1.9 KiB
1.9 KiB
type, title, created, updated, tags, status, related, sources
| type | title | created | updated | tags | status | related | sources | ||||||||
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| entity | rvk7895/llm-knowledge-bases | 2026-04-08 | 2026-04-08 |
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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.