---
name: smart-compact-916ad393d124
description: 智能压缩决策 skill。根据当前 session 上下文类型自动选择压缩策略（BDX量化/代码开发/日常对话/混合），分析后报告预计保留率，等 Boss 确认后再执行。注册为 /smart-compact 命令。
---

# Smart Compact — 智能压缩策略选择

## 功能

分析当前 session 上下文，自动选择压缩策略，避免一刀切压缩。

## 四种策略

| 策略 | 适用场景 | 保留 token |
|------|----------|-----------|
| A — BDX量化 | 回测数据、选股结果、因子分析、策略参数 | ~12k |
| B — 代码开发 | 大量代码块、git 操作、文件路径 | ~10k |
| C — 日常对话 | 普通对话、寒暄、过程性讨论 | ~6k |
| D — 混合session | 同时包含多种类型 | 按比例分配 |

## 执行流程

1. **分析**：读取当前 session 历史，判断策略类型
2. **报告**：发 Telegram 报告策略和预计保留率
3. **确认**：Boss 回复 `确认` 后执行压缩
4. **完成**：报告「压缩前 Xk → 压缩后 Yk，保留率 Z%」

## 核心文件

| 文件 | 作用 |
|------|------|
| `scripts/smart_compact.py` | 分析脚本（dry-run + 策略判断） |

## 命令注册

注册为 `/smart-compact` 命令，触发 `smart_compact.py --dry-run`。

## Dry-run 用法

```bash
python3 ~/.openclaw/workspace/skills/smart-compact/scripts/smart_compact.py --dry-run
```

## 策略详情

### 策略 A — BDX量化
**保留**：策略结论、参数配置、回测结果摘要、未完成任务  
**丢弃**：中间计算过程、重复数据行、调试输出

### 策略 B — 代码开发
**保留**：当前任务目标、已完成的改动摘要、待完成事项、关键报错  
**丢弃**：完整代码块（只保留函数签名）、成功执行的中间命令

### 策略 C — 日常对话
**保留**：用户的核心问题、结论性回答、待跟进事项  
**丢弃**：寒暄、重复确认、过程性讨论

### 策略 D — 混合session
**保留**：按各类型比例分配预算，优先保留最近 30% 内容


---
Source attribution: Ghenghis
Original project: https://github.com/Ghenghis/openclaw-claude-code-integration/blob/c96bed8f902f77d8ef75632000539fb17789a25a/skills/smart-compact/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 ybbms

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: Ghenghis
Original project: https://github.com/Ghenghis/openclaw-claude-code-integration/blob/c96bed8f902f77d8ef75632000539fb17789a25a/skills/smart-compact/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering
Roles: Backend Developer, Data Analyst, ML / AI Engineer
Specialties: API
Tools: Telegram
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: ea6d26c3d8fee1feeef7a26d7640a4286720a33f92248ec361ee5b39e61f685c