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orch-build-mvp

根據設計或規格文件編排引導建立可運作的 MVP – 讀入文件、規劃垂直切片、支架第一個端到端切片,然後以 TDD 方式實作、審查並分閘提交。

orch-build-mvp 是什麼?

此技能 (`orch-build-mvp`) 是一個將設計/規格文件 (如 SDD、PRD) 快速轉換為可運作 MVP 的編排工具。它會分析文件,拆出範圍、鎖定決策與功能清單,並排序成「薄垂直切片」,確保第一個切片是完整的端到端路徑。接著透過現成的 GAN 框架 (`gan-harness`) 驅動建置:它將規格轉譯為 `spec.md` 與 `eval-rubric.md`,再執行 `/gan-build` 指令 (`--skip-planner`),該指令會反覆進行生成器→評估器迴圈,直到分數達標或收斂。技能支援 Playwright 或純程式碼評估模式,並在關鍵閘門(切片計畫閘門 1 與預提交閘門 2)處暫停,讓開發者審查。它會為每個切片產生獨立的 `feat:` 提交,並在感安全性的切片中加入安全審查。適用於 Claude Code、Coda 等支援 AI 代理的開發環境。

相容平台✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/orch-build-mvp

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說明文件

orch-build-mvp 是做什麼的?

角色 · 動作 · 目標:orch · build · mvp。是 orch-pipeline 中共享引擎的輕量封裝。

使用時機

  • 使用者有設計/規格文件(SDD、PRD、system_design),並希望從中引導建立一個可運作的垂直切片。
  • 以文件路徑作為引數,例如 civicpulse/docs/SDD-v0.6.md。

操作設定

  • 預設大小下限: large — 這是包含支架在內的完整管線。
  • 階段遮罩: 0(讀取規格)→ 1 → 2(重度)→ 3(支架)→ 4 → 5 → 6。
  • 第一步(階段 0 → 2): 讀取文件;提取範圍、鎖定決策與功能清單;將其排序為薄垂直切片(先做一條端到端路徑,而非先做所有模型再做所有視圖)。階段 3 支架該第一個切片。

運作方式

  1. 使用上述設定執行 orch-pipeline 引擎。
  2. 重複使用現有的 GAN 框架,而非手動編寫迭代迴圈:
    • 將 SDD 轉譯為 gan-harness/spec.md + gan-harness/eval-rubric.md (這相當於 gan-planner 會產生的內容 — 你已經有規格)。
    • 使用 /gan-build "<一行簡述>" --skip-planner 驅動建置 (預設:--max-iterations 15、--pass-threshold 7.0、 --eval-mode playwright;對非 UI 切片使用 --eval-mode code-only)。
    • 該指令執行 gan-generator → gan-evaluator 迴圈,並將結果寫入 gan-harness/feedback/feedback-NNN.md,直到分數達標或收斂。
  3. 在閘門 1(切片計畫)和閘門 2(預提交)處停止。將支架和每個切片分別提交為獨立的 feat: 提交。
  4. 對任何觸及安全觸發器的切片,加入 security-reviewer。

範例

orch-build-mvp: civicpulse/docs/SDD-v0.6.md
→ 讀取 SDD → 切片清單(垂直)→ 支架切片 1  [閘門 1:核准]
→ /gan-build --skip-planner(生成器 → 評估器迴圈)根據規格評分 → 審查
→ 提交 feat:  [閘門 2:確認] → 下一個切片

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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