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orch-change-feature

Orquestra a alteração de uma funcionalidade existente e funcional para um novo comportamento desejado — atualiza seus testes para a nova especificação, altera a implementação para corresponder, revisa e faz commit com portão de verificação. Use quando o comportamento não está quebrado, mas deve ser diferente.

O que é orch-change-feature?

O skill orch-change-feature é um wrapper leve sobre o motor compartilhado em orch-pipeline, projetado para cenários onde uma funcionalidade existente funciona corretamente, mas seu comportamento precisa ser alterado (por exemplo, 'ajustar', 'fazer também', 'em vez de X fazer Y'). Ao contrário de orch-fix-defect (usado para bugs) ou orch-add-feature (para funcionalidades totalmente novas), este skill foca em modificações direcionadas. O fluxo começa com a atualização dos testes existentes para refletir a nova especificação desejada (fase 4), seguida pela alteração da implementação até que os testes passem. O processo inclui duas etapas de aprovação (Gate 1 para plano/testes alterados e Gate 2 para pré-commit) e adiciona um revisor de segurança se a mudança envolver gatilhos de segurança. O tamanho padrão das alterações é pequeno (função ou duas), e o plano completo só é acionado para tamanhos 'standard' ou maiores. Este skill é suportado em qualquer plataforma que execute o motor orch-pipeline, como Claude Code, Cursor ou Codex.

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

O que orch-change-feature faz?

Ator · ação · alvo: orch · change · feature. Wrapper leve sobre o motor compartilhado em orch-pipeline.

Quando Usar

  • Uma funcionalidade existente funciona, mas o comportamento desejado é diferente ("alterar", "ajustar", "fazer também …", "em vez de X fazer Y").
  • Distinga dos similares:
    • não está quebrada → não orch-fix-defect (nenhum bug para reproduzir).
    • não é nova → não orch-add-feature (a capacidade já existe).

Configurações de Operação

  • Tamanho mínimo padrão: pequeno — a maioria dos ajustes envolve uma ou duas funções.
  • Máscara de fase: 0 → (1 apenas se o novo comportamento precisar de pesquisa) → leve 2 → 4 → 5 → 6.
  • Primeiro movimento (fase 4): atualizar os testes existentes para expressar o novo comportamento desejado, depois alterar a implementação até que passem. Alterar os testes primeiro é o que diferencia um ajuste de uma correção.

Como Funciona

  1. Execute o motor orch-pipeline com as configurações acima.
  2. Mantenha o plano leve — apenas tamanho standard+ justifica a passagem completa do planner.
  3. Pare no Portão 1 (aprovação do plano/testes alterados) e no Portão 2 (pré-commit).
  4. Adicione security-reviewer se a alteração tocar em um gatilho de segurança.

Exemplo

orch-change-feature: fazer nws-poller alertar com 2 avisos em vez de 3
→ atualizar testes de limite para a nova especificação → alterar implementação para ficar verde
→ revisão de código → commit  [PORTÃO 2: confirmar]

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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