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Execute workflow agents iteratively for refinement and progressive improvement until quality criteria are met. Use when tasks require repetitive refinement, multi-iteration improvements, progressive optimization, or feedback loops until convergence.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Checkpoint episodes and create handoff packs for multi-agent session continuity
Configure, test, benchmark, and manage embedding providers for semantic search and vector operations
Create and traverse typed relationships between episodes for dependency tracking and knowledge graphs
Manage episode tags for organization, filtering, and retrieval across the memory system
Generate task playbooks and explain patterns using learned strategies from episodic memory
Record and analyze recommendation sessions and feedback to drive the self-learning loop
| name | loop-agent |
| description | Execute workflow agents iteratively for refinement and progressive improvement until quality criteria are met. Use when tasks require repetitive refinement, multi-iteration improvements, progressive optimization, or feedback loops until convergence. |
Execute workflow agents iteratively for refinement and progressive improvement until quality criteria are met.
| Mode | Description | Use When |
|---|---|---|
| Fixed | Run exactly N iterations | Known number of passes needed |
| Criteria | Until success criteria met | Specific quality/performance targets |
| Convergence | Stop at diminishing returns | Optimal result unknown |
| Hybrid | Combine multiple conditions | Complex requirements |
See modes.md for detailed mode documentation and patterns.md for common loop patterns.
