| name | Research for Datacore |
| description | Automated research — source processing, podcast generation, and knowledge extraction |
| version | 0.2.0 |
| author | datacore-one |
| license | MIT |
| tags | ["research","podcasts","readwise","knowledge-extraction","notebooklm"] |
| x-datacore | {"module":"research","tools":2,"skills":2,"agents":2,"commands":1,"workflows":0,"engram_count":0,"injection_policy":"on_match","match_terms":["research","podcast","readwise","sources","literature","zettel","notebooklm"]} |
Research for Datacore
Automated research processing — curate links, generate NotebookLM podcasts,
extract knowledge artifacts, and build industry landscapes.
Tagline: "Curate links. Wake up to podcasts and insights."
What This Module Provides
Tools (MCP):
datacore.research.queue — List pending research links and processing statusdatacore.research.sources — Manage and query research source registry
Skills:
- Research status checking
- Ad-hoc podcast creation
Agents:
research-orchestrator — Full pipeline orchestration (DIP-0021)podcast-creator — NotebookLM podcast generation
Commands:
/research-daily — Manually trigger daily research processing
When to Use
Triggers: research, podcast, readwise, sources, literature, zettel, notebooklm.
