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orch-fix-defect

버그를 수정하기 위해 — 실패하는 회귀 테스트로 재현하고, 수정하여 통과시키고, 리뷰하고, 게이트된 커밋까지 — 각 단계를 해당 ECC 에이전트에 위임하여 오케스트레이션합니다. 기존 동작이 깨졌거나 잘못된 경우 사용하세요.

orch-fix-defect란 무엇인가요?

이 스킬은 코드베이스에서 버그를 체계적으로 수정하기 위한 오케스트레이션 파이프라인입니다. 'orch-fix-defect'는 기존 동작이 깨졌거나 잘못된 경우(오류, 크래시, 잘못된 출력, 회귀)에 사용되며, 동작은 올바르지만 변경이 필요한 'orch-change-feature'나 새로운 기능이 필요한 'orch-add-feature'와 구분됩니다. `orch-pipeline` 엔진을 기반으로 하며, 기본 단계는 작은(사소한) 수준입니다. 첫 번째 단계(4단계)는 버그를 실패하는 새 테스트(회귀 테스트)로 재현한 후 테스트가 통과할 때까지 수정하는 것입니다. 이는 단순한 조정이 아닌 버그 존재를 증명하는 핵심 절차입니다. 필요 시 근본 원인이 불분명하면 `code-explorer`로 범위를 좁히고, 빌드 실패는 `build-error-resolver`로 에스컬레이션합니다. 보안 민감 경로의 결함에는 `security-reviewer`를 추가합니다. 게이트 1(계획 생성 시)과 게이트 2(커밋 전)에서 멈춰 검토를 요청합니다. Claude Code, Cursor, Codex 등 ECC 에이전트를 지원하는 환경에서 사용할 수 있습니다.

지원 대상✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/orch-fix-defect
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문서

orch-fix-defect은(는) 무엇을 하나요?

Actor · action · target: orch · fix · defect. 공유 엔진 orch-pipeline 위의 얇은 래퍼.

사용 시기

  • 무언가 깨졌을 때: 잘못된 출력, 오류, 크래시, 회귀.
  • 다음과 구분:
    • 동작은 올바르지만 변경이 필요함 → orch-change-feature.
    • 기능이 아직 존재하지 않음 → orch-add-feature.

작업 설정

  • 기본 크기 하한: small (보통 사소함).
  • 단계 마스크: 0 → (근본 원인이 명확하지 않거나 standard+인 경우에만 light 2) → 4 → 5 → 6. Research(1)는 보통 생략.
  • 첫 번째 동작(4단계): 버그를 새로운 실패 테스트(회귀 테스트)로 재현한 후, 통과할 때까지 수정. 먼저 버그가 존재함을 증명하는 것이 수정과 단순 조정을 구분짓는 요소.

작동 방식

  1. 위 설정으로 orch-pipeline 엔진을 실행합니다.
  2. 근본 원인이 불분명하면 빨간 테스트 전에 code-explorer로 범위를 좁히고, 빌드 실패는 build-error-resolver / /build-fix로 에스컬레이션합니다.
  3. 게이트 1(계획이 생성된 경우에만)과 게이트 2(커밋 전)에서 멈춥니다.
  4. 결함이 보안 민감 경로에 있으면 security-reviewer를 추가합니다.

예시

orch-fix-defect: poller가 빈 NWS 응답에서 크래시 발생
→ 크래시를 재현하는 실패 테스트 작성 → 통과하도록 수정
→ 코드 리뷰 → 커밋  [GATE 2: 확인]   (커밋: fix:)

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/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/ECC

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳：このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

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.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

관련 스킬

steipete/video-frames

Extract frames or short clips from videos using ffmpeg.

community

steipete/summarize

Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.

community

openclaw/openclaw

Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.

community

obra/superpowers

Obra superpowers agent skills.

community

affaan-m/ECC

See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...

community

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.

community