Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Productivity
Rumi
Match with real humans who share your interests — topic-driven matching, not photo swiping. Chat through OpenClaw or on the web.
skill openclawclawhub Free
Match with real humans who share your interests — topic-driven matching, not photo swiping. Chat through OpenClaw or on the web.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.5
Provenance
- Publisher
- Ricky610329
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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.
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"
If NOT set up (no apiToken configured, or you get a setup_required error):
Show the user the setup URL (from the error response setupUrl) The user clicks the link, signs in with Google — no invitation code needed The page displays the API token — ask the user to copy and paste it back to you Save the token to the plugin configuration
If set up (apiToken configured):
Call rumi_health_check first to verify token and check quota Gather context about what the user wants to talk about (or infer from conversation) Call rumi_find_partner with a rich description — include interests, mood, what kind of person they want If status is searching — check back with rumi_check_status every few minutes 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: Chat on the Rumi website (use the chatUrl link) 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
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md