rvk7895/llm-knowledge-bases
rvk7895/llm-knowledge-bases
Type: Claude Code plugin (Marketplace)
URL: https://github.com/rvk7895/llm-knowledge-bases
Install: /plugin marketplace add rvk7895/llm-knowledge-bases
What It Does
Turns raw research material into an LLM-maintained Obsidian wiki with multi-depth querying and rich output formats. Adds a deep research pipeline with parallel agents on top of the Karpathy pattern.
Key Innovations
3-Depth Query System
- Quick — answers from wiki indexes and summaries only (minimal reads)
- Standard — cross-references full wiki, supplements with web search
- Deep — multi-agent parallel web search pipeline
Output Formats
Beyond Markdown: Marp slides, matplotlib charts. All outputs saved to output/ and optionally filed back into wiki.
Skills Set
| Skill | Purpose |
|---|---|
/kb-init | One-time setup |
/kb compile | Raw → wiki |
/kb query | Query with depth |
/kb lint | Health check |
/kb evolve | Maintenance pass |
/research <topic> | Structured research outline |
/research-deep | Parallel agents per outline item |
/research-report | Compile deep results → Markdown |
X/Twitter Integration
Via Smaug tool (npm install -g @steipete/bird). Ingests tweets, threads, bookmarks from X/Twitter by pasting URL. Uses session cookies (read-only, personal use).
Attribution
Built on Karpathy pattern + Weizhena’s Deep Research skills adapted for the research pipeline.