[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6JC73V4B66SSKWGNKC38S9W":3,"skill-same:01M6JC73V4B66SSKWGNKC38S9W":86},{"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":25,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":54,"commitSha":55,"skillDirectory":56,"forksCount":57,"repositoryHtmlUrl":58,"repositoryHomepageUrl":59,"ownerHtmlUrl":60,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":61,"install":62,"resources":75},"01M6JC73V4B66SSKWGNKC38S9W","higgsfield-soul-id",null,"Train a Soul Character — a personalized model on a person's face that\nHiggsfield uses for identity-faithful image and video generation.\nUse when: \"create my Soul\", \"train my face\", \"make my digital twin\",\n\"build me an avatar\", \"learn my appearance\", \"create a character of me\",\n\"set up identity for video\", \"I want my face in generated images\".\nChain: train Soul (one-time, returns reference_id) → use in\nhiggsfield-generate via `--soul-id \u003Cid>` with models like\n`text2image_soul_v2` or `soul_cinema_studio`.\nNOT for: one-shot face swaps (use higgsfield-generate with --image),\nnamed-character \u002F non-photo avatars (use higgsfield-generate with prompt).","S3YED\u002Fappie-kit","S3YED","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F62743867?v=4","01M6JBKBRRVP6KMS0VWZ27T3R6","01M6JBKBX0KG30284PW1DBYJT1",14,"MIT","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fcontent\u002Fhiggsfield-soul-id\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"higgsfield soul id","id","higgsfield","soul","up","studio","chain","time","me","images","image","generated","video generation","model","Bash","Video","SET","learn","generate","create","2026-11-10 10:12:30",false,"---\nversion: 0.3.0\nname: higgsfield-soul-id\ndescription: |\n  Train a Soul Character — a personalized model on a person's face that\n  Higgsfield uses for identity-faithful image and video generation.\n  Use when: \"create my Soul\", \"train my face\", \"make my digital twin\",\n  \"build me an avatar\", \"learn my appearance\", \"create a character of me\",\n  \"set up identity for video\", \"I want my face in generated images\".\n  Chain: train Soul (one-time, returns reference_id) → use in\n  higgsfield-generate via `--soul-id \u003Cid>` with models like\n  `text2image_soul_v2` or `soul_cinema_studio`.\n  NOT for: one-shot face swaps (use higgsfield-generate with --image),\n  named-character \u002F non-photo avatars (use higgsfield-generate with prompt).\nargument-hint: \"[name] [photo paths...]\"\nallowed-tools: Bash\n---\n\n# Higgsfield Soul Character\n\nTrain a face-faithful identity model. Reusable across all Soul-powered generations.\n\n## Step 0 — Bootstrap\n\nBefore any other command:\n\n1. If `higgsfield` is not on `$PATH`, install it:\n   ```bash\n   curl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Fhiggsfield-ai\u002Fcli\u002Fmain\u002Finstall.sh | sh\n   ```\n2. If `higgsfield account status` fails with `Session expired` \u002F `Not authenticated`, ask the user to run `higgsfield auth login` (interactive) and wait for confirmation.\n3. Soul training requires a paid plan (Basic+). If `higgsfield account status` shows free plan, tell the user before submitting.\n\n## UX Rules\n\n1. Be concise. No raw IDs in chat. Just say \"Soul ready\" with a name reference.\n2. Detect language and respond in it. CLI flags stay English.\n3. Ask for the smallest set of inputs: name + photos. Pick a sensible model variant.\n4. Polling is silent — training takes minutes. Don't repeat status updates.\n\n## Workflow\n\n1. **Get name.** One word, used for later reference. Ask if missing.\n2. **Get photos.** 5–20 face photos, varied angles and lighting. Local paths or already-uploaded IDs both work — `--image` accepts either.\n3. **Pick variant.**\n   - `--soul-2` — for image generation (default)\n   - `--soul-cinematic` — for cinematic \u002F video work\n   Choose based on user's stated downstream use. Default to `--soul-2`.\n4. **Submit.**\n   ```bash\n   higgsfield soul-id create --name \"\u003Cname>\" --soul-2 --image .\u002Fphoto1.png --image .\u002Fphoto2.png ...\n   higgsfield soul-id create --name \"\u003Cname>\" --soul-2 --image \u003Cupload_id> --image \u003Cupload_id> ...\n   ```\n   CLI auto-uploads paths. Captures returned reference id.\n5. **Wait.** `higgsfield soul-id wait \u003Cid>`. Silent. Default timeout 30m.\n6. **Deliver.** \"Soul `\u003Cname>` ready. Use in generate with `--soul-id \u003Cid>`.\"\n\n## Use the Soul\n\nOnce trained, pass to `higgsfield-generate`:\n\n```bash\nhiggsfield generate create text2image_soul_v2 --prompt \"...\" --soul-id \u003Cref_id> --quality 2k --wait\nhiggsfield generate create soul_cinematic --prompt \"...\" --soul-id \u003Cref_id> --quality 2k --wait\n```\n\n## Listing existing Souls\n\n```bash\nhiggsfield soul-id list                   # all references\nhiggsfield soul-id get \u003Cid>               # one by id\n```\n\n## Errors\n\n- `Minimum Basic plan required` — user is on free plan; tell them.\n- `Training failed` — check photos quality (5+ unique faces, well-lit).\n- `Session expired` → `higgsfield auth login`.