Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Match your reading taste by scanning local ebooks and bookmarks to find and recommend books from readers who share your interests and vibes.
Match your reading taste by scanning local ebooks and bookmarks to find and recommend books from readers who share your interests and vibes.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
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
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
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
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.
Execute these steps in order:
Run in Terminal: cd ~/Documents/vibemate-cli && node index.js scan
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)
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.
cd ~/Documents/vibemate-cli && node index.js match
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
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."
Reply in a friendly tone. Emphasize "These are books from people who share your taste."
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.
Writing, remixing, publishing, visual generation, and marketing content production.
Largest current source with strong distribution and engagement signals.