design-loops
CommunityTurn data into smarter agent loops over time.
AuthorSujinHwang27
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This design skill provides a structured approach to building and evolving compounding feedback loops that make an agent OS smarter as it accumulates data over time.
Core Features & Use Cases
- Loop design: Map actions, data producers, readers, and coaching signals across multiple feedback loops.
- Degradation & thresholds: Define behavior for cold-start, sparse data, and rich data scenarios to prevent degraded performance.
- Retro modeling & cross-loop impact: Specify metrics, bottlenecks, and how loop outputs influence other loops.
Quick Start
Write the complete feedback loop design to domain-input/feedback-loops.md and output/designs/loop-designs.md, then run /generate-os to assemble everything.
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: design-loops Download link: https://github.com/SujinHwang27/agent-os-lab/archive/main.zip#design-loops Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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