[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6GVYX8AFA2ASV20RNGAXSAS":3,"skill-same:01M6GVYX8AFA2ASV20RNGAXSAS":97},{"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":16,"sourceHtmlUrl":17,"categories":18,"keywords":29,"publishedAt":52,"linkOnly":53,"markdownContent":54,"markdownBody":55,"frontMatter":56,"refName":60,"commitSha":61,"skillDirectory":62,"forksCount":63,"repositoryHtmlUrl":64,"repositoryHomepageUrl":6,"ownerHtmlUrl":65,"ownerBlogUrl":66,"ownerDescription":67,"updatedAt":68,"install":69,"resources":82},"01M6GVYX8AFA2ASV20RNGAXSAS","salesportl-painting-brand-bootstrap-memory-loop",null,"Create reusable brand context, SOP memory, and operating guidance for painting services accounts starting from zero.","jiayaoqijia\u002Fcryptoskill","jiayaoqijia","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1453879?v=4","01M6GMYTX7Q7S504VC6E756ENR","YQ","01M6GMYV1QKJ1CC75MTTGT9PR0",81,"MIT","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fmcp-servers\u002Fdanthamanvoiss-salesportl-painting-brand-bootstrap-memory-loop\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fmcp-servers\u002Fdanthamanvoiss-salesportl-painting-brand-bootstrap-memory-loop\u002FSKILL.md",[19,24],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":25,"categoryName":26,"taxonomyType":27,"taxonomyTypeDesc":28},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"bootstrap","memory","salesportl painting brand bootstrap memory loop","painting","loop","brand","salesportl","for","qa-recursive","context-loop","niche-suite","niche","operating","reusable","guidance","sop","node","tool","ZeRO","services","qa","create","2026-11-10 10:12:30",false,"---\nname: salesportl-painting-brand-bootstrap-memory-loop\ndescription: Create reusable brand context, SOP memory, and operating guidance for painting services accounts starting from zero.\nversion: 2.0.0\ntags: [salesportl, painting, niche-suite, context-loop, qa-recursive, tool-node-aware]\n---\n\n## Purpose\nCreate reusable brand context, SOP memory, and operating guidance for painting services accounts starting from zero.\n\n## Use when\n- You are operating inside `SalesPortl-Painting-Skills-Suite`.\n- You need painting services execution quality for painting contractors and finishing service businesses.\n- You want repeatable, improving workflows that learn from each run via context + memory updates.\n\n## Industry fit: micro-niche variants\n- residential repaint teams\n- commercial painters\n- cabinet\u002Fspecialty finish crews\n\n## Standard operating patterns (SOP)\n- estimate and prep workflows\n- jobsite quality and completion sign-off\n- review\u002Freferral capture after completion\n\n## SalesPortl platform tooling focus (if available in workspace)\n- campaign setup for project portfolios\n- click tracking for estimate requests\n- pipeline\u002Fcalendar automation for quote→job completion\n\n## Required inputs\n- Business objective and requested deliverable\n- Current context quality (none\u002Fpartial\u002Fverified)\n- Business model, offer mix, and target customer profile\n- Authority boundary for external actions (draft-only unless approved)\n- Available SalesPortl platform features in this workspace\n\n## Workflow\n1. Capture founding context: offer, pricing logic, target segments, differentiators, and service boundaries.\n2. Define initial brand posture: message pillars, approved\u002Fprohibited claims, tone, and proof standards.\n3. Draft initial SOP map aligned to this industry and micro-niche variants.\n4. Create a reusable memory update block: what worked, failed, assumptions changed, and next-run adjustments.\n5. Trigger a refinement loop every run so context quality improves over time instead of drifting.\n\n## Platform execution checklist\n- Campaign orchestration nodes\n- Click-tracking and attribution configuration\n- Workflow\u002Fautomation nodes\n- Custom agent launch and role-specialized sub-agents\n- CRM pipeline and lead stage automation\n- Calendar, booking, and follow-up automations\n- Website\u002Fpage\u002Fapp builder flows (where available)\n\n## Output format\n```text\n- Brand core summary: ...\n- Initial SOP matrix: ...\n- Approved vs prohibited claim set: ...\n- Memory update template for future runs: ...