[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7918ZWHGY6F5VBZF89CF87D":3,"skill-same:01M7918ZWHGY6F5VBZF89CF87D":70},{"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":26,"commitSha":27,"skillDirectory":28,"forksCount":29,"repositoryHtmlUrl":30,"repositoryHomepageUrl":6,"ownerHtmlUrl":31,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":32,"install":33,"resources":45},"01M7918ZWHGY6F5VBZF89CF87D","frontend-integration",null,"Routes Nexent frontend App Router work, service clients, typed API contracts, streaming chat, i18n, and frontend build checks.","VectorSpaceLab\u002FAREX-Skill","VectorSpaceLab","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F180637102?v=4","01M7538C5WPSJGWF7KHR4EFZ9F","01M7538C6R2GFP53NPXTCZNBRT",351,"MIT","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fnexent\u002Fsub-skills\u002Ffrontend-integration\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: frontend-integration\ndescription: \"Routes Nexent frontend App Router work, service clients, typed API\n  contracts, streaming chat, i18n, and frontend build checks.\"\ndisable-model-invocation: true\nmetadata:\n  disco-role: operating\nlicense: MIT\n---\n\n# Frontend Integration\n\nUse this sub-skill for Nexent frontend tasks that touch the Next.js App Router, service clients, typed response contracts, streaming chat, localization, or frontend build checks.\n\n## Route here when the task is about\n- `frontend\u002Fapp\u002F[locale]\u002F` pages and layouts\n- `frontend\u002Fcomponents\u002F`, `frontend\u002Ffeatures\u002F`, `frontend\u002Fhooks\u002F`, `frontend\u002Fstores\u002F`, `frontend\u002Fservices\u002F`, `frontend\u002Ftypes\u002F`, and `frontend\u002Fconst\u002F`\n- chat streaming, assistant-ui, dictation, attachments, resume\u002Freplay, or share rendering\n- locale routing, translation JSON, or base-path\u002Fproxy behavior\n- `npm run check-all`, `npm run type-check`, `npm run lint`, or `npm run build`\n\n## Read first\n- [Frontend architecture](references\u002Ffrontend-architecture.md)\n- [API contracts](references\u002Fapi-contracts.md)\n- [Streaming and chat](references\u002Fstreaming-and-chat.md)\n- [Troubleshooting](references\u002Ftroubleshooting.md)\n\n## Bundled helper\n- `scripts\u002Fextract_frontend_api_calls.py --repo-root \u003Crepo-root>`\n  - Add `--json` for machine-readable output.\n  - Use it to inventory `API_ENDPOINTS` call sites before changing client contracts.\n\n## Keep these layers in sync\nWhen backend payloads or route behavior change, update the frontend in this order:\n1. `frontend\u002Fservices\u002Fapi.ts`\n2. the affected `frontend\u002Fservices\u002F*.ts` client mapper\n3. the matching `frontend\u002Ftypes\u002F*.ts`\n4. the consuming page, hook, store, or component\n5. any chat-stream mapping in `frontend\u002Fapp\u002F[locale]\u002Fchat\u002Fstreaming\u002F` or `frontend\u002Fapp\u002F[locale]\u002Fnewchat\u002Fadapter\u002F`\n\n## Route elsewhere\n- Backend app\u002Fservice\u002Fdatabase internals -> `..\u002Fbackend-services-api\u002FSKILL.md`\n- SDK runtime, model, tool, or observer semantics -> `..\u002Fsdk-agent-runtime\u002FSKILL.md`\n- Deployment scripts, env templates, SQL\u002Finit sync, or rollout behavior -> `..\u002Fdeployment-operations\u002FSKILL.md`\n\n## Main frontend surfaces\n- Chat and streaming: `app\u002F[locale]\u002Fchat\u002F`, `app\u002F[locale]\u002Fnewchat\u002F`\n- Agent\u002Fmodel\u002Fknowledge\u002Fmemory setup: `app\u002F[locale]\u002Fagents\u002F`, `models\u002F`, `knowledges\u002F`, `memory\u002F`\n- Repository and marketplace: `agent-space\u002F`, `skill-space\u002F`, `mcp-space\u002F`, `market\u002F`\n- Shared runtime: `components\u002Fproviders\u002F`, `hooks\u002F`, `services\u002F`, `stores\u002F`, `types\u002F`, `lib\u002F`, `public\u002Flocales\u002F`\n","# Frontend Integration\n\nUse this sub-skill for Nexent frontend tasks that touch the Next.js App Router, service clients, typed response contracts, streaming chat, localization, or frontend build checks.