Build multimodal retrieval context layers with Deep Lake 94/100
Store raw multimodal data, embeddings, and vector-search indexes in Deep Lake so agents can retrieve grounded context for RAG and analysis workflows.
no risky patterns detected
Type: Agent skill (SKILL.md) · Category: Search & Research · Source: https://github.com/agentskillexchange/skills/tree/HEAD/skills/build-multimodal-r
Score breakdown
| Capabilities (fewer powerful permissions = higher) | 50/50 |
| Maintenance | 29/35 |
| Documentation | 15/15 |
Why this score
- Docs include setup/install commands (one-time setup, not penalised)
- Instructions only: no bundled scripts
- Last updated 0 days ago +15
- 52 GitHub stars +4
- 75 contributors +5
- License: MIT +5
- Description and source link present +15
Always review files before installing. How scores work. Request a correction
Weekly: new skills & MCP servers, scored.