Xpersona
S

Self Improving Agent

CLAWHUB · Unverified

Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies. Skill: Self Improving Agent Owner: xiucheng Summary: Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies. Tags: latest:1.0.0 Version history: v1.0.0 | 2026-03-06T23:43:46.935Z | auto Self-Improving Agent skill v1.0.0 initial release - Introduces a self-improving agent system that analyzes conversation quality and optimize

62
Rank
84
Safety
50k
Downloads

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 50.3K downloads reported by the source. Last updated 11/11/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Install and run

Setup complexity: low.

clawhub skill install s17813mtx983f17esp20f1yk71884qb8:xiucheng-self-improving-agent
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-xiucheng-xiucheng-self-improving-agent-ng-agent-2/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

5,208 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: self-improving-agent
description: Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.
version: "1.0.0"
author: xiucheng
type: skill
tags: [self-improvement, learning, optimization, reflection, growth]
homepage: https://github.com/xiucheng/self-improving-agent
license: MIT
---

# Self-Improving Agent

An intelligent self-improvement system for OpenClaw agents that analyzes conversation quality and continuously optimizes performance.

## Features

- 📊 **Quality Analysis**: Evaluates conversation effectiveness
- 🎯 **Improvement Tracking**: Identifies areas for enhancement
- 📝 **Learning Log**: Records insights and lessons learned
- 📈 **Weekly Reports**: Generates improvement summaries
- 🔄 **Strategy Optimization**: Adapts response patterns over time

## Installation

```bash
clawhub install self-improving-agent
```

## Usage

### Automatic Analysis
The skill automatically analyzes conversations after each session.

### Manual Improvement Logging
```python
from self_improving import SelfImprovingAgent

sia = SelfImprovingAgent()
sia.log_improvement("Need to be more concise in technical explanations")
```

### Generate Weekly Report
```python
report = sia.generate_weekly_report()
print(report)
```

## Configuration

| Setting | Default | Description |
|---------|---------|-------------|
| improvement_log | ./improvement_log.md | Learning log file |
| soul_file | ./SOUL.md | Personality anchor file |
| auto_analyze | true | Auto-analyze conversations |

## Integration

Works best with:
- `memory-manager`: For tracking improvement history
- Custom agent personalities (SOUL.md)

## License

MIT License - Help agents get better every day!

_meta.json

{
  "ownerId": "kn7c2cjr3n1gggfqy000zq5g898285x4",
  "slug": "xiucheng-self-improving-agent",
  "version": "1.0.0",
  "publishedAt": 1772840626935
}

skill-card.md

## Description:

Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.

This skill is ready for commercial/non-commercial use.

## Publisher:

[xiucheng](https://clawhub.ai/user/xiucheng)

### License/Terms of Use:

MIT

## Use Case:

Developers and agent operators use this skill to track conversation quality, record improvement insights, generate weekly progress reports, and suggest response-strategy updates for OpenClaw agents.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Conversation-quality logs and improvement insights may persist private prompts, customer data, credentials, or other sensitive content in the local workspace.

Mitigation: Do not log secrets or sensitive conversation content, and review where the OpenClaw workspace stores improvement_log.md before use.

Risk: Automatic-analysis behavior may be unclear to users and operators.

Mitigation: Confirm when analysis runs, what content is analyzed, and whether automatic analysis is enabled before using the skill in shared or sensitive environments.

## Reference(s):

- [Project homepage](https://github.com/xiucheng/self-improving-agent)
- [ClawHub skill page](https://clawhub.ai/xiucheng/skills/xiucheng-self-improving-agent)

## Skill Output:

**Output Type(s):** [Analysis, Text, Markdown, JSON, Guidance, Files]

**Output Format:** [Text, Markdown reports, JSON-like analysis and statistics, and local Markdown log entries]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May append improvement insights to improvement_log.md in the configured OpenClaw workspace.]

## Skill Version(s):

1.0.0 (source: frontmatter, skill.yaml, release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

skill.yaml

name: self-improving-agent
description: Self-improving agent system for continuous optimization
version: "1.0.0"
author: xiucheng
type: skill
tags:
  - self-improvement
  - learning
  - optimization
license: MIT

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