\n- Priority gaps to resolve next: ...\n```\n\n## Confidence scoring rubric (0-5 each)\n- Logic integrity\n- Consistency with context and previous decisions\n- Thoroughness of analysis\n- Completeness for implementation\n- Platform\u002Ftooling readiness\n- Niche-specific relevance\n- **Target**: average >= 4.2 before final handoff\n\n## Quality checks\n- Output explicitly reflects this industry plus at least one micro-niche variant.\n- Recommendations map to practical SalesPortl feature usage when requested.\n- Ambiguities are handled by questions, not assumptions.\n- Logic is coherent end-to-end across routing, execution, and QA.\n- Completeness is verified before finalization; partial output is labeled as partial.\n","## Purpose\nCreate reusable brand context, SOP memory, and operating guidance for painting services accounts starting from zero.\n\n## Use when\n- You are operating inside `SalesPortl-Painting-Skills-Suite`.\n- You need painting services execution quality for painting contractors and finishing service businesses.\n- You want repeatable, improving workflows that learn from each run via context + memory updates.\n\n## Industry fit: micro-niche variants\n- residential repaint teams\n- commercial painters\n- cabinet\u002Fspecialty finish crews\n\n## Standard operating patterns (SOP)\n- estimate and prep workflows\n- jobsite quality and completion sign-off\n- review\u002Freferral capture after completion\n\n## SalesPortl platform tooling focus (if available in workspace)\n- campaign setup for project portfolios\n- click tracking for estimate requests\n- pipeline\u002Fcalendar automation for quote→job completion\n\n## Required inputs\n- Business objective and requested deliverable\n- Current context quality (none\u002Fpartial\u002Fverified)\n- Business model, offer mix, and target customer profile\n- Authority boundary for external actions (draft-only unless approved)\n- Available SalesPortl platform features in this workspace\n\n## Workflow\n1. Capture founding context: offer, pricing logic, target segments, differentiators, and service boundaries.\n2. Define initial brand posture: message pillars, approved\u002Fprohibited claims, tone, and proof standards.\n3. Draft initial SOP map aligned to this industry and micro-niche variants.\n4. Create a reusable memory update block: what worked, failed, assumptions changed, and next-run adjustments.\n5. Trigger a refinement loop every run so context quality improves over time instead of drifting.\n\n## Platform execution checklist\n- Campaign orchestration nodes\n- Click-tracking and attribution configuration\n- Workflow\u002Fautomation nodes\n- Custom agent launch and role-specialized sub-agents\n- CRM pipeline and lead stage automation\n- Calendar, booking, and follow-up automations\n- Website\u002Fpage\u002Fapp builder flows (where available)\n\n## Output format\n```text\n- Brand core summary: ...\n- Initial SOP matrix: ...\n- Approved vs prohibited claim set: ...\n- Memory update template for future runs: ...\n- Priority gaps to resolve next: ...\n```\n\n## Confidence scoring rubric (0-5 each)\n- Logic integrity\n- Consistency with context and previous decisions\n- Thoroughness of analysis\n- Completeness for implementation\n- Platform\u002Ftooling readiness\n- Niche-specific relevance\n- **Target**: average >= 4.2 before final handoff\n\n## Quality checks\n- Output explicitly reflects this industry plus at least one micro-niche variant.\n- Recommendations map to practical SalesPortl feature usage when requested.\n- Ambiguities are handled by questions, not assumptions.\n- Logic is coherent end-to-end across routing, execution, and QA.\n- Completeness is verified before finalization; partial output is labeled as partial.