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orch-add-feature

编排全新功能的端到端构建——研究、规划、TDD实现、评审和门控提交——通过将每个阶段委托给相应的ECC智能体。当需要添加尚不存在的能力时使用。

orch-add-feature 是什么?

orch-add-feature 是一个编排型智能体技能,用于从零开始构建全新功能。它通过将整个开发流程分解为研究、规划、TDD实现、代码评审和门控提交等多个阶段,并委托给对应的ECC智能体来执行,从而实现端到端的自动化。该技能的核心是一个轻量级的包装器,基于共享的 orch-pipeline 引擎,支持在 Claude Code、Cursor 和 Codex 等平台上运行。通过预配置的相位掩码和自动化大小分类器,它能够智能地决定是否需要研究阶段,并在“门1”(规划批准)和“门2”(提交前)处设置检查点,确保质量。此外,如果新功能涉及安全敏感区域,技能会自动引入 security-reviewer 智能体。这使得开发者可以专注于高层指令,而将繁琐的分解和协调工作交给AI,极大地提升了新功能交付的速度和一致性。

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

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

文档

orch-add-feature 是做什么的?

角色 · 动作 · 目标:orch · add · feature。对共享引擎 orch-pipeline 的轻量封装。

何时使用

  • 用户想要一个尚不存在的能力(“添加”、“构建”、“实现”、“支持……”)。
  • 这是全新的行为——而不是修正(orch-fix-defect)或更改现有行为(orch-change-feature)。

操作设置

  • 默认规模下限: 标准——除非明显很小,否则运行“研究+规划”。
  • 相位掩码: 0 → 1 → 2 → 4 → 5 → 6(跳过阶段 3 搭建;该阶段仅限 MVP 使用)。
  • 第一步(阶段 4): 为新行为编写新的失败测试,然后实现直至测试通过。

工作原理

  1. 使用上述设置运行 orch-pipeline 引擎。
  2. 首先分类规模;小/琐碎的功能会折叠为 4 → 5 → 6。
  3. 在门 1(规划批准)和门 2(提交前)处停止。
  4. 如果功能触及安全触发器,则添加 security-reviewer。

相关:/feature-dev 是该流程的独立版本。orch-add-feature 的不同之处在于它与家族中其他成员共享 orch-pipeline 引擎(规模分类器和两个门),从而将琐碎功能正确规模化为 4 → 5 → 6。

示例

orch-add-feature: 为 nws-poller 添加 OAuth2 登录
→ 研究现有的认证库 → 规划任务列表  [门 1: 批准]
→ TDD 每个任务 → 代码评审(+ security-reviewer: 认证路径)
→ 提交  [门 2: 确认]

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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