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orch-fix-defect

Orquesta la corrección de un bug: reprodúcelo como una prueba de regresión fallida, corrígelo hasta que pase, revisa y haz un commit supervisado, delegando cada fase al agente ECC correspondiente. Úsalo cuando el comportamiento existente está roto o es incorrecto.

¿Qué es orch-fix-defect?

Este skill, `orch-fix-defect`, está diseñado para orquestar la corrección de defectos en proyectos de software siguiendo un flujo de trabajo estructurado: reproducción del bug mediante una prueba de regresión fallida, corrección del código hasta que la prueba pase, revisión por pares y commit supervisado. Es útil cuando el comportamiento existente es incorrecto, produce errores, crasheos o regresiones, distinguiéndose de otros skills como `orch-change-feature` (para cambiar comportamiento correcto) o `orch-add-feature` (para añadir funcionalidad nueva). Soporta plataformas como Claude Code, Cursor o Codex que implementen el patrón de agente "ECC" (Ejecuta, Corrige y Confirma). El skill delega cada fase del pipeline a un agente especializado: primero reproduce el defecto como una prueba fallida, luego corrige hasta que pase, y finalmente pasa por revisiones y compuertas de calidad. Incluye una máscara de fase que salta la investigación inicial (fase 1) a menos que la causa raíz no sea obvia, y permite escalar problemas de compilación a `build-error-resolver`. El resultado es un commit bien fundamentado con un mensaje que comienza con "fix:". La operación se detiene en dos compuertas: Gate 1 (si se produjo un plan) y Gate 2 (previo al commit), y puede añadir un revisor de seguridad si el defecto afecta una ruta sensible.

Compatible con✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/orch-fix-defect
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Documentación

¿Qué hace orch-fix-defect?

Actor · acción · objetivo: orch · fix · defect. Wrapper ligero sobre el motor compartido en orch-pipeline.

Cuándo usarlo

  • Algo está roto: salida incorrecta, un error, un crasheo, una regresión.
  • Distinguir de skills similares:
    • el comportamiento es correcto pero se desea cambiarlo → orch-change-feature.
    • la capacidad aún no existe → orch-add-feature.

Ajustes de operación

  • Tamaño mínimo por defecto: pequeño (a menudo trivial).
  • Máscara de fase: 0 → (fase 2 ligera solo si la causa raíz no es obvia o estándar+) → 4 → 5 → 6. La investigación (1) normalmente se omite.
  • Primer movimiento (fase 4): reproducir el bug como una nueva prueba fallida (prueba de regresión), luego corregir hasta que pase. Demostrar primero que el bug existe es lo que diferencia una corrección de un ajuste.

Cómo funciona

  1. Ejecuta el motor orch-pipeline con los ajustes anteriores.
  2. Si la causa raíz no está clara, delimítala con code-explorer antes de la prueba roja; escala los errores de compilación a build-error-resolver / /build-fix.
  3. Detente en la Puerta 1 (solo si se produjo un plan) y en la Puerta 2 (previo al commit).
  4. Añade security-reviewer si el defecto se encuentra en una ruta sensible a la seguridad.

Ejemplo

orch-fix-defect: el poller crashea al recibir una respuesta NWS vacía
→ escribir prueba fallida que reproduce el crasheo → corregir hasta que pase
→ revisión de código → commit  [PUERTA 2: confirmar]   (commit: 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/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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