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Agent Skill · 研究检索

max-self-improvement(最大程度的自我提升)

max-self-improvement 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

max-self-improvement 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 36,940。

总安装 1,835周安装 78GitHub Stars 公开资料未说明下载 643核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:max-self-improvement(最大程度的自我提升)
来源仓库:https://github.com/ruiyongwang/max-self-improvement
安装命令:
openclaw skills install max-self-improvement
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install max-self-improvement

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

MiniMax Agent自我进化系统,具有5层内存,用于持续学习、错误分析和持久的个性化上下文管理。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install max-self-improvement;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

max-self-improvement 怎么安装?

在终端执行 openclaw skills install max-self-improvement。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

max-self-improvement 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

max-self-improvement 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

max-self-improvement 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

max-self-improvement 用的人多吗?

公开数据是累计安装 1,835 次,近一周安装 78 次,下载 643 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

max-self-improvement 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
max-self-improvement

最大程度的自我提升 · 本页

1,835—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
max-self-improvement
description
MiniMax Agent self-evolution system with 5-layer memory architecture and continuous learning. Triggers: "remember this preference", "continue from last time", "improve your response", "analyze failure", "do you remember", "self-evolve", "record this lesson", build personal memory system.

Max-Self-Improvement — Self-Evolution & Memory System

Overview

MiniMax Agent's self-evolution framework integrating 5-layer memory architecture, supporting cross-session persistent context and continuous performance optimization.


Core Components

1. Five-Layer Memory Architecture

LayerNameStorageFunction
L1Sensory MemoryContext WindowImmediate input/output stream
L2Working Memory/memories/session_notes.mdCurrent task state
L3Long-Term Memory/memories/*.mdUser preferences, domain knowledge
L4Episodic Memory/memories/evolution/Patterns, lessons, cases
L5Metacognitive/memories/evolution/metrics.mdPerformance tracking

2. Learnings System

Records structured learnings from errors, corrections, and successes.

.learnings/
├── LEARNINGS.md         # Learning entries
├── ERRORS.md            # Error logs
└── FEATURE_REQUESTS.md  # Feature requests

Entry ID Format

TYPE-YYYYMMDD-XXX
├── TYPE: LRN | ERR | FEAT
├── YYYYMMDD: Current date
└── XXX: Sequence number or random 3 chars

Trigger Scenarios

Learning Triggers → LEARNINGS.md

SituationCategory
Command/operation failserror
User corrects youcorrection
Discovered better approachbest_practice
Found outdated knowledgeknowledge_gap
User provides unknown infoknowledge_gap

Error Triggers → ERRORS.md

SituationAction
Non-zero exit codeLog to ERRORS.md
Exception/stack traceLog to ERRORS.md
Unexpected outputLog to ERRORS.md
API/tool failureLog to ERRORS.md

Feature Triggers → FEATURE_REQUESTS.md

User SaysAction
"Can you also..."Log to FEATURE_REQUESTS.md
"I wish you could..."Log to FEATURE_REQUESTS.md
"Is there a way to..."Log to FEATURE_REQUESTS.md
"Why can't you..."Log to FEATURE_REQUESTS.md

Correction Detection Patterns

When user says phrases like:

  • "No, that's not right..."
  • "Actually, it should be..."
  • "You're wrong about..."
  • "That's outdated..."

→ Create LRN entry with category: correction


Entry Templates

Learning Entry (LEARNINGS.md)

## [LRN-YYYYMMDD-XXX] category

**Logged**: ISO-8601 timestamp
**Priority**: low | medium | high | critical
**Status**: pending | acknowledged | applied
**Area**: frontend | backend | infra | tests | docs | config

### Summary
One-line description of what was learned

### Details
Full context: what happened, what was wrong, what's correct

### Suggested Action
Specific fix or improvement to make

### Metadata
- Source: conversation | error | user_feedback | discovery
- Related Files: path/to/file.ext
- Tags: tag1, tag2
- See Also: LRN-YYYYMMDD-XXX
- Pattern-Key: simplify.dead_code | harden.input_validation
- Recurrence-Count: 1
- First-Seen: YYYY-MM-DD
- Last-Seen: YYYY-MM-DD

Error Entry (ERRORS.md)

## [ERR-YYYYMMDD-XXX] skill_or_command_name

**Logged**: ISO-8601 timestamp
**Priority**: high
**Status**: pending | investigated | resolved
**Area**: frontend | backend | infra | tests | docs | config

### Summary
Brief description of what failed

### Error
Actual error message or output

### Context
- Command/operation attempted
- Input or parameters used
- Environment details if relevant

### Suggested Fix
If identifiable, what might resolve this

### Metadata
- Reproducible: yes | no | unknown
- Related Files: path/to/file.ext
- See Also: ERR-YYYYMMDD-XXX

Feature Request Entry (FEATURE_REQUESTS.md)

## [FEAT-YYYYMMDD-XXX] capability_name

**Logged**: ISO-8601 timestamp
**Priority**: medium
**Status**: pending | planned | implemented | rejected
**Area**: frontend | backend | infra | tests | docs | config

### Requested Capability
What the user wanted to do

### User Context
Why they needed it, what problem they're solving

### Complexity Estimate
simple | medium | complex

### Suggested Implementation
How this could be built, what it might extend

### Metadata
- Frequency: first_time | recurring
- Related Features: existing_feature_name

Priority Guidelines

PriorityWhen to Use
criticalBlocks core function, data loss risk, security issue
highMajor impact, affects common workflows, recurring issues
mediumModerate impact, workaround exists
lowMinor inconvenience, edge case

Area Labels

AreaScope
frontendUI, components, client code
backendAPI, services, server-side
infraCI/CD, deployment, Docker, cloud
testsTest files, test tools, coverage
docsDocumentation, comments, README
configConfig files, environment, settings

Memory Promotion Targets

Learning TypePromote To
Behavioral patterns/memories/user_preferences.md
Workflow improvements/memories/workflow_library.md
Tool tips/memories/domain_knowledge.md
Project facts/conventions/memories/project/[slug]/context.md

Tool Usage Rules

OperationCorrect ToolWrong Approach
Update specific linestr_replace_memorycreate_memory overwrites
Create new memorycreate_memoryReuse unrelated files
Read large contentview_memory fullMultiple small reads
Record new Episodecreate_memory new fileAppend to session_notes

Conflict Resolution Priority

User Explicit Instruction > Recent Implicit Behavior > High-Confidence LT Memory > Low-Confidence Pattern > Default Reasoning

Common Mistakes to Avoid

  1. session_notes stack appending — Update in-place, keep file lean
  2. Not reading memory before work — Must read session_notes + user_preferences first
  3. Logging everything to memory — Only write reusable content, avoid noise
  4. No confidence tags on memory — Knowledge without confidence is blindly adopted
  5. Not saving before restart — Must write all in-progress state before restart

Quick Reference

User SaysAgent Action
"Remember this preference"Update user_preferences.md
"Continue from last time"Read session_notes + project context
"Improve your response"Analyze recent output, update patterns
"Analyze failure"Root cause → lessons.md + proactive pattern
"Do you remember"Search long-term + episodic memory
"What did you learn"Retrieve patterns.md + lessons.md summary

Related References

  • Detailed architecture: references/architecture.md
  • Memory templates: references/memory_templates.md
  • Evolution cases: references/evolution_cases.md
  • Learning templates: assets/SKILL-TEMPLATE.md

平台分布

OpenClaw

79.81%
按下载量换算513

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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