,"description":7},"project-human","1.0.0","main","48c7258ae35805d174d64de2526e57be60ade909","skills\u002Faccessibility",1,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human","https:\u002F\u002Fhumanity4ai.github.io\u002Fproject_human\u002F","https:\u002F\u002Fgithub.com\u002Fhumanity4ai","www.simonmak.com","2026-11-07 08:42:37",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add humanity4ai\u002Fproject_human --skill accessibility",{"tool":60,"command":61},"bunx","bunx skills add humanity4ai\u002Fproject_human --skill accessibility",{"tool":63,"command":64},"pnpm","pnpm dlx skills add humanity4ai\u002Fproject_human --skill accessibility","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002FSKILL.md",true,[68,74,79,83,87,91,95,99,103,107,111,115,119,123,127,131,135,139,143,147,151,157,163,167,171,175,179,183,187,191,195,199,203,207,211,215,219,223,227,231,235,239,243,247,251,255,259],{"path":69,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":72,"sourceHtmlUrl":73},"CHANGELOG.md","REFERENCE","参考文档",719,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002FCHANGELOG.md",{"path":75,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":77,"sourceHtmlUrl":78},"LICENSE","许可证",1083,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002FLICENSE",{"path":80,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":81,"sourceHtmlUrl":82},"MigrationNotes.md",4815,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FMigrationNotes.md",{"path":84,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":85,"sourceHtmlUrl":86},"QuickReference.md",1674,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FQuickReference.md",{"path":88,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002Fapplication-states.md",6085,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Freferences\u002Fapplication-states.md",{"path":92,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":93,"sourceHtmlUrl":94},"references\u002Faria-patterns.md",8184,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Freferences\u002Faria-patterns.md",{"path":96,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":97,"sourceHtmlUrl":98},"references\u002Fcorporate-design-system.md",9885,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Freferences\u002Fcorporate-design-system.md",{"path":100,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":101,"sourceHtmlUrl":102},"references\u002Fcorporate-ux-patterns.md",4999,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Freferences\u002Fcorporate-ux-patterns.md",{"path":104,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":105,"sourceHtmlUrl":106},"references\u002Fdata-presentation.md",3725,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Freferences\u002Fdata-presentation.md",{"path":108,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":109,"sourceHtmlUrl":110},"references\u002Fform-patterns.md",6202,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Freferences\u002Fform-patterns.md",{"path":112,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":113,"sourceHtmlUrl":114},"references\u002Fnavigation-patterns.md",3531,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Freferences\u002Fnavigation-patterns.md",{"path":116,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":117,"sourceHtmlUrl":118},"references\u002Fresponsive-breakpoints.md",5263,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Freferences\u002Fresponsive-breakpoints.md",{"path":120,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":121,"sourceHtmlUrl":122},"references\u002Fsecurity-error-handling.md",7656,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Freferences\u002Fsecurity-error-handling.md",{"path":124,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":125,"sourceHtmlUrl":126},"references\u002Fwcag-aaa-checklist.md",11692,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Freferences\u002Fwcag-aaa-checklist.md",{"path":128,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":129,"sourceHtmlUrl":130},"rubric.md",1329,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Frubric.md",{"path":132,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":133,"sourceHtmlUrl":134},"scenarios\u002Fscenarios.yaml",2794,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Fscenarios\u002Fscenarios.yaml",{"path":136,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":137,"sourceHtmlUrl":138},"schemas\u002Faccessibility.input.json",1609,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Fschemas\u002Faccessibility.input.json",{"path":140,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":141,"sourceHtmlUrl":142},"schemas\u002Faccessibility.output.json",1884,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Fschemas\u002Faccessibility.output.json",{"path":144,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":145,"sourceHtmlUrl":146},"skill.yaml",647,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Fskill.yaml",{"path":148,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":149,"sourceHtmlUrl":150},"templates\u002Fbase.html",5954,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Ftemplates\u002Fbase.html",{"path":152,"resourceType":153,"resourceTypeDesc":154,"sizeBytes":