OpenClaw

openclaw-continuous-learning

Instinct-based learning system for OpenClaw. Analyzes sessions, detects patterns, creates atomic learnings with confidence scoring, and suggests optimizations for self-evolution. Use when: you want your AI agent to learn from its own behavior, improve over time, discover optimization opportunities, or build a self-improving automation system. Don't use when: static agent behavior is preferred.

adelpro0 来源安装数☆ 0 仓库 Starsv1.1.0

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install adelpro/openclaw-continuous-learning

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Continuous Learning for AI Agents

An instinct-based learning system that helps AI agents improve themselves through observation and pattern detection.

What This Skill Does

Analyzes session history - Reviews agent interactions and outputs
Detects patterns - Identifies recurring behaviors, preferences, workflows
Creates instincts - Atomic learnings with confidence scores
Suggests optimizations - Based on observed behavior patterns
Enables self-evolution - Converts insights into improvements

When to Use

Use when:

Building self-improving AI agents
Want agent to learn from interactions
Discovering optimization opportunities
Creating adaptive automation
Tracking behavioral patterns

Skip when:

Static, unchanging behavior preferred
No session history available
Simple, deterministic workflows only

Architecture

Session Activity
 │
 ▼
┌─────────────────────────────────────────┐
│ Session Analysis                         │
│ • Read interaction logs                  │
│ • Detect patterns                       │
│ • Create instincts                       │
└─────────────────────────────────────────┘
 │
 ▼
┌─────────────────────────────────────────┐
│ Instinct Storage                         │
│ • instincts.jsonl (atomic learnings)     │
│ • patterns.json (aggregated)             │
│ • optimizations.json (suggestions)       │
└─────────────────────────────────────────┘
 │
 ▼
┌─────────────────────────────────────────┐
│ Optimization Delivery                    │
│ • Daily tips                            │
│ • Configuration suggestions             │
│ • Workflow improvements                 │
└─────────────────────────────────────────┘

Confidence Scoring

Score	Meaning	Behavior
0.3	Tentative	Suggested but not enforced
0.5	Moderate	Applied when relevant
0.7	Strong	Auto-approved
0.9	Core behavior	Always apply

**Confidence increas...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/adelpro/openclaw-continuous-learning
Version: 1.1.0
Commit: ccad973b8df06cd05615b83fd8b6ffc1b1198488
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Continuous Learning for AI Agents

An instinct-based learning system that helps AI agents improve themselves through observation and pattern detection.

## What This Skill Does

- **Analyzes session history** - Reviews agent interactions and outputs
- **Detects patterns** - Identifies recurring behaviors, preferences, workflows
- **Creates instincts** - Atomic learnings with confidence scores
- **Suggests optimizations** - Based on observed behavior patterns
- **Enables self-evolution** - Converts insights into improvements

## When to Use

**Use when:**
- Building self-improving AI agents
- Want agent to learn from interactions
- Discovering optimization opportunities
- Creating adaptive automation
- Tracking behavioral patterns

**Skip when:**
- Static, unchanging behavior preferred
- No session history available
- Simple, deterministic workflows only

## Architecture

```
Session Activity
 │
 ▼
┌─────────────────────────────────────────┐
│ Session Analysis                         │
│ • Read interaction logs                  │
│ • Detect patterns                       │
│ • Create instincts                       │
└─────────────────────────────────────────┘
 │
 ▼
┌─────────────────────────────────────────┐
│ Instinct Storage                         │
│ • instincts.jsonl (atomic learnings)     │
│ • patterns.json (aggregated)             │
│ • optimizations.json (suggestions)       │
└─────────────────────────────────────────┘
 │
 ▼
┌─────────────────────────────────────────┐
│ Optimization Delivery                    │
│ • Daily tips                            │
│ • Configuration suggestions             │
│ • Workflow improvements                 │
└─────────────────────────────────────────┘
```

## Confidence Scoring

| Score | Meaning | Behavior |
|-------|---------|----------|
| 0.3 | Tentative | Suggested but not enforced |
| 0.5 | Moderate | Applied when relevant |
| 0.7 | Strong | Auto-approved |
| 0.9 | Core behavior | Always apply |

**Confidence increas...

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