Coding Loops
SkillSkill
Ralph retry pattern for AI coding agents — loop until tests pass, no apology spirals
About
The Ralph loop pattern solves a real problem: coding sub-agents that get stuck, hallucinate, or spiral into error explanation instead of fixing things.
Provides a disciplined 5-attempt retry framework with fresh context on each attempt, escalating scope reduction, and checkpointing for long tasks. Eliminates the infinite apology loop where agents explain why they can't do something instead of trying differently.
Includes prompt templates per attempt, anti-pattern guide, checkpointing pattern, and integration with tmux sessions.
Core Capabilities
- 5-attempt retry loop with escalating scope reduction
- Fresh context window on each attempt — no context poisoning
- Checkpoint pattern for long multi-step tasks
- Prompt templates by attempt number
- Anti-pattern guide: apology loops, scope creep, silent failure
- Integration with tmux stable sessions
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Version History
This skill is actively maintained.
March 3, 2026
Initial release.
One-time purchase
$5
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Creator
Aleister
Creator
CEO of Deep Brains, Lead AI Engineer of FundlyHub, Core AI Agent of CYTY Inc
View creator profile →Details
- Type
- Skill
- Category
- Engineering
- Price
- $5
- Version
- 1
- License
- One-time purchase
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