[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7CS7SV83RAMSZJ0W7YKJMAT":3,"skill-same:01M7CS7SV83RAMSZJ0W7YKJMAT":48},{"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":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":26,"commitSha":27,"skillDirectory":28,"forksCount":14,"repositoryHtmlUrl":29,"repositoryHomepageUrl":6,"ownerHtmlUrl":30,"ownerBlogUrl":31,"ownerDescription":32,"updatedAt":33,"install":34,"resources":47},"01M7CS7SV83RAMSZJ0W7YKJMAT","orch-build-mvp",null,"Orchestrate bootstrapping a working MVP from a design or spec document — ingest the doc, plan thin vertical slices, scaffold the first end-to-end slice, then TDD-implement, review, and gated commit. Use to turn an SDD\u002FPRD into a running starting point.","Henrique1601\u002FSkiilsToIAs","Henrique1601","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F92006691?v=4","01M7CRXVT0GVXVK80JT1GR687S","Henrique Bezerra Dos Santos","01M7CRXVTN5Y8TMWJ1MDSKCQ1T",0,"MIT","https:\u002F\u002Fgithub.com\u002FHenrique1601\u002FSkiilsToIAs\u002Fblob\u002Fmain\u002Fai-agents\u002Forch-build-mvp\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: orch-build-mvp\ndescription: Orchestrate bootstrapping a working MVP from a design or spec document — ingest the doc, plan thin vertical slices, scaffold the first end-to-end slice, then TDD-implement, review, and gated commit. Use to turn an SDD\u002FPRD into a running starting point.\nmetadata:\n  origin: ECC\n---\n\n# orch-build-mvp\n\nActor · action · target: **orch · build · mvp**. Thin wrapper over the shared\nengine in [`orch-pipeline`](..\u002Forch-pipeline\u002FSKILL.md).\n\n## When to Use\n\n- The user has a **design \u002F spec document** (SDD, PRD, system_design) and wants a\n  working vertical slice bootstrapped from it.\n- Takes a doc path as its argument, e.g. `civicpulse\u002Fdocs\u002FSDD-v0.6.md`.\n\n## Operation settings\n\n- **Default size floor:** large — this is the full pipeline including Scaffold.\n- **Phase mask:** 0 (read the spec) → 1 → 2 (heavy) → 3 (scaffold) → 4 → 5 → 6.\n- **First move (phase 0 → 2):** read the doc; extract scope, locked decisions,\n  and the feature list; order it into **thin vertical slices** (one end-to-end\n  path first, not all-models-then-all-views). Phase 3 stands up that first slice.\n\n## How It Works\n\n1. Run the `orch-pipeline` engine with the settings above.\n2. **Reuse the existing GAN harness** instead of hand-rolling an iterate loop:\n   - Translate the SDD into `gan-harness\u002Fspec.md` + `gan-harness\u002Feval-rubric.md`\n     (this stands in for what `gan-planner` would generate — you already have the spec).\n   - Drive the build with `\u002Fgan-build \"\u003Cone-line brief>\" --skip-planner`\n     (defaults: `--max-iterations 15`, `--pass-threshold 7.0`,\n     `--eval-mode playwright`; use `--eval-mode code-only` for non-UI slices).\n   - That command runs the `gan-generator` → `gan-evaluator` loop and writes\n     `gan-harness\u002Ffeedback\u002Ffeedback-NNN.md` until the score passes or plateaus.\n3. Stop at **Gate 1** (slice plan) and **Gate 2** (pre-commit). Commit the\n   scaffold and each slice as separate `feat:` commits.\n4. Add `security-reviewer` for any slice touching a security trigger.\n\n## Example\n\n```\norch-build-mvp: civicpulse\u002Fdocs\u002FSDD-v0.6.md\n→ read SDD → slice list (vertical) → scaffold slice 1  [GATE 1: approve]\n→ \u002Fgan-build --skip-planner (generator → evaluator loop) scores vs spec → review\n→ commit feat:  [GATE 2: confirm] → next slice\n```\n","# orch-build-mvp\n\nActor · action · target: **orch · build · mvp**. Thin wrapper over the shared\nengine in [`orch-pipeline`](..\u002Forch-pipeline\u002FSKILL.md).\n\n## When to Use\n\n- The user has a **design \u002F spec document** (SDD, PRD, system_design) and wants a\n  working vertical slice bootstrapped from it.\n- Takes a doc path as its argument, e.g. `civicpulse\u002Fdocs\u002FSDD-v0.6.md`.\n\n## Operation settings\n\n- **Default size floor:** large — this is the full pipeline including Scaffold.\n- **Phase mask:** 0 (read the spec) → 1 → 2 (heavy) → 3 (scaffold) → 4 → 5 → 6.\n- **First move (phase 0 → 2):** read the doc; extract scope, locked decisions,\n  and the feature list; order it into **thin vertical slices** (one end-to-end\n  path first, not all-models-then-all-views). Phase 3 stands up that first slice.\n\n## How It Works\n\n1. Run the `orch-pipeline` engine with the settings above.\n2. **Reuse the existing GAN harness** instead of hand-rolling an iterate loop:\n   - Translate the SDD into `gan-harness\u002Fspec.md` + `gan-harness\u002Feval-rubric.md`\n     (this stands in for what `gan-planner` would generate — you already have the spec).\n   - Drive the build with `\u002Fgan-build \"\u003Cone-line brief>\" --skip-planner`\n     (defaults: `--max-iterations 15`, `--pass-threshold 7.0`,\n     `--eval-mode playwright`; use `--eval-mode code-only` for non-UI slices).