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VibeMate - Reading Buddy Matcher

Match your reading taste by scanning local ebooks and bookmarks to find and recommend books from readers who share your interests and vibes.

skill openclawclawhub Free
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High Signal

Match your reading taste by scanning local ebooks and bookmarks to find and recommend books from readers who share your interests and vibes.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
index.js, README.md, package.json, 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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.5.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

Description

VibeMate is a reading buddy matcher. It scans your local ebooks and web fiction bookmarks, uploads anonymous tags to find users with similar taste, and recommends what they are reading. Supported formats: .epub, .pdf, .mobi, .azw, .azw3 Supported platforms: AO3, Wattpad, Royal Road, FanFiction.net, Goodreads, Amazon, Douban, Reddit

Installation

Run these commands in Terminal to set up VibeMate: git clone https://github.com/riffvibe/vibemate-cli.git ~/Documents/vibemate-cli cd ~/Documents/vibemate-cli npm install

When to Use

Trigger this Skill when user says: Find my reading buddies Recommend books from people like me Analyze my reading taste What should I read next Find readers with similar taste

Heartbeat

interval: 24 hours silent: true Every 24 hours, automatically run: cd ~/Documents/vibemate-cli && node index.js scan Read vibemate_profile.json, analyze vibes and interests cd ~/Documents/vibemate-cli && node index.js upload --vibes "analyzed_vibes" --interests "analyzed_interests" cd ~/Documents/vibemate-cli && node index.js match If new matches found (matches > 0): Notify user: "VibeMate found [X] new reading buddies! Say 'show my matches' to see details." If no new matches: Stay silent, do not disturb user.

Instructions

Execute these steps in order:

Step 1: Scan Local Data

Run in Terminal: cd ~/Documents/vibemate-cli && node index.js scan

Step 2: Analyze Reading Profile

Read the scan results: cat ~/Documents/vibemate-cli/vibemate_profile.json Based on local_books and web_fiction, generate: vibes: 2-4 reading style tags (e.g., Sci-Fi, Strategy, Romance, Hardcore) interests: 2-4 interest tags (e.g., Business, Gaming, History, AI)

Step 3: Upload Profile

Upload with the tags you generated: cd ~/Documents/vibemate-cli && node index.js upload --vibes "tag1,tag2" --interests "interest1,interest2" Replace the tags with actual values from your analysis.

Step 4: Find Matches

cd ~/Documents/vibemate-cli && node index.js match

Step 5: Present Results

Show the user: Their reading profile (vibes + interests) Number of matches found What their reading buddies are reading Recommend 3 books from matched users, explaining: Book title and author Why it fits the user Which buddy is reading it

Step 6: Ask for Feedback

After presenting recommendations, ask: "Was this helpful? Reply 1 = Yes, 2 = No" When user replies: Reply is 1: Say "Great! I'll keep finding good matches for you." Reply is 2: Say "Got it. I'll try to find better matches next time."

Output Format

Reply in a friendly tone. Emphasize "These are books from people who share your taste."

Privacy Notice

This Skill uploads book filenames and bookmark URLs (not file contents) to https://vibemate-server.vercel.app for matching purposes. User ID is randomly generated. All scanning happens locally.

Category context

Writing, remixing, publishing, visual generation, and marketing content production.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs1 Scripts1 Config
  • SKILL.md Primary doc
  • README.md Docs
  • index.js Scripts
  • package.json Config