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Description
Description
Build a packaged skill for Zo Computer that enables Zo users to have persistent memory across their AI interactions.
What is Zo Computer?
Zo is an intelligent cloud computer that combines AI, storage, and compute in a single platform. Users can create "skills" — reusable workflows that extend Zo's capabilities. Skills are packaged workflows that can be shared and run.
Proposed Skill Capabilities
- Auto-Memory: Automatically save conversations to Honcho
- Query Memory: "What do you remember about X?"
- Context Injection: Automatically include relevant context in prompts
- Multi-Workspace Support: Manage different memory spaces for different use cases
Implementation
zo-honcho-skill/
├── SKILL.md # Skill definition following Zo's format
├── setup.py # Honcho client initialization
├── tools/
│ ├── save_memory.py # Store conversation in Honcho
│ ├── query_memory.py # Use peer.chat() for Q&A
│ └── get_context.py # Get session context
└── README.md
Key Integration Points
| Honcho Concept | Zo Mapping |
|---|---|
| Workspace | Zo account/project |
| Peer | Zo user |
| Session | Zo conversation/task |
| Messages | Zo chat messages |
peer.chat() |
Memory query tool |
Resources
- Zo Computer: https://www.zo.computer
- Zo Skills repo: https://github.com/zocomputer/skills
Acceptance Criteria
- Skill follows Zo's skill format
- Works with Honcho
- Documentation includes setup instructions
- Submitted to Zo skill hub/marketplace
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