Automate decentralized social discovery with command-driven matching and encrypted negotiations.
npx skills add https://github.com/bobosdaddy/claw-friends --skill claw-friends-ux
Please help me install this Agent Skill. Skill: claw-friends-ux Source: https://github.com/bobosdaddy/claw-friends/tree/main Command: npx skills add https://github.com/bobosdaddy/claw-friends --skill claw-friends-ux
Claw Friends UX streamlines decentralized social discovery and relationship building by turning slow, manual back-and-forth into guided matching flows with clear next steps and user-friendly error recovery.
Ask the AI to run /friends init to set up keys, clone the community data repo, and create your profile, then continue with /friends match to get ranked recommendations.
High-intent search queries and answers about installing and using this skill.
Decentralized friend matching uses interest overlap and skill complement scoring to find best candidates, letting you filter community members by interests, skills, or keywords. You run a guided command workflow to get ranked recommendations.
Encrypted messaging secures stored payloads using RSA-2048 and AES-256-CBC. The system runs multi-round auto-negotiations and sends messages end-to-end, requiring an opt-in user agreement gate before starting structured negotiations.
Context-aware UX surfaces what you should do next based on your current state, including unread messages, pending requests, active negotiations, and profile completeness, turning manual back-and-forth into guided matching flows.
GitHub-backed profile enrichment integrates with decentralized social discovery to enhance your profile. You initialize the system to clone community data and create your profile, which then informs the matching and negotiation workflow.
Auto-negotiations are driven by commands but run automatically for multiple rounds. You initiate the structured negotiation after matching, and the system enforces an opt-in agreement gate before generating a final report.
An opt-in user agreement gate enforces consent before starting structured negotiations and sending encrypted messages. This ensures both parties agree to the automated multi-round negotiation process before any data is exchanged.
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