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peoplepeople 搜索

Agent Skill

people 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

44,578

周安装

1,821

GitHub Stars

4

下载量

14,277
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:people(people 搜索)
来源仓库:https://github.com/ivangdavila/people
安装命令:
openclaw skills install people
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 people

简介

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。

  • 适用场景:信息检索、人员查找、线索筛选
  • 核心能力:关键词匹配、来源关联、结果排序
  • 使用方式:输入搜索条件后调用相应接口获取结果
  • 安装或权限注意事项:需核实权限边界,避免越权访问

SKILL.md

name
Contacts
description
Build a personal contact system with details, interactions, birthdays, and smart reminders.
metadata
{"clawdbot":{"emoji":"👥","os":["linux","darwin","win32"]}}

Core Behavior

  • User mentions a person → check if contact exists, offer to create/update
  • Calendar event detected with contact → surface relevant notes before meeting
  • Birthday approaching → remind with context about the person
  • Create ~/contacts/ as workspace

When User Mentions Someone

  • "Had coffee with Maria" → log interaction, create contact if new
  • "John's daughter is Sofia" → add to personal details
  • "Sarah loves hiking" → add to interests/notes
  • "Meeting with Tom tomorrow" → check calendar, surface Tom's context

Contact Structure

  • One Markdown file per person: maria-garcia.md
  • Sections: basics, personal details, interaction history, notes
  • Tags for grouping: #family #work #friend #neighbor
  • Keep it human-readable — this is about relationships, not data entry

Key Fields To Capture

  • Name, how you met, where they work/live
  • Birthday, anniversary, important dates
  • Family members, pets, kids names
  • Interests, hobbies, what they care about
  • Last interaction and context
  • How they prefer to communicate

Interaction Logging

  • Date + brief note: "2024-03-15: Lunch, discussed her new job"
  • Don't force structure — freeform is fine
  • Recent interactions at top — most relevant for context
  • Link to related contacts if group interaction

Birthday System

  • Store birthday in frontmatter or consistent format
  • Daily/weekly scan for upcoming birthdays
  • Remind 3-7 days ahead — time to prepare
  • Include context: interests, gift ideas from notes

Calendar Integration

  • Before meeting: "You're meeting Alex tomorrow. Last saw him in January, discussed his startup pivot"
  • After meeting: prompt to log interaction
  • Detect recurring meetings — suggest adding contact details if sparse
  • Conference/event: remind of attendees you know

Progressive Enhancement

  • Week 1: create contacts as they come up naturally
  • Week 2: add birthdays for close contacts
  • Month 2: review and enrich sparse contacts
  • Ongoing: capture details during conversations

What To Surface Proactively

  • "Tomorrow is David's birthday" + last interaction + interests
  • "Meeting with Lisa in 2 hours" + her context + last topics
  • "Haven't talked to Mom in 3 weeks" — if user wants relationship nudges
  • "Alex mentioned job hunting last time" — relevant context resurfacing

Details Worth Remembering

  • Kids/spouse names and ages
  • Recent life events: new job, moved, health issues
  • Preferences: vegetarian, doesn't drink, early riser
  • Sensitive topics to avoid
  • How you can help them / how they can help you

What NOT To Suggest

  • Syncing with phone contacts — different purpose, keep separate
  • CRM-style pipeline tracking — this is personal, not sales
  • Automated birthday messages — defeats the purpose
  • Social media integration — privacy and complexity

Folder Structure

~/contacts/
├── people/
│   ├── maria-garcia.md
│   └── john-smith.md
├── index.md          # quick reference
└── birthdays.md      # upcoming dates view

Search and Retrieval

  • "What do I know about Sarah?" → show full contact
  • "Who works at Google?" → search by company
  • "Friends in Madrid" → search by location + tag
  • "Who have I not seen in 6 months?" → interaction date scan

Privacy Considerations

  • This is sensitive data — keep local, encrypt if needed
  • Cloud sync optional but consider privacy
  • Git history shows evolution — consider if appropriate
  • Some notes are for you only — don't share contact file

Relationship Maintenance Prompts

  • Offer to check on contacts not seen in X months
  • Flag contacts with outdated info
  • Suggest reaching out around their important dates
  • "You mentioned wanting to introduce A to B" — track pending intros

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

70.29%
按下载量换算10,035

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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。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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