\n   - That command runs the `gan-generator` → `gan-evaluator` loop and writes\n     `gan-harness\u002Ffeedback\u002Ffeedback-NNN.md` until the score passes or plateaus.\n3. Stop at **Gate 1** (slice plan) and **Gate 2** (pre-commit). Commit the\n   scaffold and each slice as separate `feat:` commits.\n4. Add `security-reviewer` for any slice touching a security trigger.\n\n## Example\n\n```\norch-build-mvp: civicpulse\u002Fdocs\u002FSDD-v0.6.md\n→ read SDD → slice list (vertical) → scaffold slice 1  [GATE 1: approve]\n→ \u002Fgan-build --skip-planner (generator → evaluator loop) scores vs spec → review\n→ commit feat:  [GATE 2: confirm] → next slice\n```\n",{"name":5,"metadata":24,"description":7},{"origin":25},"ECC","main","a73152352c0612252131e5cf84e91312a6cf17dc","ai-agents\u002Forch-build-mvp","https:\u002F\u002Fgithub.com\u002FHenrique1601\u002FSkiilsToIAs","https:\u002F\u002Fgithub.com\u002FHenrique1601","https:\u002F\u002Fbezerraportifolio.netlify.app\u002F","Full Stack Developer | React, Next.js, TypeScript, Node.js & IA | Construindo produtos digitais e soluções SaaS","2026-11-15 02:56:04",{"source":8,"skillName":5,"commands":35,"prompt":45,"zipAvailable":46},[36,39,42],{"tool":37,"command":38},"npx","npx skills add Henrique1601\u002FSkiilsToIAs --skill orch-build-mvp",{"tool":40,"command":41},"bunx","bunx skills add Henrique1601\u002FSkiilsToIAs --skill orch-build-mvp",{"tool":43,"command":44},"pnpm","pnpm dlx skills add Henrique1601\u002FSkiilsToIAs --skill orch-build-mvp","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FHenrique1601\u002FSkiilsToIAs\u002Fblob\u002Fmain\u002Fai-agents\u002Forch-build-mvp\u002FSKILL.md",true,[],[49,56,63,71,78,85],{"skillNo":50,"name":51,"nameZh":6,"description":52,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":53,"categories":54,"keywords":55,"publishedAt":19},"01M7E2ANBW9V6AVX5JXNCEAWF8","rag-architect-agent","Agente Arquiteto de RAG, Embeddings & Busca Vetorial. Especialista em design e implementação de pipelines de Retrieval-Augmented Generation de alta fidelidade: chunking semântico, modelagem pgvector no PostgreSQL (Neon\u002FSupabase), busca híbrida (cosseno + BM25), reranking, validação via TypeSafe AI e filosofia Ponytail (anti-overengineering).","https:\u002F\u002Fgithub.com\u002FHenrique1601\u002FSkiilsToIAs\u002Fblob\u002Fmain\u002Fcustom-agents\u002Frag-architect-agent\u002FSKILL.md",[],[],{"skillNo":57,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":60,"categories":61,"keywords":62,"publishedAt":19},"01M7E29KKF8R02ZRGYE2MJM67G","rag-architecture-patterns","Padrões arquiteturais e implementação de pipelines RAG (Retrieval-Augmented Generation) de alta fidelidade para qualquer projeto ou sistema. Cobre chunking semântico, embeddings, busca híbrida (pgvector + BM25), reranking, validação via TypeSafe AI e filosofia Ponytail (anti-overengineering).","https:\u002F\u002Fgithub.com\u002FHenrique1601\u002FSkiilsToIAs\u002Fblob\u002Fmain\u002Fai-agents\u002Frag-architecture-patterns\u002FSKILL.md",[],[],{"skillNo":64,"name":65,"nameZh":6,"description":66,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":67,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":70,"publishedAt":19},"01M7CWRA8E3BJ7CPY8N8EG28J1","skill-repair","Use this to fix and re-install agent skills that have failed installation.\nThis skill provides the necessary context and permissions to surgically update\nthe `manifest.json` after a fix has been applied.","Apache-2.0","https:\u002F\u002Fgithub.com\u002FHenrique1601\u002FSkiilsToIAs\u002Fblob\u002Fmain\u002Futilities\u002Fskill-repair\u002FSKILL.md",[],[],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":77,"publishedAt":19},"01M7CWR66FZP8FA47WVZ4Z2EXC","security-scan","Scan your Claude Code configuration (.claude\u002F directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.","https:\u002F\u002Fgithub.com\u002FHenrique1601\u002FSkiilsToIAs\u002Fblob\u002Fmain\u002Futilities\u002Fsecurity-scan\u002FSKILL.md",[],[],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":84,"publishedAt":19},"01M7CWR0QPY58QPTR1P759TFNG","security-review","Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment\u002Fsensitive features. Provides comprehensive security checklist and patterns.","https:\u002F\u002Fgithub.com\u002FHenrique1601\u002FSkiilsToIAs\u002Fblob\u002Fmain\u002Futilities\u002Fsecurity-review\u002FSKILL.md",[],[],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":91,"publishedAt":19},"01M7CWQXCE40XWT4FZ3VWZFGDP","security-bounty-hunter","Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.","https:\u002F\u002Fgithub.com\u002FHenrique1601\u002FSkiilsToIAs\u002Fblob\u002Fmain\u002Futilities\u002Fsecurity-bounty-hunter\u002FSKILL.md",[],[]]