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orch-change-feature

기존에 동작하는 기능을 새로운 원하는 동작으로 변경 — 테스트를 새 명세에 맞게 업데이트하고, 구현을 변경하고, 검토한 후 게이트된 커밋을 수행합니다. 동작이 고장난 것이 아니라 다르게 동작해야 할 때 사용하세요.

orch-change-feature란 무엇인가요?

이 스킬은 이미 정상 동작하지만 동작 방식을 변경해야 하는 기존 기능을 조정하기 위한 오케스트레이션 파이프라인입니다. `orch-pipeline` 엔진을 기반으로 하며, 버그 수정(`orch-fix-defect`)이나 신규 기능 추가(`orch-add-feature`)와 달리 ‘기존 기능의 동작 변경’에 특화되어 있습니다. 주로 1~2개의 함수 수준인 small 규모 변경을 처리하며, 먼저 기존 테스트를 새 명세에 맞게 업데이트한 후 구현을 변경해 테스트를 통과시키는 방식(Test-First 접근)으로 동작합니다. 변경 계획 및 변경된 테스트 승인(Gate 1)과 사전 커밋 승인(Gate 2)에서 게이트를 만나며, 보안 트리거가 있는 경우 보안 검토자를 추가합니다. 주요 사용 사례로는 ‘nws-poller의 경고 임계값을 3에서 2로 변경’과 같은 요청이 있습니다.

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

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

orch-change-feature은(는) 무엇을 하나요?

Actor · action · target: orch · change · feature. 공유 엔진인 orch-pipeline의 얇은 래퍼입니다.

사용 시기

  • 기존 기능이 동작하지만 원하는 동작이 다른 경우 ("변경", "조정", "또한 … 하게", "X 대신 Y").
  • 다음과 구별하십시오:
    • 고장나지 않음 → orch-fix-defect 아님 (재현할 버그가 없음).
    • 신규가 아님 → orch-add-feature 아님 (기능이 이미 존재함).

동작 설정

  • 기본 크기 하한: small — 대부분의 조정은 함수 하나 또는 두 개 수준입니다.
  • 단계 마스크: 0 → (새 동작에 연구가 필요할 때만 1) → 가벼운 2 → 4 → 5 → 6.
  • 첫 번째 동작 (4단계): 기존 테스트를 새로운 원하는 동작을 표현하도록 업데이트한 후, 구현을 변경하여 테스트가 통과할 때까지 반복합니다. 테스트를 먼저 변경하는 것이 조정(tweak)과 수정(fix)을 구분 짓는 핵심입니다.

작동 방식

  1. 위 설정으로 orch-pipeline 엔진을 실행합니다.
  2. 계획을 가볍게 유지합니다 — 오직 standard+ 크기에서만 전체 planner 패스를 사용합니다.
  3. Gate 1 (계획 / 변경된 테스트 승인)과 Gate 2 (사전 커밋)에서 중단합니다.
  4. 변경 사항이 보안 트리거에 영향을 미치는 경우 security-reviewer를 추가합니다.

예시

orch-change-feature: nws-poller가 경고를 3개 대신 2개에서 알리도록 변경
→ 임계값 테스트를 새 명세로 업데이트 → 구현을 변경하여 통과
→ 코드 리뷰 → 커밋  [GATE 2: 확인]

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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