[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7CTFHTF1AXR5NMWDGDPJ66J":3,"skill-same:01M7CTFHTF1AXR5NMWDGDPJ66J":68},{"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":18,"linkOnly":19,"markdownContent":20,"markdownBody":21,"frontMatter":22,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":13,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M7CTFHTF1AXR5NMWDGDPJ66J","archify",null,"Validated interactive HTML diagrams, upstream-maintained.","dwikanugraha13\u002FProject-Anara","dwikanugraha13","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F63535036?v=4","01M7CTBN0DG8GDNP4QZ68W8M0A","01M7CTBN10Q015JDBYJS6AJRGN",0,"MIT","https:\u002F\u002Fgithub.com\u002Fdwikanugraha13\u002FProject-Anara\u002Fblob\u002Fmain\u002Fbackend\u002Foptional-skills\u002Fcreative\u002Farchify\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: archify\ndescription: Validated interactive HTML diagrams, upstream-maintained.\nversion: 2.17.0\nauthor: tt-a1i\nlicense: MIT\nplatforms: [linux, macos, windows]\nmetadata:\n  anara:\n    tags: [diagram, architecture, workflow, sequence, dataflow, state-machine, mermaid, html, svg]\n    category: creative\n    related_skills: [architecture-diagram, excalidraw, concept-diagrams]\n    upstream:\n      repo: tt-a1i\u002Farchify\n      path: archify\n---\n\n# Archify (upstream-maintained)\n\n> **Catalog stub.** This entry is maintained upstream at\n> [tt-a1i\u002Farchify](https:\u002F\u002Fgithub.com\u002Ftt-a1i\u002Farchify): the project ships a\n> self-contained skill directory (`archify\u002F`) with the Node CLI, schemas,\n> renderers, examples and references. `anara skills install\n> official\u002Fcreative\u002Farchify` pulls the current tree live from that repo\n> (quarantined and scanned like any hub install) — this directory holds only\n> the catalog metadata, so the vendored copy can never go stale.\n\nArchify turns a small typed JSON spec into a self-contained, explorable HTML\ndiagram: `architecture`, `workflow`, `sequence`, `dataflow` and `lifecycle`\n(state machine) types, dark\u002Flight themes, pan\u002Fzoom, search, relationship\ntracing, optional trace motion, and PNG\u002FJPEG\u002FWebP\u002FSVG\u002FWebM export. It accepts\nplain-language requirements or pasted Mermaid (`flowchart`, `sequenceDiagram`,\n`stateDiagram`) and can read repository evidence when the diagram must reflect\nreal code. Every candidate goes through a 9-check `validate` \u002F `deliver`\nreceipt, so the output is verifiable rather than eyeballed.\n\n## Prerequisites\n\n- Node.js 18+ on `PATH` (`node bin\u002Farchify.mjs doctor` confirms the install;\n  no `npm install` is needed inside the skill package).\n- Installs pull ~200 files (~8 MB, mostly upstream tests and examples) from\n  GitHub; the fetch is pinned to one tree SHA, recorded in the bundle metadata.\n- Upstream's \"Update awareness\" step runs `scripts\u002Fcheck-update.mjs`, which\n  reads a release manifest from GitHub and only prints a notice — it never\n  downloads or installs anything. Skip it if outbound calls are unwanted.\n\nAfter install, the bundled `architecture-diagram` skill remains the\nzero-dependency fallback (it ports the same Cocoon AI lineage archify grew out\nof); prefer archify when the user wants validated receipts, Mermaid conversion,\nsequence\u002Flifecycle types, or export beyond a single HTML file.\n\nFull documentation: https:\u002F\u002Fgithub.com\u002Ftt-a1i\u002Farchify#readme\n","# Archify (upstream-maintained)\n\n> **Catalog stub.** This entry is maintained upstream at\n> [tt-a1i\u002Farchify](https:\u002F\u002Fgithub.com\u002Ftt-a1i\u002Farchify): the project ships a\n> self-contained skill directory (`archify\u002F`) with the Node CLI, schemas,\n> renderers, examples and references. `anara skills install\n> official\u002Fcreative\u002Farchify` pulls the current tree live from that repo\n> (quarantined and scanned like any hub install) — this directory holds only\n> the catalog metadata, so the vendored copy can never go stale.\n\nArchify turns a small typed JSON spec into a self-contained, explorable HTML\ndiagram: `architecture`, `workflow`, `sequence`, `dataflow` and `lifecycle`\n(state machine) types, dark\u002Flight themes, pan\u002Fzoom, search, relationship\ntracing, optional trace motion, and PNG\u002FJPEG\u002FWebP\u002FSVG\u002FWebM export. It accepts\nplain-language requirements or pasted Mermaid (`flowchart`, `sequenceDiagram`,\n`stateDiagram`) and can read repository evidence when the diagram must reflect\nreal code. Every candidate goes through a 9-check `validate` \u002F `deliver`\nreceipt, so the output is verifiable rather than eyeballed.