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loop-agente-continuo

Padrões para loops autônomos contínuos de agentes com portões de qualidade, avaliações e controles de recuperação. Use ao executar um loop de agente que deve se auto-verificar, passar por avaliações e se recuperar de falhas.

O que é loop-agente-continuo?

O Contínuo Agent Loop é um padrão de habilidade canônico (v1.8+) que permite loops autônomos de agentes com auto-verificação rigorosa, portões de qualidade e mecanismos de recuperação. Ele substitui o padrão `autonomous-loops`, mantendo compatibilidade por uma versão. A habilidade oferece um fluxo de seleção de loop que guia o desenvolvedor na escolha do padrão ideal: PR contínuo, decomposição RFC, geração paralela exploratória ou o loop sequencial padrão. Para uma pilha de produção recomendada, ela sugere combinar decomposição RFC, portões de qualidade, loop de avaliação e persistência de sessão. Além disso, documenta modos de falha comuns, como churn sem progresso ou retentativas com a mesma causa raiz, e fornece etapas de recuperação claras, como congelar o loop, executar uma auditoria e reduzir o escopo até a unidade com falha. É uma ferramenta essencial para desenvolvedores que precisam de loops de agente confiáveis, controlados e eficientes em ambientes CI/CD, ferramentas de linha de comando e IDEs.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/continuous-agent-loop
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Documentação

Loop Agente Contínuo

Este é o nome de habilidade de loop canônico v1.8+. Ele substitui autonomous-loops mantendo compatibilidade por uma versão.

Fluxo de Seleção de Loop

Início
  |
  +-- Precisa de controle estrito de CI/PR? -- sim --> continuo-pr
  |
  +-- Precisa de decomposição RFC? -- sim --> rfc-dag
  |
  +-- Precisa de geração paralela exploratória? -- sim --> infinito
  |
  +-- padrão --> sequencial

Padrão Combinado

Pilha de produção recomendada:

  1. Decomposição RFC (ralphinho-rfc-pipeline)
  2. Portões de qualidade (plankton-code-quality + /quality-gate)
  3. Loop de avaliação (eval-harness)
  4. Persistência de sessão (nanoclaw-repl)

Modos de Falha

  • Churn do loop sem progresso mensurável
  • Retentativas repetidas com a mesma causa raiz
  • Paradas na fila de merge
  • Deriva de custo por escalada ilimitada

Recuperação

  • Congele o loop
  • Execute /harness-audit
  • Reduza o escopo para a unidade com falha
  • Reexecute com critérios de aceitação explícitos

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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