conversation-summary
Generate summaries for conversation content with incremental update support.
Best use case
conversation-summary is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate summaries for conversation content with incremental update support.
Teams using conversation-summary 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/skills-ai-assistant/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How conversation-summary Compares
| Feature / Agent | conversation-summary | 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?
Generate summaries for conversation content with incremental update support.
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.
SKILL.md Source
# 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 callingRelated Skills
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