\n\n## Prerequisites\n\n- Node.js 18+ on `PATH` (`node bin\u002Farchify.mjs doctor` confirms the install;\n  no `npm install` is needed inside the skill package).\n- Installs pull ~200 files (~8 MB, mostly upstream tests and examples) from\n  GitHub; the fetch is pinned to one tree SHA, recorded in the bundle metadata.\n- Upstream's \"Update awareness\" step runs `scripts\u002Fcheck-update.mjs`, which\n  reads a release manifest from GitHub and only prints a notice — it never\n  downloads or installs anything. Skip it if outbound calls are unwanted.\n\nAfter install, the bundled `architecture-diagram` skill remains the\nzero-dependency fallback (it ports the same Cocoon AI lineage archify grew out\nof); prefer archify when the user wants validated receipts, Mermaid conversion,\nsequence\u002Flifecycle types, or export beyond a single HTML file.\n\nFull documentation: https:\u002F\u002Fgithub.com\u002Ftt-a1i\u002Farchify#readme\n",{"name":5,"author":23,"license":14,"version":24,"metadata":25,"platforms":44,"description":7},"tt-a1i","2.17.0",{"anara":26},{"tags":27,"category":37,"upstream":38,"related_skills":40},[28,29,30,31,32,33,34,35,36],"diagram","architecture","workflow","sequence","dataflow","state-machine","mermaid","html","svg","creative",{"path":5,"repo":39},"tt-a1i\u002Farchify",[41,42,43],"architecture-diagram","excalidraw","concept-diagrams",[45,46,47],"linux","macos","windows","main","3e6d6b7ffb6ab43ddf3991509e5cfb5f8c90cd1a","backend\u002Foptional-skills\u002Fcreative\u002Farchify","https:\u002F\u002Fgithub.com\u002Fdwikanugraha13\u002FProject-Anara","https:\u002F\u002Fgithub.com\u002Fdwikanugraha13","2026-10-13 07:57:21",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add dwikanugraha13\u002FProject-Anara --skill archify",{"tool":60,"command":61},"bunx","bunx skills add dwikanugraha13\u002FProject-Anara --skill archify",{"tool":63,"command":64},"pnpm","pnpm dlx skills add dwikanugraha13\u002FProject-Anara --skill archify","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fdwikanugraha13\u002FProject-Anara\u002Fblob\u002Fmain\u002Fbackend\u002Foptional-skills\u002Fcreative\u002Farchify\u002FSKILL.md",true,[],[69,76,83,91,98,105],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":73,"categories":74,"keywords":75,"publishedAt":18},"01M7CVK8W5MPQ8H45A6XE6RPK1","youtube-content","YouTube transcripts to summaries, threads, blogs.","https:\u002F\u002Fgithub.com\u002Fdwikanugraha13\u002FProject-Anara\u002Fblob\u002Fmain\u002Fbackend\u002Fskills\u002Fyoutube-content\u002FSKILL.md",[],[],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":82,"publishedAt":18},"01M7CVK56KG9399ZZVE9KM54WS","xurl","X\u002FTwitter via xurl CLI: raw post search, posting, DM, media.","https:\u002F\u002Fgithub.com\u002Fdwikanugraha13\u002FProject-Anara\u002Fblob\u002Fmain\u002Fbackend\u002Fskills\u002Fxurl\u002FSKILL.md",[],[],{"skillNo":84,"name":85,"nameZh":6,"description":86,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":87,"sourceHtmlUrl":88,"categories":89,"keywords":90,"publishedAt":18},"01M7CVK22A44A88NPPBAC1FVQP","xlsx","Create, read, edit Excel .xlsx workbooks and CSVs.","https:\u002F\u002Fgithub.com\u002Fdwikanugraha13\u002FProject-Anara\u002Fblob\u002Fmain\u002Fbackend\u002Fskills\u002Fxlsx\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fdwikanugraha13\u002FProject-Anara\u002Fblob\u002Fmain\u002Fbackend\u002Fskills\u002Fxlsx\u002FSKILL.md",[],[],{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":18},"01M7CVJX88C8PY2T6RQZ5GCG15","weights-and-biases","W&B: log ML experiments, sweeps, model registry, dashboards.","https:\u002F\u002Fgithub.com\u002Fdwikanugraha13\u002FProject-Anara\u002Fblob\u002Fmain\u002Fbackend\u002Fskills\u002Fweights-and-biases\u002FSKILL.md",[],[],{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":104,"publishedAt":18},"01M7CVJR3W1FBRGC56DG6BJ1Y3","weekly-review-planning","Weekly reset: commitments, stalled work, next-week plan.","https:\u002F\u002Fgithub.com\u002Fdwikanugraha13\u002FProject-Anara\u002Fblob\u002Fmain\u002Fbackend\u002Fskills\u002Fweekly-review-planning\u002FSKILL.md",[],[],{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":111,"publishedAt":18},"01M7CVJGPJNPQDM8S1KTTMJN7M","touchdesigner-mcp","Control TouchDesigner via twozero MCP.","https:\u002F\u002Fgithub.com\u002Fdwikanugraha13\u002FProject-Anara\u002Fblob\u002Fmain\u002Fbackend\u002Fskills\u002Ftouchdesigner-mcp\u002FSKILL.md",[],[]]