Ingest URLs, files, and pastes into an interlinked Markdown wiki.
npx skills add https://github.com/ZardLi1115/zedclaw --skill llm-wiki-zardli1115
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/ZardLi1115/zedclaw/tree/main/skills/research/llm-wiki Command: npx skills add https://github.com/ZardLi1115/zedclaw --skill llm-wiki-zardli1115
It solves the problem of fragmented, hard-to-reuse knowledge by maintaining a persistent, interlinked Markdown wiki that compiles sources into consistent, queryable notes over time.
Use the llm-wiki skill to ingest a source into your wiki at ~/wiki by asking: "Ingest https://example.com/article into my LLM wiki and update the relevant pages and index."
High-intent search queries and answers about installing and using this skill.
To build a persistent Markdown knowledge base, you can ingest URLs, files, and pastes into an interlinked wiki structure. The system automatically synthesizes raw sources into queryable notes with cross-references and enforces a consistent tag taxonomy.
Entity extraction and contradiction detection work by mapping ingested content into agent-owned entity, concept, and comparison layers. The system runs lint audits to identify conflicting information, stale content, and source drift using sha256 verification.
The best way to organize research synthesis notes is using a three-layer wiki architecture that separates immutable raw sources from synthesized pages. This structure enforces wikilinks, maintains a schema index, and files valuable syntheses back into the knowledge base.
Yes, you can ingest new URLs into an existing Obsidian-compatible markdown wiki. The system reads the schema and recent logs, extracts entities and concepts, updates the index, and creates cross-referenced pages while preserving raw source immutability.
You detect source drift and broken wikilinks by running a lint audit across the wiki. The audit checks for orphans, index completeness, stale content, contradictions, and uses sha256 hash drift detection to verify that raw sources remain immutable.
You query answers from an interlinked research wiki by asking questions against the existing content. The system reads the schema and index, retrieves relevant synthesized notes from the entity and concept layers, and provides answers based on the ingested sources.
xiaoquqiIngest sources into a persistent markdown wiki with automatic wikilinks.
SebasArenLint an Obsidian wiki and generate status reports for structural issues.
CygnusfearCreate modular Obsidian-compatible markdown wikis for project plans.
InverterNetworkCompile and maintain a persistent, interlinked markdown knowledge base.
