continuous-agent-loop — continuous-agent-loop AI agent skill continuous-agent-loop, everything-claude-code, official, continuous-agent-loop AI agent skill, ide skills, continuous-agent-loop for Claude Code, Claude Code, Cursor, Windsurf

Verified
v1.0.0
GitHub

About this Skill

Ideal for Advanced AI Agents requiring autonomous loop management with quality gates and recovery controls. Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

# Core Topics

continuous-agent-loop AI agent skill continuous-agent-loop for Claude Code
affaan-m affaan-m
[116.8k]
[15188]
Updated: 3/30/2026

Agent Capability Analysis

The continuous-agent-loop skill by affaan-m is an open-source official AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for continuous-agent-loop AI agent skill, continuous-agent-loop for Claude Code.

Ideal Agent Persona

Ideal for Advanced AI Agents requiring autonomous loop management with quality gates and recovery controls.

Core Value

Empowers agents to manage complex workflows using RFC decomposition with ralphinho-rfc-pipeline, enforce quality gates via plankton-code-quality, and implement eval loops with eval-harness, ensuring robust continuous integration and delivery.

↓ Capabilities Granted for continuous-agent-loop

Automating loop selection flows for optimized workflow management
Implementing quality gates for code quality assurance with plankton-code-quality
Debugging loop churn issues using /harness-audit and nanoclaw-repl for session persistence

! Prerequisites & Limits

  • Requires strict CI/PR control for certain workflows
  • Needs compatible session persistence tools like nanoclaw-repl
  • May experience loop churn or cost drift without proper configuration and recovery controls
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

continuous-agent-loop

Install continuous-agent-loop, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

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

text
1Start
2  |
3  +-- Need strict CI/PR control? -- yes --> continuous-pr
4  |
5  +-- Need RFC decomposition? -- yes --> rfc-dag
6  |
7  +-- Need exploratory parallel generation? -- yes --> infinite
8  |
9  +-- 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

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is continuous-agent-loop?

Ideal for Advanced AI Agents requiring autonomous loop management with quality gates and recovery controls. Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

How do I install continuous-agent-loop?

Run the command: npx killer-skills add affaan-m/everything-claude-code/continuous-agent-loop. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for continuous-agent-loop?

Key use cases include: Automating loop selection flows for optimized workflow management, Implementing quality gates for code quality assurance with plankton-code-quality, Debugging loop churn issues using /harness-audit and nanoclaw-repl for session persistence.

Which IDEs are compatible with continuous-agent-loop?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for continuous-agent-loop?

Requires strict CI/PR control for certain workflows. Needs compatible session persistence tools like nanoclaw-repl. May experience loop churn or cost drift without proper configuration and recovery controls.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add affaan-m/everything-claude-code/continuous-agent-loop. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use continuous-agent-loop immediately in the current project.

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