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지속적 에이전트 루프

품질 게이트, 평가, 복구 제어 기능을 갖춘 지속적 자율 에이전트 루프 패턴입니다. 자체 점검, 평가 기반 게이팅, 장애 복구가 필요한 에이전트 루프를 실행할 때 사용합니다.

지속적 에이전트 루프란 무엇인가요?

이 스킬은 에이전트가 자율적으로 반복 작업을 수행하면서도 코드 품질, 평가 통과, 장애 복구를 체계적으로 관리할 수 있도록 설계된 지속적 에이전트 루프 패턴을 제공합니다. v1.8+ 버전부터 사용 가능한 표준 루프 스킬로, 기존 `autonomous-loops`를 대체하며 이전 버전과의 호환성을 유지합니다. 루프 선택 흐름도를 통해 CI/PR 제어가 필요한 경우 `continuous-pr`, RFC 분해가 필요한 경우 `rfc-dag`, 탐색적 병렬 생성을 원할 경우 `infinite`, 기본값으로 `sequential`을 제안합니다. 또한 RFC 파이프라인, 품질 게이트, 평가 루프, 세션 지속성을 조합한 권장 프로덕션 스택을 제공하여 안정적인 자동화 워크플로우를 구축할 수 있습니다. 측정 가능한 진전 없이 루프가 계속 도는 것, 동일한 근본 원인으로 재시도 반복, 병합 대기열 지연, 비용 폭주 등 일반적인 실패 모드를 미리 정의하고, 루프 정지, `/harness-audit` 실행, 실패 단위로 범위 축소, 명시적 수락 기준으로 재실행하는 복구 절차를 안내합니다.

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

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

지속적 에이전트 루프은(는) 무엇을 하나요?

이것은 v1.8+ 표준 루프 스킬 이름입니다. 한 릴리스 동안 호환성을 유지하면서 autonomous-loops를 대체합니다.

루프 선택 흐름

시작
  |
  +-- 엄격한 CI/PR 제어 필요? -- 예 --> continuous-pr
  |
  +-- RFC 분해 필요? -- 예 --> rfc-dag
  |
  +-- 탐색적 병렬 생성 필요? -- 예 --> infinite
  |
  +-- 기본값 --> sequential

결합 패턴

권장 프로덕션 스택:

  1. RFC 분해 (ralphinho-rfc-pipeline)
  2. 품질 게이트 (plankton-code-quality + /quality-gate)
  3. 평가 루프 (eval-harness)
  4. 세션 지속성 (nanoclaw-repl)

실패 모드

  • 측정 가능한 진전 없이 루프가 계속 도는 현상
  • 동일한 근본 원인으로 재시도 반복
  • 병합 대기열 지연
  • 무제한 확장으로 인한 비용 폭주

복구

  • 루프 정지
  • /harness-audit 실행
  • 실패 단위로 범위 축소
  • 명시적 수락 기준으로 재실행

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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