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orch-add-feature

協調端到端的新功能開發流程——從研究、規劃、TDD 實作、審查到門控提交——透過將每個階段委派給對應的 ECC 代理來完成。當需要新增目前尚不存在的功能時使用。

orch-add-feature 是什麼?

此技能(orch-add-feature)是一個專業 AI 代理技能,用於協調從頭開始建構全新功能的完整流程。它主要用於使用者希望新增「還不存在」的功能(如「添加」、「建構」、「實作」)時,而非修正缺陷或改變現有行為。其設計作為 `orch-pipeline` 共享引擎的輕量包裝器,並繼承了該引擎的大小分類器與兩道關卡(Gate 1:計劃批准;Gate 2:提交前檢查)。工作流程依預設階段遮罩(0→1→2→4→5→6,跳過僅 MVP 用的階段 3 Scaffold)執行:首先執行研究與規劃,若功能較小則自動收斂到階段 4→5→6。在階段 4,代理會先為新行為撰寫失敗的測試,然後實作使其通過。該技能支援 Claude Code 等平台,並在涉及安全觸發時自動引入 `security-reviewer`。與獨立的 `/feature-dev` 相比,`orch-add-feature` 透過共用引擎來確保對小功能進行正確的規模調整,從而提高效率。

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

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開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

orch-add-feature 是做什麼的?

Actor · action · target:orch · add · feature。一個薄層包裝器,共用 orch-pipeline 中的引擎。

使用時機

  • 使用者想要一個尚不存在的功能(「添加」、「建構」、「實作」、「支援……」)。
  • 這是全新的行為——不是修正錯誤(orch-fix-defect),也不是改變現有行為(orch-change-feature)。

操作設定

  • 預設大小下限: 標準——除非明顯很小,否則執行研究與規劃。
  • 階段遮罩: 0 → 1 → 2 → 4 → 5 → 6(跳過階段 3 Scaffold;該階段僅用於 MVP)。
  • 第一步(階段 4): 為新行為撰寫新的失敗測試,然後實作使其通過。

運作方式

  1. 使用上述設定執行 orch-pipeline 引擎。
  2. 首先分類大小;小型/瑣碎的功能會收斂為 4 → 5 → 6。
  3. 在關卡 1(計劃批准)和關卡 2(提交前)停止。
  4. 如果功能觸及安全觸發器,則添加 security-reviewer。

相關:/feature-dev 是此流程的獨立版本。orch-add-feature 的不同之處在於它與系列中的其他技能共用 orch-pipeline 引擎——大小分類器和兩個關卡——因此它能將瑣碎功能正確調整為 4 → 5 → 6。

範例

orch-add-feature: add OAuth2 login to nws-poller
→ research existing auth libs → plan task_list  [GATE 1: approve]
→ TDD each task → code-review (+ security-reviewer: auth path)
→ commit  [GATE 2: confirm]

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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