一键导入
conversation-summary
Generate summaries for conversation content with incremental update support.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Generate summaries for conversation content with incremental update support.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | conversation-summary |
| description | Generate summaries for conversation content with incremental update support. |
| emoji | 📝 |
| author | lyue82665-droid |
| version | 1.0.0 |
| license | MIT |
| requires | {"bins":["python3"],"pip":["requests"]} |
| tools | [{"name":"summarize_conversation","description":"Generate a summary for conversation content.","parameters":{"type":"object","properties":{"chat_list":{"type":"string","description":"JSON formatted conversation list, e.g., [{\"role\":\"user\",\"content\":\"hello\"}]"},"history_summary":{"type":"string","description":"Previous summary for incremental update (optional)"}},"required":["chat_list"]}}] |
Use this skill to generate summaries for conversation content.
When the user requests any of the following:
Use the summarize_conversation tool to call the summary API.
python3 scripts/conversation_summary.py '<chat_list_json>' '<history_summary>'
| Parameter | Type | Required | Description |
|---|---|---|---|
| chat_list | string | Yes | JSON formatted conversation content |
| history_summary | string | No | Previous summary for incremental update |
[
{"role": "user", "content": "How is the weather today?"},
{"role": "assistant", "content": "It is sunny, 25 degrees."}
]
The script returns JSON with:
status: "completed" or "error"summary: Generated conversation summaryerror: Error message if failedTrustSkill v3.1 - Advanced security scanner for OpenClaw skills with 99% false positive reduction. Detects malicious code, hardcoded secrets, vulnerable dependencies, tainted data flows, backdoors, credential theft, privacy file access, command injection, file system risks, network exfiltration, and sensitive data leaks. Features entropy-based secret detection, OSV vulnerability database integration, taint analysis, smart data flow detection, context-aware documentation scanning, and flexible YAML configuration.
Proactive task state management. Use on EVERY task start, progress update, completion, or failure. Tracks what was requested, what's running (background processes, SSH sessions), what's done, and what's next. Survives session resets. Triggers automatically — not user-invoked.
Generate summaries for conversation content. Helps users quickly get a summary of their chat history with support for incremental updates.
This skill enables IP address masking and accessing hidden services on the Anyone Network. Route requests through the Anyone Protocol VPN network using a local SOCKS5 proxy.
Deploy production LangGraph agents on AWS Bedrock AgentCore. Use for (1) multi-agent systems with orchestrator and specialist agent patterns, (2) building stateful agents with persistent cross-session memory, (3) connecting external tools via AgentCore Gateway (MCP, Lambda, APIs), (4) managing shared context across distributed agents, or (5) deploying complex agent ecosystems via CLI with production observability and scaling.
Git-backed issue tracker for AI agents. Use when managing tasks, dependencies, or multi-step work. Triggers on task tracking, issue management, dependency graphs, ready work queues, or mentions of "beads" / "bd" CLI.