OpenClaw

conversation-summary

Generate summaries for conversation content with incremental update support.

dadaliu01210 来源安装数☆ 0 仓库 Starsv1.0.0

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install dadaliu0121/skills-ai-assistant

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Conversation Summary - Agent Instructions

Use this skill to generate summaries for conversation content.

Usage

When the user requests any of the following:

"Summarize this conversation"
"Generate a summary"
"What did we talk about"

Use the summarize_conversation tool to call the summary API.

How to Call

python3 scripts/conversation_summary.py '<chat_list_json>' '<history_summary>'

Parameters

Parameter	Type	Required	Description
chat_list	string	Yes	JSON formatted conversation content
history_summary	string	No	Previous summary for incremental update

chat_list Format Example

[
  {"role": "user", "content": "How is the weather today?"},
  {"role": "assistant", "content": "It is sunny, 25 degrees."}
]

Response

The script returns JSON with:

status: "completed" or "error"
summary: Generated conversation summary
error: Error message if failed

Error Handling

If the API returns a non-zero code, report the error message to the user
If the request fails, check network connectivity
Ensure chat_list is valid JSON format before calling

来源信息

Source: github
Repository: openclaw/skills
Path: skills/dadaliu0121/skills-ai-assistant
Version: 1.0.0
Commit: 8733b25bbf69a611320660fa8076b844c1532ac3
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Conversation Summary - Agent Instructions

Use this skill to generate summaries for conversation content.

## Usage

When the user requests any of the following:
- "Summarize this conversation"
- "Generate a summary"
- "What did we talk about"

Use the `summarize_conversation` tool to call the summary API.

## How to Call

```bash
python3 scripts/conversation_summary.py '<chat_list_json>' '<history_summary>'
```

### Parameters

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| chat_list | string | Yes | JSON formatted conversation content |
| history_summary | string | No | Previous summary for incremental update |

### chat_list Format Example

```json
[
  {"role": "user", "content": "How is the weather today?"},
  {"role": "assistant", "content": "It is sunny, 25 degrees."}
]
```

## Response

The script returns JSON with:
- `status`: "completed" or "error"
- `summary`: Generated conversation summary
- `error`: Error message if failed

## Error Handling

- If the API returns a non-zero code, report the error message to the user
- If the request fails, check network connectivity
- Ensure chat_list is valid JSON format before calling

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