\n\n## Route here when the task is about\n- `frontend\u002Fapp\u002F[locale]\u002F` pages and layouts\n- `frontend\u002Fcomponents\u002F`, `frontend\u002Ffeatures\u002F`, `frontend\u002Fhooks\u002F`, `frontend\u002Fstores\u002F`, `frontend\u002Fservices\u002F`, `frontend\u002Ftypes\u002F`, and `frontend\u002Fconst\u002F`\n- chat streaming, assistant-ui, dictation, attachments, resume\u002Freplay, or share rendering\n- locale routing, translation JSON, or base-path\u002Fproxy behavior\n- `npm run check-all`, `npm run type-check`, `npm run lint`, or `npm run build`\n\n## Read first\n- [Frontend architecture](references\u002Ffrontend-architecture.md)\n- [API contracts](references\u002Fapi-contracts.md)\n- [Streaming and chat](references\u002Fstreaming-and-chat.md)\n- [Troubleshooting](references\u002Ftroubleshooting.md)\n\n## Bundled helper\n- `scripts\u002Fextract_frontend_api_calls.py --repo-root \u003Crepo-root>`\n  - Add `--json` for machine-readable output.\n  - Use it to inventory `API_ENDPOINTS` call sites before changing client contracts.\n\n## Keep these layers in sync\nWhen backend payloads or route behavior change, update the frontend in this order:\n1. `frontend\u002Fservices\u002Fapi.ts`\n2. the affected `frontend\u002Fservices\u002F*.ts` client mapper\n3. the matching `frontend\u002Ftypes\u002F*.ts`\n4. the consuming page, hook, store, or component\n5. any chat-stream mapping in `frontend\u002Fapp\u002F[locale]\u002Fchat\u002Fstreaming\u002F` or `frontend\u002Fapp\u002F[locale]\u002Fnewchat\u002Fadapter\u002F`\n\n## Route elsewhere\n- Backend app\u002Fservice\u002Fdatabase internals -> `..\u002Fbackend-services-api\u002FSKILL.md`\n- SDK runtime, model, tool, or observer semantics -> `..\u002Fsdk-agent-runtime\u002FSKILL.md`\n- Deployment scripts, env templates, SQL\u002Finit sync, or rollout behavior -> `..\u002Fdeployment-operations\u002FSKILL.md`\n\n## Main frontend surfaces\n- Chat and streaming: `app\u002F[locale]\u002Fchat\u002F`, `app\u002F[locale]\u002Fnewchat\u002F`\n- Agent\u002Fmodel\u002Fknowledge\u002Fmemory setup: `app\u002F[locale]\u002Fagents\u002F`, `models\u002F`, `knowledges\u002F`, `memory\u002F`\n- Repository and marketplace: `agent-space\u002F`, `skill-space\u002F`, `mcp-space\u002F`, `market\u002F`\n- Shared runtime: `components\u002Fproviders\u002F`, `hooks\u002F`, `services\u002F`, `stores\u002F`, `types\u002F`, `lib\u002F`, `public\u002Flocales\u002F`\n",{"name":5,"license":14,"metadata":23,"description":7,"disable-model-invocation":25},{"disco-role":24},"operating",true,"main","ac3fe1afa80fb9a09775ecfb2b6cc3ba850a2db6","skills\u002Frepositories\u002Frepo-skills\u002Fnexent\u002Fsub-skills\u002Ffrontend-integration",27,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab","2026-09-03 10:25:21",{"source":8,"skillName":5,"commands":34,"prompt":44,"zipAvailable":25},[35,38,41],{"tool":36,"command":37},"npx","npx skills add VectorSpaceLab\u002FAREX-Skill --skill frontend-integration",{"tool":39,"command":40},"bunx","bunx skills add VectorSpaceLab\u002FAREX-Skill --skill frontend-integration",{"tool":42,"command":43},"pnpm","pnpm dlx skills add VectorSpaceLab\u002FAREX-Skill --skill frontend-integration","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fnexent\u002Fsub-skills\u002Ffrontend-integration\u002FSKILL.md",[46,52,56,60,64],{"path":47,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":50,"sourceHtmlUrl":51},"references\u002Fapi-contracts.md","REFERENCE","参考文档",6114,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fnexent\u002Fsub-skills\u002Ffrontend-integration\u002Freferences\u002Fapi-contracts.md",{"path":53,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":54,"sourceHtmlUrl":55},"references\u002Ffrontend-architecture.md",5991,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fnexent\u002Fsub-skills\u002Ffrontend-integration\u002Freferences\u002Ffrontend-architecture.md",{"path":57,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":58,"sourceHtmlUrl":59},"references\u002Fstreaming-and-chat.md",9136,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fnexent\u002Fsub-skills\u002Ffrontend-integration\u002Freferences\u002Fstreaming-and-chat.md",{"path":61,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":62,"sourceHtmlUrl":63},"references\u002Ftroubleshooting.md",5145,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fnexent\u002Fsub-skills\u002Ffrontend-integration\u002Freferences\u002Ftroubleshooting.md",{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"scripts\u002Fextract_frontend_api_calls.py","SCRIPT","脚本",6380,"https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Frepositories\u002Frepo-skills\u002Fnexent\u002Fsub-skills\u002Ffrontend-integration\u002Fscripts\u002Fextract_frontend_api_calls.py",[71,79,86,93,100,107],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":75,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":78,"publishedAt":18},"01M799NYSH1R3RVAHSM2D88Y84","passnet-triton-opt","Make