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Claw Chat
作者
Wenbing Ji
· GitHub ↗
· v1.0.1
· MIT-0
250
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install claw-chat
功能描述
Claw Chat AI messaging assistant. Use when the user wants to enhance conversations in Claw Chat, manage message threads, draft smart replies, summarize chat...
使用说明 (SKILL.md)
Claw Chat Skill
Claw Chat is an AI-native messaging platform where every conversation is enhanced by intelligent assistance. This skill helps you communicate more effectively, stay on top of important threads, and never miss what matters.
Capabilities
- Smart replies: Draft context-aware responses for any message
- Thread summaries: Catch up on long conversations instantly
- Message drafting: Write clear, professional, or casual messages in your voice
- Priority filtering: Identify which messages need your attention now
- Follow-up tracking: Never let important replies fall through the cracks
- Tone adjustment: Shift message tone from casual to formal (or vice versa)
Common Tasks
- "Summarize this conversation thread"
- "Draft a reply to this message"
- "Make this message sound more professional"
- "What are the action items from this chat?"
- "Remind me to follow up on this conversation tomorrow"
Smart Reply Framework
Acknowledge → Answer → Action
Example incoming: "Hey, can we push the Monday meeting to Wednesday?"
Smart reply options:
Casual: "Wednesday works for me! Morning or afternoon?"
Formal: "Wednesday works. Could you confirm a specific time?"
Detailed: "Wednesday works. I'm available 10am-12pm or after 3pm —
which slot works better for you?"
Message Tone Guide
Too casual → More professional:
"yeah sure" → "Sounds good, I'll take care of it."
"idk" → "I'm not certain — let me look into it and get back to you."
Too formal → More human:
"I acknowledge receipt of your inquiry" → "Got it, thanks!"
"Please be advised that" → "Just so you know,"
Assertive without aggressive:
Add: "I think", "In my view", "From my perspective"
Soften: "Would it be possible to..." instead of "You need to..."
Conversation Summary Template
📋 Thread: [Topic]
👥 Participants: [Names]
📅 Date range: [From - To]
🔑 Key points:
• [Main discussion point 1]
• [Main discussion point 2]
✅ Decisions made:
• [Decision 1]
📌 Action items:
• [Person] → [Task] by [deadline]
❓ Open questions:
• [Unresolved item]
Follow-up System
Trigger phrases to watch for:
"I'll get back to you on..."
"Let me check and..."
"We should discuss..."
"Circle back next week"
Auto-create follow-up when:
→ You send a message with a question and get no reply in 48h
→ You agree to do something ("I'll send it by Friday")
→ Someone promises a deliverable
Tips
- Use @mentions to ensure the right person sees your message
- Keep threads focused — one topic per thread reduces confusion
- Use reactions to acknowledge messages without adding noise
- Set message reminders for anything you need to act on later
- Claw Chat's AI can auto-tag messages by project, priority, or topic
安全使用建议
This skill reads like a behavior policy for a Claw Chat assistant but gives no implementation details or required credentials. Before installing or enabling autonomous use:
- Ask the publisher (or registry) for the integration design: how does the skill access Claw Chat messages and send replies? Where are tokens stored and which scopes are needed?
- Do not grant it the ability to send messages or act autonomously until you confirm exact endpoints and permissions. Prefer explicit user confirmation for any outbound messages.
- If this will operate on real messages, require documented OAuth/API credentials (with least privilege) or an explicit platform integration, and test in a sandbox account first.
- If you only want drafting/summarization guidance, restrict the skill to suggest replies (read-only) and disable autonomous invocation.
- Because the source/homepage are missing, treat the skill as unverified — verify author identity and review any future code/manifest updates before trusting it with sensitive chats.
功能分析
Type: OpenClaw Skill
Name: claw-chat
Version: 1.0.1
The skill bundle consists entirely of metadata and instructional documentation (SKILL.md) for an AI chat assistant. It contains no executable code, scripts, or malicious instructions, focusing instead on providing templates and guidelines for message drafting, summarization, and tone adjustment.
能力评估
Purpose & Capability
Name/description promise an active messaging assistant that manages threads and can auto-create follow-ups or send replies. But the skill declares no credentials, no API endpoints, and no integration mechanism — managing messages typically requires explicit access tokens or a platform integration.
Instruction Scope
SKILL.md contains operational rules (watch for trigger phrases, auto-create follow-ups after 48h, 'auto-tag' messages) that imply background monitoring and taking actions. The instructions do not specify how the agent obtains messages, where it posts replies, what permissions are required, or any safeguards/consent checks — this gives the agent broad, vague discretion and could lead to unintended automated actions.
Install Mechanism
There is no install spec and no code files (instruction-only). That reduces surface risk because nothing is written or executed by default.
Credentials
The skill requests no environment variables or credentials despite describing capabilities that normally require API keys or service tokens. This is a mismatch: either the skill relies on external platform integrations (not documented), or it assumes the agent already has access — both should be made explicit.
Persistence & Privilege
always is false and the skill is not force-installed. However, the behavior described (monitoring for triggers, creating follow-ups after timeouts) implies persistent/background capabilities. The skill does not document how persistence would be achieved, nor any scope/limits, which is a potential operational concern.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install claw-chat - 安装完成后,直接呼叫该 Skill 的名称或使用
/claw-chat触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
更新为完整版本
v1.0.0
初始发布
元数据
常见问题
Claw Chat 是什么?
Claw Chat AI messaging assistant. Use when the user wants to enhance conversations in Claw Chat, manage message threads, draft smart replies, summarize chat... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 250 次。
如何安装 Claw Chat?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install claw-chat」即可一键安装,无需额外配置。
Claw Chat 是免费的吗?
是的,Claw Chat 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Claw Chat 支持哪些平台?
Claw Chat 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Claw Chat?
由 Wenbing Ji(@jiwenbing)开发并维护,当前版本 v1.0.1。
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