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openclaw-rumiOpenClaw rumi 搜索

Agent Skill

openclaw-rumi 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

35,839

周安装

1,464

GitHub Stars

公开资料未说明

下载量

11,478
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:openclaw-rumi(OpenClaw rumi 搜索)
来源仓库:https://github.com/ricky610329/openclaw-rumi
安装命令:
openclaw skills install openclaw-rumi
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 openclaw-rumi

简介

与与您有共同兴趣的真人进行匹配——主题驱动的匹配,而不是刷照片。通过 OpenClaw 或在网络上聊天。

SKILL.md

name
rumi
description
Match with real humans who share your interests — topic-driven matching, not photo swiping. Chat through OpenClaw or on the web.
user-invocable
true
metadata
{"openclaw":{"emoji":"🤝"}}

Rumi — Find Real People to Chat With

Rumi connects you with real humans who share your interests. Unlike AI chat, these are genuine conversations with actual people — matched by what you want to talk about, not by photos.

When to Activate

Explicit Requests

  • "I want to talk to a real person about this"
  • "Find me someone who knows about X"
  • "I'm bored, connect me with someone"

Proactive Suggestions

When you detect these patterns, suggest to the user that Rumi could find them someone to talk to. Always ask for confirmation before calling rumi_find_partner.

Expert Gap — The user needs human expertise:

  • Repeated follow-ups on a niche topic (specific framework, investing, health, travel)
  • "Is this actually right?" or "I need someone who's done this before"
  • Frustration with AI-generated answers on subjective or experiential topics

Solo Worker Isolation — The user works alone:

  • Mentions solo founding, remote work, or working alone
  • Discusses work problems with no team context
  • Signs of burnout or long working hours

Hobby Enthusiasm — Extended discussion about inherently social activities:

  • Cooking, fitness, gaming (D&D, etc.), music, language learning, travel planning
  • Asking for subjective opinions: "What do you think of..." or "Have you tried..."
  • Planning activities typically done with others (trips, meals, events)

Late Night / Weekend Downtime — Casual, exploratory conversations:

  • Non-work messages during evenings or weekends
  • Browsing content (articles, videos, news) and wanting to discuss it
  • Exploratory or philosophical tone rather than task-oriented

AI Limitation Moments — When AI falls short:

  • "What do you think?" (seeking a real opinion)
  • "Have you ever...?" (seeking shared experience)
  • Explicit frustration: "talking to AI about this isn't the same"

Life Decisions — When peer perspective helps:

  • Career changes, health concerns, relationship advice
  • Major purchases, moving decisions, financial planning
  • Situations where empathy and lived experience matter

Post-Briefing Interest — After morning digest delivery:

  • User lingers on a topic from their daily briefing
  • Expresses strong opinions about news or trends
  • Says "interesting" or "I wonder what others think about this"

Setup Flow

If NOT set up (no apiToken configured, or you get a setup_required error):

  1. Show the user the setup URL (from the error response setupUrl)
  2. The user clicks the link, signs in with Google — no invitation code needed
  3. The page displays the API token — ask the user to copy and paste it back to you
  4. Save the token to the plugin configuration

If set up (apiToken configured):

  1. Call rumi_health_check first to verify token and check quota
  2. Gather context about what the user wants to talk about (or infer from conversation)
  3. Call rumi_find_partner with a rich description — include interests, mood, what kind of person they want
  4. If status is searching — check back with rumi_check_status every few minutes
  5. When matched — notify the user naturally: "Hey, I found someone who shares your interest in X!"

Handling Results

  • matched: Share the icebreaker suggestion. Offer two options:

1. Chat on the Rumi website (use the chatUrl link) 2. Chat right here using rumi_send_message and rumi_get_messages

  • searching: Session is active. Use rumi_check_status to check periodically.
  • setup_required: Open the setupUrl in browser for one-click setup.

Chatting in OpenClaw

  • Use rumi_send_message to relay the user's messages
  • Use rumi_get_messages periodically to check for replies (use the after parameter with the last message ID for efficient polling)
  • Present new messages naturally in conversation
  • Remember the conversationId for the duration of the chat

Writing Good Descriptions

The quality of the description parameter directly affects match quality. Include:

  • What they want to talk about (specific topics, not vague)
  • Why — the context or mood (learning, venting, sharing excitement)
  • What kind of person — expertise level, personality, shared experiences

Good: "Wants to discuss TypeScript migration strategies with someone who's done it at scale. Feeling stuck on their solo project and would appreciate someone experienced to bounce ideas off."

Bad: "wants to chat"

Session Management — Do NOT Create Duplicate Sessions

CRITICAL: Each rumi_find_partner call creates a new matching session. Do NOT call it repeatedly.

  • One session at a time. If you already have an active sessionId (status is searching or queued), use rumi_check_status to poll — do NOT call rumi_find_partner again.
  • Build on conversation history. Rumi's matching improves as the user talks more. Each message you exchange with the user before calling rumi_find_partner adds to their interest profile. Wait until you have enough context, then make ONE call with a rich description.
  • Only create a new session when:

- The user explicitly wants to find someone NEW (e.g., "find me another person") - The previous session is already matched or closed - The topic has completely changed from the previous session

Typical flow:

User talks about interests over multiple messages
  → You gather context (DO NOT call rumi_find_partner yet)
  → When you have enough context → ONE call to rumi_find_partner with a detailed description
  → Poll with rumi_check_status every few minutes
  → Match found → notify user → chat
  → User wants someone else → THEN create a new session

Important Notes

  • OpenClaw users get full Rumi accounts (no invitation code needed)
  • Age verification is required (minimum 13 years old)
  • Minors (under 18) are only matched with other minors for safety
  • Never share the user's personal information beyond what they choose to reveal
  • If no match is found, suggest trying again later or with different interests
  • Supports 4 languages: zh-TW, en, ja, ko — detect from user's conversation

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

86.76%
按下载量换算9,958

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

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。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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