155,"sourceHtmlUrl":156},"templates\u002Fcheck_contrast.py","SCRIPT","脚本",9969,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Ftemplates\u002Fcheck_contrast.py",{"path":158,"resourceType":159,"resourceTypeDesc":160,"sizeBytes":161,"sourceHtmlUrl":162},"templates\u002Fcomponents.css","OTHER","其他",14708,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Ftemplates\u002Fcomponents.css",{"path":164,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":165,"sourceHtmlUrl":166},"templates\u002Fdata-table.html",5177,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Ftemplates\u002Fdata-table.html",{"path":168,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":169,"sourceHtmlUrl":170},"templates\u002Fempty-state.html",2297,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Ftemplates\u002Fempty-state.html",{"path":172,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":173,"sourceHtmlUrl":174},"templates\u002Ffooter.html",3398,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Ftemplates\u002Ffooter.html",{"path":176,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":177,"sourceHtmlUrl":178},"templates\u002Fheader.html",3739,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Ftemplates\u002Fheader.html",{"path":180,"resourceType":153,"resourceTypeDesc":154,"sizeBytes":181,"sourceHtmlUrl":182},"templates\u002Fmain.js",10103,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Ftemplates\u002Fmain.js",{"path":184,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":185,"sourceHtmlUrl":186},"Templates\u002FMarketResearch.md",6701,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FTemplates\u002FMarketResearch.md",{"path":188,"resourceType":159,"resourceTypeDesc":160,"sizeBytes":189,"sourceHtmlUrl":190},"templates\u002Fresponsive.css",4627,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Ftemplates\u002Fresponsive.css",{"path":192,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":193,"sourceHtmlUrl":194},"templates\u002Fsidebar-nav.html",5108,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Ftemplates\u002Fsidebar-nav.html",{"path":196,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":197,"sourceHtmlUrl":198},"Templates\u002FThreatLandscape.md",7241,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FTemplates\u002FThreatLandscape.md",{"path":200,"resourceType":159,"resourceTypeDesc":160,"sizeBytes":201,"sourceHtmlUrl":202},"templates\u002Ftokens.css",12053,"https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Faccessibility\u002Ftemplates\u002Ftokens.css",{"path":204,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":205,"sourceHtmlUrl":206},"UrlVerificationProtocol.md",1920,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FUrlVerificationProtocol.md",{"path":208,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":209,"sourceHtmlUrl":210},"Workflows\u002FAnalyzeAiTrends.md",3151,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FAnalyzeAiTrends.md",{"path":212,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":213,"sourceHtmlUrl":214},"Workflows\u002FClaudeResearch.md",3659,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FClaudeResearch.md",{"path":216,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":217,"sourceHtmlUrl":218},"Workflows\u002FDeepInvestigation.md",11601,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FDeepInvestigation.md",{"path":220,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":221,"sourceHtmlUrl":222},"Workflows\u002FEnhance.md",2443,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FEnhance.md",{"path":224,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":225,"sourceHtmlUrl":226},"Workflows\u002FExtensiveResearch.md",4757,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FExtensiveResearch.md",{"path":228,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":229,"sourceHtmlUrl":230},"Workflows\u002FExtractAlpha.md",18360,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FExtractAlpha.md",{"path":232,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":233,"sourceHtmlUrl":234},"Workflows\u002FExtractKnowledge.md",4929,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FExtractKnowledge.md",{"path":236,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":237,"sourceHtmlUrl":238},"Workflows\u002FFabric.md",13738,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FFabric.md",{"path":240,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":241,"sourceHtmlUrl":242},"Workflows\u002FInterviewResearch.md",4483,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FInterviewResearch.md",{"path":244,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":245,"sourceHtmlUrl":246},"Workflows\u002FQuickResearch.md",1211,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FQuickResearch.md",{"path":248,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":249,"sourceHtmlUrl":250},"Workflows\u002FRetrieve.md",14661,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FRetrieve.md",{"path":252,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":253,"sourceHtmlUrl":254},"Workflows\u002FStandardResearch.md",2560,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FStandardResearch.md",{"path":256,