ralph-autonomous-loops
CommunityCreate persistent, self-correcting OpenCode loops.
Authorjbhicks
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a structured pattern for building Ralph Wiggum autonomous loops with OpenCode AI agents, enabling persistent context, self-correction, and measurable progress across iterations to tackle long-running development tasks.
Core Features & Use Cases
- Orchestrator/sub-agent two-tier architecture that distributes work and maintains fresh contexts
- Task management with explicit success criteria, progress tracking, and verification gates
- Context persistence and checkpointing to avoid information loss between iterations
- Feedback loops and automatic iteration control with safety limits (max iterations, cost)
- Use cases include automating complex software development tasks, API integrations, and end-to-end feature rollouts
Quick Start
Use the Ralph loop pattern to start an autonomous development cycle for a complex integration task.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ralph-autonomous-loops Download link: https://github.com/jbhicks/sound-cistern/archive/main.zip#ralph-autonomous-loops Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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