\n\n## Reference docs\n\n- `references\u002Fphoto-guide.md` — what photos work best\n- `references\u002Ftroubleshooting.md` — common training failures","# Higgsfield Soul Character\n\nTrain a face-faithful identity model. Reusable across all Soul-powered generations.\n\n## Step 0 — Bootstrap\n\nBefore any other command:\n\n1. If `higgsfield` is not on `$PATH`, install it:\n   ```bash\n   curl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Fhiggsfield-ai\u002Fcli\u002Fmain\u002Finstall.sh | sh\n   ```\n2. If `higgsfield account status` fails with `Session expired` \u002F `Not authenticated`, ask the user to run `higgsfield auth login` (interactive) and wait for confirmation.\n3. Soul training requires a paid plan (Basic+). If `higgsfield account status` shows free plan, tell the user before submitting.\n\n## UX Rules\n\n1. Be concise. No raw IDs in chat. Just say \"Soul ready\" with a name reference.\n2. Detect language and respond in it. CLI flags stay English.\n3. Ask for the smallest set of inputs: name + photos. Pick a sensible model variant.\n4. Polling is silent — training takes minutes. Don't repeat status updates.\n\n## Workflow\n\n1. **Get name.** One word, used for later reference. Ask if missing.\n2. **Get photos.** 5–20 face photos, varied angles and lighting. Local paths or already-uploaded IDs both work — `--image` accepts either.\n3. **Pick variant.**\n   - `--soul-2` — for image generation (default)\n   - `--soul-cinematic` — for cinematic \u002F video work\n   Choose based on user's stated downstream use. Default to `--soul-2`.\n4. **Submit.**\n   ```bash\n   higgsfield soul-id create --name \"\u003Cname>\" --soul-2 --image .\u002Fphoto1.png --image .\u002Fphoto2.png ...\n   higgsfield soul-id create --name \"\u003Cname>\" --soul-2 --image \u003Cupload_id> --image \u003Cupload_id> ...\n   ```\n   CLI auto-uploads paths. Captures returned reference id.\n5. **Wait.** `higgsfield soul-id wait \u003Cid>`. Silent. Default timeout 30m.\n6. **Deliver.** \"Soul `\u003Cname>` ready. Use in generate with `--soul-id \u003Cid>`.\"\n\n## Use the Soul\n\nOnce trained, pass to `higgsfield-generate`:\n\n```bash\nhiggsfield generate create text2image_soul_v2 --prompt \"...\" --soul-id \u003Cref_id> --quality 2k --wait\nhiggsfield generate create soul_cinematic --prompt \"...\" --soul-id \u003Cref_id> --quality 2k --wait\n```\n\n## Listing existing Souls\n\n```bash\nhiggsfield soul-id list                   # all references\nhiggsfield soul-id get \u003Cid>               # one by id\n```\n\n## Errors\n\n- `Minimum Basic plan required` — user is on free plan; tell them.\n- `Training failed` — check photos quality (5+ unique faces, well-lit).\n- `Session expired` → `higgsfield auth login`.\n\n## Reference docs\n\n- `references\u002Fphoto-guide.md` — what photos work best\n- `references\u002Ftroubleshooting.md` — common training failures",{"name":5,"version":51,"description":52,"allowed-tools":40,"argument-hint":53},"0.3.0","Train a Soul Character — a personalized model on a person's face that\nHiggsfield uses for identity-faithful image and video generation.\nUse when: \"create my Soul\", \"train my face\", \"make my digital twin\",\n\"build me an avatar\", \"learn my appearance\", \"create a character of me\",\n\"set up identity for video\", \"I want my face in generated images\".\nChain: train Soul (one-time, returns reference_id) → use in\nhiggsfield-generate via `--soul-id \u003Cid>` with models like\n`text2image_soul_v2` or `soul_cinema_studio`.\nNOT for: one-shot face swaps (use higgsfield-generate with --image),\nnamed-character \u002F non-photo avatars (use higgsfield-generate with prompt).\n","[name] [photo paths...]","master","8ec37df6d71fb664ea19d32c079e7d3ff931a8e0","skills\u002Fcontent\u002Fhiggsfield-soul-id",3,"https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit","https:\u002F\u002Fweblyfe.ai","https:\u002F\u002Fgithub.com\u002FS3YED","2026-08-27 01:54:02",{"source":8,"skillName":5,"commands":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add S3YED\u002Fappie-kit --skill higgsfield-soul-id",{"tool":68,"command":69},"bunx","bunx skills add S3YED\u002Fappie-kit --skill higgsfield-soul-id",{"tool":71,"command":72},"pnpm","pnpm dlx skills add S3YED\u002Fappie-kit --skill higgsfield-soul-id","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fcontent\u002Fhiggsfield-soul-id\u002FSKILL.md",true,[76,82],{"path":77,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002Fphoto-guide.md","REFERENCE","参考文档",720,"https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fcontent\u002Fhiggsfield-soul-id\u002Freferences\u002Fphoto-guide.md",{"path":83,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":84,"sourceHtmlUrl":85},"references\u002Ftroubleshooting.md",538,"https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fcontent\u002Fhiggsfield-soul-id\u002Freferences\u002Ftroubleshooting.md",[87,117,151,176,207,232],{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":98,"publishedAt":46},"01M6JFD4M6N4DSGC7TXEJ5R3J2","ai-music","AI music generation and audio tools: HeartMuLa lyrics-to-music generation, songwriting craft (+ Suno prompts), and audio spectrogram\u002Ffeature visualization.