a single PassNet Triton kernel fast AND numerically faithful: performance model (when a replacement can win at all), block\u002Fgrid\u002Fwarp tuning, autotune policy, launch overhead, and per-op numeric recipes to pass the dtype baseline tolerances. Use when a pass matches and is correct but speedup below expected, or when correctness fails by small numeric margins.","Apache-2.0","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Ftask-oriented\u002FPassNet\u002Fskills\u002Fpassnet-triton-opt\u002FSKILL.md",[],[],{"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":75,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":85,"publishedAt":18},"01M799NS5APEC0N1FZ7XZVW6BN","passnet-solve","END-TO-END playbook for solving one PassNet sample: analyze the computation graphs, decide the optimization strategy (what to fuse, what to replace, what to leave alone), drive the iteration loop, and maximize the sample score. This is the ENTRY skill — invoke it first for any PassNet optimization task; it tells you when to use passnet-pattern-fusion, passnet-triton-opt and passnet-feedback.","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Ftask-oriented\u002FPassNet\u002Fskills\u002Fpassnet-solve\u002FSKILL.md",[],[],{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":75,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":18},"01M799NNY9BKSM21V5R7QVTBJX","passnet-skill","PassNet GPU kernel optimization via compiler passes. Design and implement Triton-based optimization passes, create pass files under .\u002Fpass_dir\u002F, self-evaluate with pass_evaluator, and iterate to maximize GPU speedup.","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Ftask-oriented\u002FPassNet\u002Fskills\u002Fpassnet-skill\u002FSKILL.md",[],[],{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":75,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":18},"01M799NHH6NP7Z1RK77KGXAN6S","passnet-pattern-fusion","Author PassNet pass files: write patterns that actually MATCH the FX graph, pick fusion regions (which ops to absorb into one Triton kernel), and structure multi-pass submissions with the mandatory shared-dispatch architecture. Use when creating or fixing pattern()\u002Freplacement_args()\u002Freplacement_func() files, when a pass \"failed to match\", or when deciding how to fuse multiple kernels\u002Fops.","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Ftask-oriented\u002FPassNet\u002Fskills\u002Fpassnet-pattern-fusion\u002FSKILL.md",[],[],{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":75,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":106,"publishedAt":18},"01M799ND2J4WNC2PGAZ0A06NDF","passnet-orchestrate","Round\u002Fbatch planning and decision support for PassNet graph optimization. Use for multi-sample triage, worker allocation, eval-budget policy, and post-eval keep\u002Frevert decisions. For solving one concrete sample end to end, use passnet-solve as the entry skill; consult this skill only when you need broader planning or a specific decision gate.","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Ftask-oriented\u002FPassNet\u002Fskills\u002Fpassnet-orchestrate\u002FSKILL.md",[],[],{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":75,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":113,"publishedAt":18},"01M799N8SBTMY02ZDG2AZF5ZWE","passnet-feedback","Fast, deterministic feedback for PassNet work: pre-flight pattern\u002Fmatch verification WITHOUT burning a GPU evaluation, per-node bottleneck analysis of a sample's graphs, and eval-log parsing into per-variant status + estimated score + failure classification. Use BEFORE every GPU evaluation (check_pattern), at the START of a sample (analyze_graph), and AFTER every evaluation (parse_eval_log).","https:\u002F\u002Fgithub.com\u002FVectorSpaceLab\u002FAREX-Skill\u002Fblob\u002Fmain\u002Fskills\u002Ftask-oriented\u002FPassNet\u002Fskills\u002Fpassnet-feedback\u002FSKILL.md",[],[]]