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continuous-agent-loop

継続的な自律エージェントループのパターン。品質ゲート、評価、および障害回復制御を備えています。自己チェック、評価に基づくゲート、障害からの回復が必要なエージェントループを実行する際に使用します。

continuous-agent-loop とは？

このスキルは、AIエージェントが自律的に動作する継続的なループを実装するための標準パターンを提供します。v1.8以降の正規ループスキル名であり、以前の`autonomous-loops`を置き換え、互換性を維持しつつ新しい機能を追加しています。主なユースケースとしては、厳格なCI/PR制御、RFC分解による計画駆動、探索的並列生成などがあり、状況に応じて最適なループタイプ（continuous-pr、rfc-dag、infinite、sequential）を選択できます。また、本番環境向けの推奨スタックとして、RFC分解、品質ゲート、評価ループ、セッション永続化を組み合わせたパターンを提供します。障害モードとしては、測定可能な進捗がないループチャーン、同じ根本原因での再試行の繰り返し、マージキューの停滞、エスカレーションによるコスト増加などに対処し、回復手順としてループの凍結、監査の実行、スコープ縮小、明示的な受入基準での再実行を推奨しています。

対応~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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お気に入りのAIに質問する

このエージェントスキルを事前に読み込んだ状態で新しいチャットを開きます。

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

ドキュメント

Continuous Agent Loop

これはv1.8以降の正規ループスキル名です。autonomous-loopsを置き換え、1リリースの間は互換性を維持します。

ループ選択フロー

開始
  |
  +-- 厳格なCI/PR制御が必要？ -- yes --> continuous-pr
  |
  +-- RFC分解が必要？ -- yes --> rfc-dag
  |
  +-- 探索的並列生成が必要？ -- yes --> infinite
  |
  +-- デフォルト --> sequential

複合パターン

推奨される本番スタック:

  1. RFC分解 (ralphinho-rfc-pipeline)
  2. 品質ゲート (plankton-code-quality + /quality-gate)
  3. 評価ループ (eval-harness)
  4. セッション永続化 (nanoclaw-repl)

障害モード

  • 測定可能な進捗のないループチャーン
  • 同じ根本原因での再試行の繰り返し
  • マージキューの停滞
  • 無制限のエスカレーションによるコスト増加

回復

  • ループを凍結する
  • /harness-audit を実行する
  • 失敗しているユニットにスコープを縮小する
  • 明示的な受入基準でリプレイする

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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