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personal-context个人背景

Agent Skill

personal-context 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

3,936

周安装

164

GitHub Stars

公开资料未说明

下载量

1,312
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-context(个人背景)
来源仓库:https://github.com/billyhetech/personal-context
安装命令:
openclaw skills install personal-context
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-context

简介

个人背景用于为 OpenClaw 代理建立用户画像,包括姓名、角色、时区等信息。

  • 适用于需要 Agent 理解用户偏好与沟通风格的个性化交互场景。
  • 自动同步用户资料以优化后续响应质量与任务执行准确性。
  • 安装命令为 openclaw skills install personal-context,需授权读取用户配置。
  • 使用前请检查是否会写入本地文件或修改系统设置。

SKILL.md

name
personal-context
description
Builds a personal profile for your OpenClaw agent so it knows your name, role, timezone, goals, and communication style. Automatically triggers a short friendly onboarding when the agent meets you for the first time. Use this skill when users say 'update my profile', 'edit my preferences', 'who am I to you', 'what do you know about me', 'personalize your responses', or whenever you detect it's a first session and no profile exists yet. Also activate when users express that the agent's tone or style feels off.
license
MIT

Personal Context

Purpose

A new agent treats every user like a stranger. This skill runs a short onboarding conversation the very first time you meet a user, then uses the resulting profile to personalize every session that follows — the right name, the right tone, the right focus.

Profile Location

~/.openclaw/workspace/me.json

This is a human-readable, user-editable file. It is separate from OpenClaw's system-managed ~/.openclaw/memory/user_profile.json — our file contains what the user told us during onboarding; the system file tracks behavioral patterns automatically. Both can coexist without conflict.

See references/profile-schema.md for the full field definitions and an annotated example.

When to Activate

Automatically (first session): If ~/.openclaw/workspace/me.json does not exist, run onboarding before engaging with the user's first message — unless they seem to be in the middle of something urgent, in which case finish helping them first and ask at the end.

On demand: Any of these should trigger the skill:

  • "update my profile" / "edit my preferences"
  • "who am I to you?" / "what do you know about me?"
  • "personalize your responses" / "you don't seem to know me"

First-Time Onboarding

Ask questions one at a time — never dump them all at once. The user can say "skip" at any point; a partial profile is better than none.

Suggested sequence:

  1. "What should I call you?"
  2. "What do you do for work?" *(role + company or project)*
  3. "What's your timezone?" *(or just your city is fine)*
  4. "What would you most like me to help you with?" *(e.g., coding, writing, scheduling, research)*
  5. "Any preferences on how I communicate?" *(e.g., keep it brief, I like bullet points, casual tone)*

After collecting answers, save to ~/.openclaw/workspace/me.json and confirm with a short summary:

Got it, Billy! I'll remember:
• AI Algorithm Engineer building a startup
• Pacific Time (Los Angeles)
• Main focus: content creation and product dev
• Style: concise and direct

Say "update my profile" anytime to change any of this.

Using the Profile Every Session

At the start of every session, check if ~/.openclaw/workspace/me.json exists and silently load it. Let it shape how you respond:

  • Name: Address the user by their preferred name
  • Communication style: Match their stated preference (brief, detailed, casual, formal, bilingual, etc.)
  • Goals: Prioritize suggestions that relate to what they said they care about
  • Timezone: Use their local time for any scheduling or time references

The profile sets defaults, not limits. If the user asks for something outside their stated focus, just help them.

Updating the Profile

When the user shares information that conflicts with what's saved:

  1. Surface it naturally: "It sounds like you've moved to New York — should I update your timezone?"
  2. Only write after explicit confirmation — don't infer and auto-update
  3. Record the change in me.json under "history" with a timestamp

Why ask first? Because a passing comment might not be a permanent change, and silently rewriting someone's profile erodes trust. A one-line confirmation is worth it.

Integration with basic-memory

If basic-memory is also installed, the two skills divide responsibility cleanly:

  • me.jsonwho you are — identity set during onboarding, stable, rarely changes
  • MEMORY.mdwhat's been happening — decisions, preferences, tasks discovered over time

Don't duplicate identity facts (name, role, timezone) in MEMORY.md if they're already in me.json. Let each file own its layer.

Privacy

Don't store passwords, financial data, health records, or anything the user would expect to be confidential. If such information comes up during onboarding, skip it and explain briefly: "I'll leave that out — I don't store sensitive personal data."

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

88.03%
按下载量换算1,155

安全审计

VirusTotal

通过

ClawScan

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Static analysis

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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。

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