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fwethlete\u002Fai-music\u002FSKILL.md",[93,96,97],{"categoryNo":94,"categoryName":95,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},[99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116],"music","ai music","humanizer","visualization","Tools","Audio","hermes","hermes agent","songwriting","suno","lyrics","prompts","heartmula","craft","generation","feature","ai music generation","music generation",{"skillNo":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":121,"categories":122,"keywords":131,"publishedAt":46},"01M6JFCZE4XNFQFMNZDHKHT5V5","agentic-webdesign-design-system-ingestion","Use v0 Design Systems 2.0, Bolt Design System Agents, or Lovable to generate production UI from a client's real design system components — not generic Tailwind. Use when building a client website where brand consistency matters.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fweb-design\u002Fagentic-webdesign-design-system-ingestion\u002FSKILL.md",[123,126],{"categoryNo":124,"categoryName":125,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":127,"categoryName":128,"taxonomyType":129,"taxonomyTypeDesc":130},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[132,133,134,135,136,137,138,139,44,140,141,142,143,144,145,146,147,148,149,150],"design","agentic","design system","system","ingestion","webdesign","agentic webdesign design system ingestion","components","design systems","website","ui","Tailwind","bolt","lovable","v0","design-system","wed","design system components","appie",{"skillNo":152,"name":153,"nameZh":6,"description":154,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":155,"categories":156,"keywords":159,"publishedAt":46},"01M6JFCVPX3913CFAS6QQJ33ZB","agentic-webdesign-agent-elements","Use 21st.dev Agent Elements — 25 shadcn\u002Fui components purpose-built for AI agent UIs. Tool cards (Bash, Edit, Search, Plan, Subagent, MCP), chat, input, streaming. Open source, shadcn-registry install, no runtime lock-in.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fweb-design\u002Fagentic-webdesign-agent-elements\u002FSKILL.md",[157,158],{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":127,"categoryName":128,"taxonomyType":129,"taxonomyTypeDesc":130},[133,160,137,161,162,163,139,164,165,166,167,168,40,169,170,171,172,173,174,175],"elements","agentic webdesign agent elements","MCP","ai agent","registry","search","streaming","open source","open","plan","subagent","edit","install","input","lock","source",{"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":14,"licenseFileUrl":6,"sourceHtmlUrl":180,"categories":181,"keywords":186,"publishedAt":46},"01M6JFCQC7H65M9QJ6TRE71BS1","vercel-deployment","Deploy static sites and frontends to Vercel — handles both CLI and REST API paths, including the CLI token sanitization workaround.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fsoftware-development\u002Fvercel-deployment\u002FSKILL.md",[182,185],{"categoryNo":183,"categoryName":184,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},[187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206],"deployment","vercel deployment","vercel","macos","cli","linux","windows","deploy","vercel deploy","REST","api","site","deploy to vercel","token","rest api","host","sites","paths","sanitization","static site",{"skillNo":208,"name":209,"nameZh":6,"description":210,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":211,"categories":212,"keywords":214,"publishedAt":46},"01M6JFCM4SMTXBM5A01BK2YQG1","software-quality-workflows","Umbrella workflow for TDD, debugging, code simplification, spikes, pre-commit review, and debugger-assisted investigation.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fsoftware-development\u002Fsoftware-quality-workflows\u002FSKILL.md",[213],{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},[215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231],"workflows","quality","software","software quality workflows","review","tdd","workflow","commit","debugging","code","debugger","pre-commit","investigation","code simplification","user","simplification","for",{"skillNo":233,"name":234,"nameZh":6,"description":235,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":236,"categories":237,"keywords":245,"publishedAt":46},"01M6JFCGD0M6CEATY01W7YN6DB","react-component-refactoring","Safely refactor large React components into smaller, maintainable pieces using proven patterns","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fsoftware-development\u002Freact-component-refactoring\u002FSKILL.md",[238,241,244],{"categoryNo":239,"categoryName":240,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":242,"categoryName":243,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},[246,247,248,249,250,251,252,253,190,254,255,139,256,193,257,224,258,259,260,261],"react","component","refactoring","component refactoring","react component","react component refactoring","frontend","writing","safe","typescript","react components","modular","refactor","simplify","patterns","test-driven-development"]