Token导航 LogoToken导航

Agent Skill · 效率

personal-crm-warm-up(personal CRM warm UP 效率)

personal-crm-warm-up 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

personal-crm-warm-up 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 17,333。

总安装 2,634周安装 112GitHub Stars 1下载 923核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:personal-crm-warm-up(personal CRM warm UP 效率)
来源仓库:https://github.com/liverock/personal-crm-warm-up
安装命令:
openclaw skills install personal-crm-warm-up
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 personal-crm-warm-up

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

personal-crm-warm-up 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。适用于识别未联系联系人并建议重新联系方式的效率提升场景。

通过 openclaw skills install personal-crm-warm-up 安装,需结合原始 README 确认具体用法。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。

可参考来源仓库 https://github.com/liverock/personal-crm-warm-up 获取更多细节。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install personal-crm-warm-up;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

personal-crm-warm-up 怎么安装?

在终端执行 openclaw skills install personal-crm-warm-up。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

personal-crm-warm-up 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

personal-crm-warm-up 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

personal-crm-warm-up 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

personal-crm-warm-up 用的人多吗?

公开数据是累计安装 2,634 次,近一周安装 112 次,下载 923 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

personal-crm-warm-up 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
personal-crm-warm-up

personal CRM warm UP 效率 · 本页

2,6341接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
Personal-CRM-Warm-Up
description
Identifies contacts you haven't reached out to recently and suggests low-pressure ways to reconnect.
commands
description
Scans your contacts and returns people you should reach out to, sorted by urgency.
arguments
type
integer
required
false
description
How many suggestions to return. Default 3.
type
string
required
false
description
Filter by contact category. One of "Inner Circle", "Professional", "Friend", "Casual".
returns
A Markdown table with contact name, category, days since last interaction, a reconnection hook, and a drafted message.

What It Does

This skill acts as a personal networking assistant. It reads a local contacts.json file, figures out which relationships have gone cold based on configurable time thresholds per category, and gives you a prioritized list of people to reach out to — complete with drafted reconnection messages so you don't have to stare at a blank screen.

Use it as a lightweight, local-first CRM with zero cloud dependencies and no data leaving your machine.

How It Works

The scoring engine is simple but effective:

  1. Load contacts from contacts.json (or a custom path passed to the handler).
  2. Score each contact by calculating days since last interaction − category threshold. A positive value means the contact is overdue.
  3. Filter and sort — only overdue contacts are returned, ranked from most overdue to least.
  4. Draft a reconnection message for each overdue contact using their lastTopic as a conversation hook. Messages are deterministic (same contact always gets the same template) so the outreach feels consistent.

Category Thresholds

Each contact category has a default threshold (in days) before it's considered overdue. These defaults are designed around typical relationship cadences:

CategoryDefaultRationale
Inner Circle30 daysClose relationships degrade fastest when neglected
Friend60 daysMonthly-ish is enough to stay current
Professional90 daysQuarterly touchpoints are standard for network maintenance
Casual120 daysAcquaintances need less frequent contact

Override any threshold with environment variables:

CRM_INNER_CIRCLE_DAYS=30
CRM_PROFESSIONAL_DAYS=90
CRM_FRIEND_DAYS=60
CRM_CASUAL_DAYS=120

Command Reference

warm_up_check

Runs the full scoring pipeline and returns a Markdown report with a summary table and drafted messages.

Arguments:

ArgumentTypeDefaultDescription
limitinteger3Maximum number of overdue contacts to return
categorystring(all)Restrict results to one category: "Inner Circle", "Professional", "Friend", "Casual"

Output format:

The command returns a Markdown document with two sections:

  • A summary table with columns: Name, Category, Days Since Last Interaction, Overdue By (days past threshold), and Hook (truncated last topic for quick context).
  • Draft messages — one per overdue contact, tailored to their preferred contact method (email, Slack, or text) and referencing the last topic discussed.

When no contacts are overdue, the command returns: All caught up! No contacts are overdue for a warm-up.

Examples:

# Default: top 3 most overdue contacts
node handler.js warm_up_check

# Get up to 5 suggestions
node handler.js warm_up_check --limit 5

# Focus on professional network only
node handler.js warm_up_check --category "Professional"

# Combine filters
node handler.js warm_up_check --limit 10 --category "Inner Circle"

Contact Data Format

Each contact in contacts.json is an object with these fields:

{
  "name": "Jane Doe",
  "category": "Inner Circle",
  "lastInteractionDate": "2026-03-15",
  "lastTopic": "Discussed her upcoming trip to Japan",
  "contactMethod": "text"
}
FieldTypeRequiredDescription
namestringYesFull name of the contact
categorystringYesOne of "Inner Circle", "Professional", "Friend", "Casual"
lastInteractionDatestringYesISO date (YYYY-MM-DD) of the last meaningful interaction
lastTopicstringYesShort description of what you last discussed — used as the reconnection hook in drafted messages
contactMethodstringYesPreferred outreach channel: "email", "slack", or "text"

Contacts with an unrecognized category fall back to the Casual threshold.

Design Decisions

  • Local-only, no network calls: All data stays in contacts.json on disk. No API keys, no cloud sync, no telemetry.
  • Deterministic drafts: The message template for a given contact is selected by a hash of their first name, so the same person always gets the same style of message. This avoids jarring inconsistency if you run the check multiple times.
  • Threshold-based, not ML: The scoring is intentionally simple math (days elapsed minus threshold). This makes the behavior predictable and debuggable — you always know why someone appeared on the list.

平台分布

OpenClaw

73.67%
按下载量换算680

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills