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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 installations selon la source☆ 0 Étoiles du dépôtv1.1.0

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install adelpro/openclaw-continuous-learning

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/adelpro/openclaw-continuous-learning
Version
1.1.0
Commit
ccad973b8df06cd05615b83fd8b6ffc1b1198488
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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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