wiki-ingest: 4 Agent Use Cases (autonomous PM, content factory, product factory, knowledge base RAG) - 2026-04-15 evening batch

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---
title: "Self-Improving Skill"
type: concept
tags: [openclaw, self-improvement, memory, agent, learning]
last_updated: 2026-04-15
---
## Definition
OpenClaw 自改进技能,通过结构化经验记录系统让 Agent 在错误中学习、持续进化,避免同一错误重复出现。
## Core Mechanism
- 工具self_improvement_log写入 LEARNINGS.md 或 ERRORS.md
- 固定格式Summary + Details + Suggested Action + MetadataPattern-Key/Recurrence-Count/See Also
- 记录类型correction错误修正/ workflow流程改进/ config配置发现/ best_practice最佳实践
## Key Insight
- 错误只犯一次Pattern-Key 相同的问题第二次出现时应直接应用 Suggested Action
- Recurrence-Count 是核心指标:重复次数高的 Pattern-Key 需要系统性解决,而非单点修复
- Pattern-Key 重复本身是信号:第一次记了,第二次就该解决了
## LEARNINGS.md 格式示例
```markdown
## [LRN-20260325-001] correction
**Logged**: 2026-03-25T14:09:53+08:00
**Priority**: high
**Status**: pending
**Area**: config
### Summary
Telegram chat ID 在 cron job 配置中不应使用 "user:" 前缀
### Details
使用了 `--to user:5038825565` 格式,导致报错
### Suggested Action
使用纯数字 chat ID`--to 5038825565`
### Metadata
- Pattern-Key: cron.telegram-delivery
- Recurrence-Count: 1
```
## Connections
- [[双层记忆架构]] ← 包含 ← [[Self-Improving Skill]]
- [[Pattern-Key]] ← 核心机制 ← [[Self-Improving Skill]]
- [[每日复盘]] ← 触发 ← [[Self-Improving Skill]]