AGENT SKILL

autonomous-loops

Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.

License 许可
MIT
最近更新
2026-11-02
Stars
★ 0
Forks
0

01 前言 Front Matter

name
autonomous-loops
origin
ECC
description
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.

03 SKILL.md 正文

Autonomous Loops Skill

Compatibility note (v1.8.0): autonomous-loops is retained for one release. The canonical skill name is now continuous-agent-loop. New loop guidance should be authored there, while this skill remains available to avoid breaking existing workflows.

Patterns, architectures, and reference implementations for running Claude Code autonomously in loops. Covers everything from simple claude -p pipelines to full RFC-driven multi-agent DAG orchestration.

When to Use

  • Setting up autonomous development workflows that run without human intervention
  • Choosing the right loop architecture for your problem (simple vs complex)
  • Building CI/CD-style continuous development pipelines
  • Running parallel agents with merge coordination
  • Implementing context persistence across loop iterations
  • Adding quality gates and cleanup passes to autonomous workflows

Loop Pattern Spectrum

From simplest to most sophisticated:

Pattern Complexity Best For
Sequential Pipeline Low Daily dev steps, scripted workflows
NanoClaw REPL Low Interactive persistent sessions
Infinite Agentic Loop Medium Parallel content generation, spec-driven work
Continuous Claude PR Loop Medium Multi-day iterative projects with CI gates
De-Sloppify Pattern Add-on Quality cleanup after any Implementer step

1. Sequential Pipeline (claude -p)

Core Insight

Startup-config safety: add --bare in any checkout you do not control

Untrusted / unattended: skip the checkout's startup surface entirely.

daily-dev.sh — Sequential pipeline for a feature branch

Step 1: Implement the feature

Step 2: De-sloppify (cleanup pass)

Step 3: Verify

Step 4: Commit

Key Design Principles

Variations

04 同仓库更多 Skills

Prekzursil
Prekzursil/agent-skills-toolchain

clarify-requirements

Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.

★ 0
Prekzursil
Prekzursil/agent-skills-toolchain

openmm-md

Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein / protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.

Skill与智能体开发
★ 0
Prekzursil
Prekzursil/agent-skills-toolchain

visual-review

Take screenshots of web pages and UI using Playwright for visual review and iteration

演示文稿测试与质量
★ 0
Prekzursil
Prekzursil/agent-skills-toolchain

status

Diagnostic status report — shows metaswarm installation state, project setup, and potential issues

★ 0
Prekzursil
Prekzursil/agent-skills-toolchain

start

Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work

Skill与智能体开发
★ 0
Prekzursil
Prekzursil/agent-skills-toolchain

setup

Interactive project setup — detects your project, configures metaswarm, writes project-local files

★ 0