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cs-self-improving-agentcs 自我提升剂

Agent Skill

cs-self-improving-agent 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。

总安装

9,949

周安装

423

GitHub Stars

公开资料未说明

下载量

3,486
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:cs-self-improving-agent(cs 自我提升剂)
来源仓库:https://github.com/alirezarezvani/cs-self-improving-agent
安装命令:
openclaw skills install cs-self-improving-agent
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 cs-self-improving-agent

简介

将 Claude Code 记忆转化为持久项目知识。

  • 自动分析 MEMORY.md 并推广至 CLAUDE.md 规则集。
  • 通过 clawhub 安装,适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 建议确认文件读写权限与版本控制影响。
  • cs-self-improving-agent 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
self-improving-agent
description
Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about your project, (2) graduating a pattern from notes to enforced rules, (3) turning a debugging solution into a skill, (4) checking memory health and capacity.

Self-Improving Agent

Auto-memory captures. This plugin curates.

Claude Code's auto-memory (v2.1.32+) automatically records project patterns, debugging insights, and your preferences in MEMORY.md. This plugin adds the intelligence layer: it analyzes what Claude has learned, promotes proven patterns into project rules, and extracts recurring solutions into reusable skills.

Quick Reference

CommandWhat it does
/si:reviewAnalyze MEMORY.md — find promotion candidates, stale entries, consolidation opportunities
/si:promoteGraduate a pattern from MEMORY.md → CLAUDE.md or .claude/rules/
/si:extractTurn a proven pattern into a standalone skill
/si:statusMemory health dashboard — line counts, topic files, recommendations
/si:rememberExplicitly save important knowledge to auto-memory

How It Fits Together

┌─────────────────────────────────────────────────────────┐
│                  Claude Code Memory Stack                │
├─────────────┬──────────────────┬────────────────────────┤
│  CLAUDE.md  │   Auto Memory    │   Session Memory       │
│  (you write)│   (Claude writes)│   (Claude writes)      │
│  Rules &    │   MEMORY.md      │   Conversation logs    │
│  standards  │   + topic files  │   + continuity         │
│  Full load  │   First 200 lines│   Contextual load      │
├─────────────┴──────────────────┴────────────────────────┤
│              ↑ /si:promote        ↑ /si:review          │
│         Self-Improving Agent (this plugin)               │
│              ↓ /si:extract    ↓ /si:remember            │
├─────────────────────────────────────────────────────────┤
│  .claude/rules/    │    New Skills    │   Error Logs     │
│  (scoped rules)    │    (extracted)   │   (auto-captured)│
└─────────────────────────────────────────────────────────┘

Installation

Claude Code (Plugin)

/plugin marketplace add alirezarezvani/claude-skills
/plugin install self-improving-agent@claude-code-skills

OpenClaw

clawhub install self-improving-agent

Codex CLI

./scripts/codex-install.sh --skill self-improving-agent

Memory Architecture

Where things live

FileWho writesScopeLoaded
./CLAUDE.mdYou (+ /si:promote)Project rulesFull file, every session
~/.claude/CLAUDE.mdYouGlobal preferencesFull file, every session
~/.claude/projects/<path>/memory/MEMORY.mdClaude (auto)Project learningsFirst 200 lines
~/.claude/projects/<path>/memory/*.mdClaude (overflow)Topic-specific notesOn demand
.claude/rules/*.mdYou (+ /si:promote)Scoped rulesWhen matching files open

The promotion lifecycle

1. Claude discovers pattern → auto-memory (MEMORY.md)
2. Pattern recurs 2-3x → /si:review flags it as promotion candidate
3. You approve → /si:promote graduates it to CLAUDE.md or rules/
4. Pattern becomes an enforced rule, not just a note
5. MEMORY.md entry removed → frees space for new learnings

Core Concepts

Auto-memory is capture, not curation

Auto-memory is excellent at recording what Claude learns. But it has no judgment about:

  • Which learnings are temporary vs. permanent
  • Which patterns should become enforced rules
  • When the 200-line limit is wasting space on stale entries
  • Which solutions are good enough to become reusable skills

That's what this plugin does.

Promotion = graduation

When you promote a learning, it moves from Claude's scratchpad (MEMORY.md) to your project's rule system (CLAUDE.md or .claude/rules/). The difference matters:

  • MEMORY.md: "I noticed this project uses pnpm" (background context)
  • CLAUDE.md: "Use pnpm, not npm" (enforced instruction)

Promoted rules have higher priority and load in full (not truncated at 200 lines).

Rules directory for scoped knowledge

Not everything belongs in CLAUDE.md. Use .claude/rules/ for patterns that only apply to specific file types:

# .claude/rules/api-testing.md
---
paths:
  - "src/api/**/*.test.ts"
  - "tests/api/**/*"
---
- Use supertest for API endpoint testing
- Mock external services with msw
- Always test error responses, not just happy paths

This loads only when Claude works with API test files — zero overhead otherwise.

Agents

memory-analyst

Analyzes MEMORY.md and topic files to identify:

  • Entries that recur across sessions (promotion candidates)
  • Stale entries referencing deleted files or old patterns
  • Related entries that should be consolidated
  • Gaps between what MEMORY.md knows and what CLAUDE.md enforces

skill-extractor

Takes a proven pattern and generates a complete skill:

  • SKILL.md with proper frontmatter
  • Reference documentation
  • Examples and edge cases
  • Ready for /plugin install or clawhub publish

Hooks

error-capture (PostToolUse → Bash)

Monitors command output for errors. When detected, appends a structured entry to auto-memory with:

  • The command that failed
  • Error output (truncated)
  • Timestamp and context
  • Suggested category

Token overhead: Zero on success. ~30 tokens only when an error is detected.

Platform Support

PlatformMemory SystemPlugin Works?
Claude CodeAuto-memory (MEMORY.md)✅ Full support
OpenClawworkspace/MEMORY.md✅ Adapted (reads workspace memory)
Codex CLIAGENTS.md✅ Adapted (reads AGENTS.md patterns)
GitHub Copilot.github/copilot-instructions.md⚠️ Manual promotion only

Related

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.8%
按下载量换算3,340

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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