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personal-crm-warm-uppersonal CRM warm UP 效率

Agent Skill

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。

总安装

2,634

周安装

112

GitHub Stars

1

下载量

923
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: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

简介

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。

SKILL.md

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.

适合场景

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需要根据任务场景推荐可安装能力包时

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能力概览

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能力 2

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能力 3

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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

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73.67%
按下载量换算680

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敏感数据

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安装前确认

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来源信息

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