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":257,"sourceHtmlUrl":258},"Workflows\u002FWebScraping.md",2103,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FWebScraping.md",{"path":260,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":261,"sourceHtmlUrl":262},"Workflows\u002FYoutubeExtraction.md",2101,"https:\u002F\u002Fgithub.com\u002Ffadrienne\u002FMyGitHub\u002Fblob\u002Fmain\u002FPersonal_AI_Infrastructure\u002FReleases\u002Fv4.0.3\u002F.claude\u002Fskills\u002FResearch\u002FWorkflows\u002FYoutubeExtraction.md",[264,271,295,319,335,359],{"skillNo":265,"name":266,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":267,"categories":268,"keywords":270,"publishedAt":38},"01M6CWA8R4QE9C0KYAMX91YPSY","skill","https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Ftemplates\u002Fskill\u002FSKILL.md",[269],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[],{"skillNo":272,"name":273,"nameZh":6,"description":274,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":275,"categories":276,"keywords":277,"publishedAt":38},"01M6CWA4G41CBNKWSAEQJMTN66","supportive-conversation","Generate supportive responses with safety boundaries. Use when user asks to 'be supportive', 'help with emotional support', 'provide encouragement', 'respond with empathy', 'offer emotional support'.","https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Fsupportive-conversation\u002FSKILL.md",[],[278,279,280,281,282,283,35,284,285,286,287,288,289,290,37,291,292,293,294],"supportive conversation","conversation","bereavement","grief","internationalization","Safety","active","crisis","Empathy","use","active-listening","user","emotional-support","help","generate","support","crisis-support",{"skillNo":296,"name":297,"nameZh":6,"description":298,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":299,"categories":300,"keywords":309,"publishedAt":38},"01M6CWA07JVG2QP2GGP7Q3EGR6","neurodiversity-aware-design","Design for diverse cognitive processing. Use when user asks to 'make ADHD-friendly', 'autism-friendly design', 'sensory-friendly', 'reduce cognitive overload', 'dyslexia-friendly', 'neurodiversity design'.","https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Fneurodiversity-aware-design\u002FSKILL.md",[301,304],{"categoryNo":302,"categoryName":303,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":305,"categoryName":306,"taxonomyType":307,"taxonomyTypeDesc":308},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[310,311,312,37,35,287,289,313,5,314,315,316,317,318],"design","neurodiversity aware design","cognitive-accessibility","adhd","neurodiversity","inclusive-design","sensory","dyslexia","autism",{"skillNo":320,"name":321,"nameZh":6,"description":322,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":323,"categories":324,"keywords":325,"publishedAt":38},"01M6CW9WAJV6937CR8GRHWKHE3","empathetic-communication","Improve emotional resonance in communication. Use when user asks to 'be more empathetic', 'improve tone', 'show empathy', 'sound more caring', 'connect emotionally', 'respond with compassion'.","https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Fempathetic-communication\u002FSKILL.md",[],[326,327,328,329,288,330,331,37,35,332,286,287,289,333,334,284],"empathetic communication","communication","show","compassion","emotional-intelligence","tone","intelligence","improve","connect",{"skillNo":336,"name":337,"nameZh":6,"description":338,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":339,"categories":340,"keywords":344,"publishedAt":38},"01M6CW9QSPCCVBBY0EYTQV4CZC","depression-sensitive-content","Audit and rewrite content to reduce stigma, improve emotional safety, and lower cognitive load for people affected by depression. Use when user asks to 'make content more sensitive', 'remove stigmatizing language', 'improve emotional safety', 'rewrite for depression awareness', 'audit content for mental health sensitivity'.","https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Fdepression-sensitive-content\u002FSKILL.md",[341],{"categoryNo":342,"categoryName":343,"taxonomyType":307,"taxonomyTypeDesc":308},"01JBSEEDCAT000000000000036","内容创作者",[345,346,333,283,347,28,348,349,350,351,352,353,354,355,356,357,37,358,35,287],"depression sensitive content","content","awareness","guidelines","remove","sensitive-content","cognitive-load","depression","stigma-reduction","content-audit","emotional-safety","sensitivity","mental health","mental-health",{"skillNo":360,"name":361,"nameZh":6,"description":362,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":363,"categories":364,"keywords":366,"publishedAt":38},"01M6CW9K98H9BY8RJQXMH3ND03","cultural-sensitivity","Design for cultural inclusivity. Use when user asks to 'make culturally sensitive', 'adapt for culture', 'reduce cultural bias', 'cultural awareness', 'inclusive design'.","https:\u002F\u002Fgithub.com\u002Fhumanity4ai\u002Fproject_human\u002Fblob\u002Fmain\u002Fskills\u002Fcultural-sensitivity\u002FSKILL.md",[365],{"categoryNo":302,"categoryName":303,"taxonomyType":21,"taxonomyTypeDesc":22},[367,368,369,370,371,356,372,37,373,35,374,287,375,289,347,310],"cultural sensitivity","cultural","bias","diversity","inclusion","inclusivity","adapt","culture","global"]