Continuous Learning

CommunityPopular

xu-xiang

continuous-learning

自动从 Claude Code 会话（Session）中提取可重用的模式（Pattern），并将其作为已学习的技能（Skill）保存以备将来使用。

Overview

Publisher	xu-xiang
Repository	`everything-claude-code-zh`
Skill name	`continuous-learning`
Stars	1.9K
Forks	318
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by xu-xiang on GitHub. Read the source before you install it.

Installation

Install the Continuous Learning AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/xu-xiang/everything-claude-code-zh/tree/main/docs/ja-JP/skills/continuous-learning

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zh.git /tmp/everything-claude-code-zh
mkdir -p .claude/skills
cp -r /tmp/everything-claude-code-zh/docs/ja-JP/skills/continuous-learning .claude/skills/continuous-learning

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Continuous Learning in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Continuous Learning on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Continuous Learning is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

持续学习技能（Continuous Learning Skill）

Claude Code 会话结束时自动进行评估，提取可作为已学习技能保存的可重用模式（Pattern）。

工作原理（How it Works）

此技能在每个会话结束时作为 Stop 钩子（Hook） 执行：

会话评估：检查会话是否有足够的消息（默认：10 条以上）
模式检测：识别可从会话中提取的模式
技能提取：将有用的模式保存到 ~/.claude/skills/learned/

配置（Configuration）

通过编辑 config.json 进行自定义：

json
{
  "min_session_length": 10,
  "extraction_threshold": "medium",
  "auto_approve": false,
  "learned_skills_path": "~/.claude/skills/learned/",
  "patterns_to_detect": [
    "error_resolution",
    "user_corrections",
    "workarounds",
    "debugging_techniques",
    "project_specific"
  ],
  "ignore_patterns": [
    "simple_typos",
    "one_time_fixes",
    "external_api_issues"
  ]
}

模式类型（Pattern Types）

模式	描述
`error_resolution`	特定错误的解决方法
`user_corrections`	来自用户修正的模式
`workarounds`	针对框架/库特性的解决方案
`debugging_techniques`	有效的调试方法（Debugging Approaches）
`project_specific`	项目特定的约定

钩子配置（Hook Configuration）

添加到 ~/.claude/settings.json：

json
{
  "hooks": {
    "Stop": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "~/.claude/skills/continuous-learning/evaluate-session.sh"
      }]
    }]
  }
}

为什么使用 Stop 钩子

轻量：仅在会话（Session）结束时执行一次
非阻塞：不会给每条消息增加延迟（Latency）
完整上下文：可以访问整个会话的转录内容

对比笔记（调查：2025年1月）

vs Homunculus

Homunculus v2 采用了更精细的方法：

功能	当前方法	Homunculus v2
观察	Stop 钩子 (会话结束时)	PreToolUse/PostToolUse 钩子 (100% 可靠性)
分析	主上下文 (Main Context)	后台智能体 (Background Agent, Haiku)
粒度	完整的技能	原子级的“本能 (Instinct)”
置信度	无	0.3-0.9 的权重分配
演进	直接转换为技能	本能 → 集群 → 技能/命令/智能体
共享	无	本能的导出/导入

homunculus 的重要洞察：

"v1 依赖技能进行观察。技能是概率性的，触发率约为 50-80%。v2 使用钩子（100% 可靠性）进行观察，并使用本能作为学习行为的原子单位。"

v2 的潜在改进

基于本能的学习 - 具有置信度评分的更小、原子级的行为
后台观察者 - 并行分析的 Haiku 智能体
置信度衰减 - 在发生冲突时降低本能的置信度
领域标签 - 代码风格、测试、git、调试等
演进路径 - 将相关的本能聚类为技能/命令/智能体

详细信息：请参阅 /Users/affoon/Documents/tasks/12-continuous-learning-v2.md。

Frequently asked questions

What does the Continuous Learning AI skill do?

自动从 Claude Code 会话（Session）中提取可重用的模式（Pattern），并将其作为已学习的技能（Skill）保存以备将来使用。

Why use Continuous Learning on TypingMind?

Because you install it once and use it with any model. Continuous Learning is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Continuous Learning in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xu-xiang/everything-claude-code-zh/tree/main/docs/ja-JP/skills/continuous-learning. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Continuous Learning?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Continuous Learning?

As many as you like. As long as a model supports skills, you can use Continuous Learning with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Continuous Learning AI skill free?

Yes. It is published on GitHub by xu-xiang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Continuous Learning

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

持续学习技能（Continuous Learning Skill）

工作原理（How it Works）

配置（Configuration）

模式类型（Pattern Types）

钩子配置（Hook Configuration）

为什么使用 Stop 钩子

相关项目

对比笔记（调查：2025年1月）

vs Homunculus

v2 的潜在改进

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

持续学习技能（Continuous Learning Skill）

工作原理（How it Works）

配置（Configuration）

模式类型（Pattern Types）

钩子配置（Hook Configuration）

为什么使用 Stop 钩子

相关项目

对比笔记（调查：2025年1月）

vs Homunculus

v2 的潜在改进

Frequently asked questions

Related AI Skills

Set up your own AI workspace now