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Strategic Compact

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xu-xiang
strategic-compact

建议在逻辑间隔处进行手动压缩(Manual Compaction),以在整个任务阶段保持上下文(Context),而非随意的自动压缩。

Overview

Publisherxu-xiang
Repositoryeverything-claude-code-zh
Skill namestrategic-compact
Stars
1.9K
Forks
318
Bundled files
Instructions only
LicenseMIT
Links
  • 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 Strategic Compact AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/strategic-compact .claude/skills/strategic-compact
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Strategic Compact 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 Strategic Compact 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 Strategic Compact 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.

策略性压缩(Strategic Compact)技能

建议在工作流的战略点手动执行 /compact 命令,而不是依赖随意的自动压缩。

为什么需要策略性压缩?

自动压缩会在任意点触发:

  • 通常发生在任务中途,导致丢失关键上下文
  • 无法识别任务的逻辑边界
  • 可能会中断复杂的跨步骤操作

在逻辑边界处进行策略性压缩:

  • 探索后、执行前 - 压缩研究上下文,保留实现计划
  • 里程碑完成后 - 为下一阶段开启全新开始
  • 重大上下文切换前 - 在处理不同任务前清理探索上下文

工作原理

suggest-compact.sh 脚本在工具调用前(PreToolUse,针对 Edit/Write)执行:

  1. 追踪工具调用 - 统计会话(Session)内的工具调用次数
  2. 阈值检测 - 达到可配置阈值时给出建议(默认:50 次)
  3. 定期提醒 - 超过阈值后每 25 次调用提醒一次

钩子(Hook)配置

添加到 ~/.claude/settings.json

json
{
  "hooks": {
    "PreToolUse": [{
      "matcher": "tool == \"Edit\" || tool == \"Write\"",
      "hooks": [{
        "type": "command",
        "command": "~/.claude/skills/strategic-compact/suggest-compact.sh"
      }]
    }]
  }
}

配置

环境变量:

  • COMPACT_THRESHOLD - 触发首次建议前的工具调用次数(默认:50)

最佳实践

  1. 计划后压缩 - 计划确定后,进行压缩并全新开始
  2. 调试后压缩 - 在继续前清理错误解决上下文
  3. 实现过程中不压缩 - 为相关变更保留上下文
  4. 阅读建议 - 钩子(Hook)会提示何时压缩,但是否执行由你决定

相关资源

  • The Longform Guide - 令牌(Token)优化章节
  • 内存持久化钩子 - 用于在压缩后仍需保留的状态

Frequently asked questions

What does the Strategic Compact AI skill do?

建议在逻辑间隔处进行手动压缩(Manual Compaction),以在整个任务阶段保持上下文(Context),而非随意的自动压缩。

Why use Strategic Compact on TypingMind?

Because you install it once and use it with any model. Strategic Compact 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 Strategic Compact 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/strategic-compact. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Strategic Compact?

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 Strategic Compact?

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

Is the Strategic Compact 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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