\n",{"name":5,"tags":57,"version":59,"description":7},[36,33,40,39,38,58],"tool-node-aware","2.0.0","main","3df1d0d67b30ff15236561f8c0f9f06d33f42dfd","skills\u002Fmcp-servers\u002Fdanthamanvoiss-salesportl-painting-brand-bootstrap-memory-loop",17,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia","https:\u002F\u002Feth2030.com","Hardcore infra. Building @alt-research and applied cryptography.","2026-11-13 02:31:19",{"source":8,"skillName":5,"commands":70,"prompt":80,"zipAvailable":81},[71,74,77],{"tool":72,"command":73},"npx","npx skills add jiayaoqijia\u002Fcryptoskill --skill salesportl-painting-brand-bootstrap-memory-loop",{"tool":75,"command":76},"bunx","bunx skills add jiayaoqijia\u002Fcryptoskill --skill salesportl-painting-brand-bootstrap-memory-loop",{"tool":78,"command":79},"pnpm","pnpm dlx skills add jiayaoqijia\u002Fcryptoskill --skill salesportl-painting-brand-bootstrap-memory-loop","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fmcp-servers\u002Fdanthamanvoiss-salesportl-painting-brand-bootstrap-memory-loop\u002FSKILL.md",true,[83,87,93],{"path":84,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":86,"sourceHtmlUrl":16},"LICENSE","许可证",1071,{"path":88,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":91,"sourceHtmlUrl":92},"SOURCE.md","REFERENCE","参考文档",495,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fmcp-servers\u002Fdanthamanvoiss-salesportl-painting-brand-bootstrap-memory-loop\u002FSOURCE.md",{"path":94,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":95,"sourceHtmlUrl":96},"TRUST.auto.yaml",2217,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fmcp-servers\u002Fdanthamanvoiss-salesportl-painting-brand-bootstrap-memory-loop\u002FTRUST.auto.yaml",[98,126,148,166,179,189],{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":102,"sourceHtmlUrl":103,"categories":104,"keywords":105,"publishedAt":52},"01M712C436EQYE43342Q4E7GG1","recipe-performance","Diagnose a specific MetaMask user flow's real-app performance and Sentry critical-user-flow telemetry with deterministic mm-harness recipes. Use for CUF boundaries, cold\u002Fwarm\u002Fbackground-resume behavior, latency regressions, lifecycle tags, duplicate or blocking network requests, long tasks, layout\u002Fpaint cost, screen redraws, React rerenders, or browser trace analysis where tests alone cannot prove the real app.","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fwallets\u002Fmetamask-official-recipe-performance\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fwallets\u002Fmetamask-official-recipe-performance\u002FSKILL.md",[],[106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125],"performance","recipe 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actions, and secure signing without exposing API keys.","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fexchanges\u002Fmncrftfrcnm-mexc-spot-rest\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fexchanges\u002Fmncrftfrcnm-mexc-spot-rest\u002FSKILL.md",[],[156,136,157,158,159,160,161,145,37,144,162,163,164,140,165,139,138],"mexc spot rest","REST","admin","signing","Wallet","requests","actions","secure","data","orders",{"skillNo":167,"name":168,"nameZh":6,"description":169,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":130,"licenseFileUrl":170,"sourceHtmlUrl":171,"categories":172,"keywords":173,"publishedAt":52},"01M70XSYSVZ2N0N91XCAR2CAK0","mexc-futures-websocket","MEXC Futures WebSocket workflows for public streams, private account\u002Forder\u002Fposition streams, ping\u002Fpong, subscriptions, and depth maintenance.","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fexchanges\u002Fmncrftfrcnm-mexc-futures-websocket\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fexchanges\u002Fmncrftfrcnm-mexc-futures-websocket\u002FSKILL.md",[],[174,175,137,176,177,146,37,178,143,142,140,139],"mexc futures 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lists","version",{"skillNo":190,"name":191,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":193,"sourceHtmlUrl":194,"categories":195,"keywords":196,"publishedAt":52},"01M6H0Z28Q3R8J0S799GJQWXM3","verify-tests-cover-changed-lines","Use when a PR adds code that the existing suite may not exercise. Measures patch coverage — the share of newly changed lines hit by tests — before approving.","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fpayments\u002F0xklen-verify-tests-cover-changed-lines\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fpayments\u002F0xklen-verify-tests-cover-changed-lines\u002FSKILL.md",[],[197,198,199,200,201,202,203,204,205,206,207],"tests","cover","verify tests cover changed lines","verify","coverage","pr","exercise","use","patch","code","share"]