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callcall 效率

Agent Skill

call 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 OpenClaw 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

12,430

周安装

498

GitHub Stars

公开资料未说明

下载量

4,024
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:call(call 效率)
来源仓库:https://github.com/agenticio/call
安装命令:
openclaw skills install call
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install call

简介

管理呼叫流程,包括准备、实时记录与后续跟踪的完整生命周期。

  • 适用于销售跟进、客户回访或内部沟通留痕等通话密集型工作流。
  • 自动捕获语音内容并生成结构化摘要,支持承诺事项追踪提醒。
  • 依赖麦克风与录音权限,需遵守当地隐私法规与用户知情同意原则。
  • 数据存储于本地或指定服务器,建议加密传输并定期清理过期记录。

SKILL.md

name
call
description
Call management system with preparation, real-time capture, and follow-up tracking. Use when user mentions phone calls, meetings, conversations, commitments made, or follow-ups needed. Prepares for calls, captures key points and decisions in real-time, tracks action items and commitments, drafts follow-ups, and builds conversation history. All data stored locally.

Call

Call management system. Every conversation, fully leveraged.

Critical Privacy & Safety

Data Storage (CRITICAL)

  • All call data stored locally only: memory/calls/
  • No call recording (unless user explicitly enables separately)
  • No external CRM connected
  • No sharing of conversation data
  • User controls all data retention and deletion

Privacy Note

Call records contain sensitive information. All data stays local and private. You control what is captured and retained.

Data Structure

Call data stored locally:

  • memory/calls/calls.json - Complete call records
  • memory/calls/contacts.json - Contact history and context
  • memory/calls/commitments.json - Commitments made/received
  • memory/calls/followups.json - Pending follow-ups
  • memory/calls/templates.json - Follow-up message templates

Core Workflows

Prepare for Call

User: "I have a call with Acme Corp in 30 minutes"
→ Use scripts/prep_call.py --contact "Acme Corp" --purpose "negotiate contract"
→ Pull previous calls, open commitments, relevant context

Capture During Call

User: "Note: They need the proposal by Friday, Sarah is decision maker, follow up on pricing"
→ Use scripts/capture_fragments.py --call-id "CALL-123" --fragments "proposal by Friday, Sarah decision maker, follow up pricing"
→ Build structured notes in real-time

End Call & Generate Summary

User: "Call is done"
→ Use scripts/end_call.py --call-id "CALL-123"
→ Generate summary: decisions, action items, commitments

Track Follow-ups

User: "What follow-ups do I owe?"
→ Use scripts/check_followups.py
→ Show all pending commitments with deadlines

Draft Follow-up Message

User: "Draft follow-up to Sarah"
→ Use scripts/draft_followup.py --contact "Sarah" --call-id "CALL-123"
→ Generate personalized follow-up email with specific references

Module Reference

Scripts Reference

ScriptPurpose
prep_call.pyPrepare for upcoming call
capture_fragments.pyCapture notes during call
end_call.pyEnd call and generate summary
check_followups.pyCheck pending follow-ups
draft_followup.pyDraft follow-up message
log_call.pyLog completed call
contact_history.pyView contact conversation history
commitment_status.pyCheck commitment status

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

71.55%
按下载量换算2,879

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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