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wacli-pro瓦克利专业版

Agent Skill

wacli-pro 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

3,170

周安装

127

GitHub Stars

1

下载量

1,026
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:wacli-pro(瓦克利专业版)
来源仓库:https://github.com/prantikmedhi/wacli-pro
安装命令:
openclaw skills install wacli-pro
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 wacli-pro

简介

wacli-pro 通过 CLI 工具实现专业的 WhatsApp 消息传递功能。

  • 适用于需要通过个人 WhatsApp 账户主动发送消息或进行联系人搜索的场景。
  • 支持消息格式化、联系人查找与发送,提升沟通效率与自动化水平。
  • 使用前请确认权限范围、维护状态,注意可能涉及联网与消息发送操作。
  • wacli-pro 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
wacli-pro
description
Professional WhatsApp messaging via the wacli CLI. Use when the user wants the agent to message another person from their personal WhatsApp account, search chat history before replying, draft more human-sounding messages, manage follow-ups, or send files with concise professional tone instead of robotic AI phrasing.

Wacli Pro

Send WhatsApp messages through wacli in a way that feels intentional, human, and context-aware.

Quick workflow

  1. Confirm the recipient, goal, and message constraints.
  2. If context matters, inspect recent chat history before drafting.
  3. Draft a message that sounds like the user, not like an assistant.
  4. Confirm the final text before sending.
  5. Send with wacli and report exactly what was sent.

Command set

Use these commands directly:

wacli doctor
wacli auth
wacli sync --follow
wacli chats list --limit 20 --query "name or number"
wacli messages search "query" --limit 20 --chat <jid>
wacli history backfill --chat <jid> --requests 2 --count 50
wacli send text --to "+14155551212" --message "Hello! Running 10 minutes late."
wacli send file --to "+14155551212" --file /path/file.pdf --caption "Here it is"

Use --json when parsing output.

Drafting rules

Write like a competent human using their own WhatsApp, not like support automation.

  • Prefer short natural sentences.
  • Match the relationship and context, for example friend, colleague, family, vendor, recruiter.
  • Keep openings simple: Hey, Hi, the person's name, or no greeting when the thread already has context.
  • Use specific details instead of generic filler.
  • Make requests clear and easy to answer.
  • Keep warmth subtle. One emoji is fine when it genuinely fits. Zero is usually better for work messages.
  • Never mention being an AI unless the user explicitly wants that.
  • Never send templated phrasing like I hope this message finds you well unless the user asks for formal style.

Avoid these failure modes:

  • Over-explaining
  • Corporate boilerplate
  • Long bullet-heavy messages in casual chats
  • Fake enthusiasm
  • Obvious AI phrases like Certainly, Kindly note, As discussed, Please do the needful

Tone calibration

Choose the lightest tone that still achieves the goal.

Casual

Use for friends, family, and familiar contacts.

Pattern:

  • short opener
  • one clear point
  • optional quick follow-up question

Example:

Hey, are you free for a quick call tomorrow evening? Need your help with one thing.

Professional and warm

Use for coworkers, clients, recruiters, and semi-formal contacts.

Pattern:

  • direct context
  • clear request or update
  • polite close only if needed

Example:

Hi Ananya, sharing the updated deck here. If it works for you, please review slides 7 to 11 when you get a chance.

Firm and concise

Use for nudges, payment follow-ups, scheduling, and boundary-setting.

Pattern:

  • reference prior context
  • state the ask plainly
  • include the next step or deadline

Example:

Hi, following up on the invoice from 12 April. Please let me know if you need anything from my side, otherwise I’d appreciate the payment this week.

Context-first messaging

Before drafting a reply in an existing conversation, search or backfill first when any of these are true:

  • the user says reply, follow up, answer them, or continue the chat
  • the relationship or prior promise matters
  • dates, prices, attachments, or commitments may already exist in the thread
  • the user asks you to sound natural or like them

Suggested sequence:

  1. wacli chats list --query "name or number" --json
  2. wacli messages search "recent keyword" --chat <jid> --limit 20 --json
  3. wacli history backfill --chat <jid> --requests 2 --count 50
  4. Draft from the actual context, not assumptions.

Confirmation policy

Require explicit confirmation before sending.

Confirm these items in one compact line when possible:

  • recipient
  • final message text
  • attachment, if any

If the user already provided exact recipient and exact text and clearly asked to send it now, send it without a second stylistic review, but still restate what was sent afterward.

Safety and privacy

  • Do not use wacli for the user’s direct chat with OpenClaw.
  • Do not guess recipients.
  • If multiple matching chats exist, ask which one.
  • If the requested message could be sensitive, high-impact, or relationship-damaging, offer a draft first.
  • Keep personal data exposure to the minimum needed for the send.

Troubleshooting

Run wacli doctor first.

If authenticated but not connected:

  • run wacli sync --follow
  • verify the phone is online
  • retry search or send after connection is restored

If chat lookup is weak:

  • search by number instead of name
  • run backfill for that chat
  • use narrower keywords and date windows

References

Read these only when needed:

  • references/message-patterns.md for reusable message shapes and examples
  • references/history-workflow.md for context gathering before replying

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

70.19%
按下载量换算720

安全审计

VirusTotal

可疑

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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