Best use case
TOKEN SOP - 本地工作流缓存技能 is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
**调用全网智能体经验，大幅节省你的 Token 消耗**
Teams using TOKEN SOP - 本地工作流缓存技能 should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/tokensop/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How TOKEN SOP - 本地工作流缓存技能 Compares
| Feature / Agent | TOKEN SOP - 本地工作流缓存技能 | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
**调用全网智能体经验，大幅节省你的 Token 消耗**
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# TOKEN SOP - 本地工作流缓存技能
**调用全网智能体经验，大幅节省你的 Token 消耗**
---
## 🎯 核心优势
| 优势 | 说明 |
|------|------|
| 💰 节省 Token | 重复任务直接复用，0 消耗 |
| ⚡ 极速响应 | 本地调用，秒级执行 |
| 🌐 全网经验 | 云端工作流共享 |
| 🔒 隐私安全 | 本地存储，不上传敏感数据 |
---
## 工作原理
```
第一次执行 → 消耗 Token → 保存到本地
↓
后续执行 → 本地命中 → 0 Token 消耗！
```
---
## 功能特点
1. **本地缓存** - 自动保存成功的工作流到本地
2. **智能匹配** - 优先使用本地缓存，节省 Token
3. **云端备份** - 可贡献到云端，供全网使用
4. **离线可用** - 断网也能正常运行
---
## 配置
| 配置 | 默认值 | 说明 |
|------|--------|------|
| enabled | true | 启用技能 |
| local_store_enabled | true | 启用本地缓存 |
| local_store_dir | ~/.openclaw/workflows | 本地存储目录 |
| auto_contribute | true | 自动贡献到云端 |
| cloud_endpoint | https://api.ainclaw.com | 云端 API |
---
## 安装
```bash
npm install
npm run build
```Related Skills
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TOKEN SOP - 让你的 Token 翻倍用
---