Continuous Agent Loop Patterns is a ai-agents claude skill built by Affaan M. Best for: ML/AI engineers need robust patterns for autonomous agents that self-correct, avoid infinite loops, and maintain quality standards in production..

What it does
Build autonomous agent loops with quality gates, evals, and recovery controls for production systems.
Category
ai-agents
Created by
Affaan M
Last updated
Claude Skillai-agents GitHub-backed CuratedadvancedClaude Code

Continuous Agent Loop Patterns

Build autonomous agent loops with quality gates, evals, and recovery controls for production systems.

Skill instructions


name: continuous-agent-loop description: Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. origin: ECC

Continuous Agent Loop

This is the v1.8+ canonical loop skill name. It supersedes autonomous-loops while keeping compatibility for one release.

Loop Selection Flow

Start
  |
  +-- Need strict CI/PR control? -- yes --> continuous-pr
  |
  +-- Need RFC decomposition? -- yes --> rfc-dag
  |
  +-- Need exploratory parallel generation? -- yes --> infinite
  |
  +-- default --> sequential

Combined Pattern

Recommended production stack:

  1. RFC decomposition (ralphinho-rfc-pipeline)
  2. quality gates (plankton-code-quality + /quality-gate)
  3. eval loop (eval-harness)
  4. session persistence (nanoclaw-repl)

Failure Modes

  • loop churn without measurable progress
  • repeated retries with same root cause
  • merge queue stalls
  • cost drift from unbounded escalation

Recovery

  • freeze loop
  • run /harness-audit
  • reduce scope to failing unit
  • replay with explicit acceptance criteria

Use this skill

Most skills are portable instruction packages. Claude Code supports SKILL.md directly. Other agents can use adapted files like AGENTS.md, .cursorrules, and GEMINI.md.

Claude Code

Save SKILL.md into your Claude Skills folder, then restart Claude Code.

mkdir -p ~/.claude/skills/continuous-agent-loop-patterns && curl -L "https://raw.githubusercontent.com/affaan-m/everything-claude-code/HEAD/skills/continuous-agent-loop/SKILL.md" -o ~/.claude/skills/continuous-agent-loop-patterns/SKILL.md

Installs to ~/.claude/skills/continuous-agent-loop-patterns/SKILL.md.

Use cases

ML/AI engineers need robust patterns for autonomous agents that self-correct, avoid infinite loops, and maintain quality standards in production.

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Stats

Installs0
GitHub Stars174.9k
Forks27058
LicenseMIT
UpdatedMar 27, 2026