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orch-change-feature

编排对现有工作特性进行修改,使其行为符合新的需求——更新测试以匹配新规格,修改实现以通过测试,审查并提交。适用于行为未损坏但需调整的场景。

orch-change-feature 是什么?

orch-change-feature 是一个专门用于修改已有功能行为的 AI 代理技能,适用于功能本身没有缺陷但需要调整行为以符合新需求的场景。它与 orch-fix-defect(修复缺陷)和 orch-add-feature(添加新功能)明确区分。该技能基于 orch-pipeline 共享引擎,采用轻量级操作流水线:默认从 Phase 4(更新现有测试)开始,先修改测试以表达新行为,再调整实现直至通过,然后经过代码审查和门禁(Gate 1: 计划/测试变更审批,Gate 2: 提交流程)才能最终提交。它支持多种 AI 代理平台(如 Claude Code、Cursor、Codex),默认任务规模为 small,仅在变更涉及安全触发时会加入 security-reviewer。此技能的关键价值在于确保开发者能够安全、有序地进行功能行为调整,避免引入意外错误。

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

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

何时使用

  • 现有功能工作正常,但期望的行为不同(“更改”、“调整”、“让它也...”、“不是 X 而是 Y”)。
  • 与兄弟技能的区别:
    • 不是损坏 → 不是 orch-fix-defect(无需复现缺陷)。
    • 不是新增 → 不是 orch-add-feature(功能已存在)。

操作设置

  • 默认规模下限: small——大多数调整只涉及一两个函数。
  • 阶段掩码: 0 →(仅当新行为需要调研时为 1)→ 轻量 2 → 4 → 5 → 6。
  • 第一步(阶段 4): 更新现有测试以表达新期望的行为,然后修改实现直到测试通过。先改测试是将调整与修复区分开的关键。

工作原理

  1. 使用上述设置运行 orch-pipeline 引擎。
  2. 保持计划轻量——仅 standard+ 规模需要完整的 planner 流程。
  3. 在门禁 1(计划/变更测试审批)和门禁 2(预提交)处暂停。
  4. 如果变更触及安全触发器,则添加 security-reviewer。

示例

orch-change-feature: 让 nws-poller 在出现 2 个警告时报警,而不是 3 个
→ 更新阈值测试以匹配新规格 → 修改实现使测试通过
→ 代码审查 → 提交  [门禁 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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