Organize Lean proof observations into bidirectional Zettelkasten notes.
npx skills add https://github.com/r-irbe/proof-skills --skill lean-zettelkasten
Please help me install this Agent Skill. Skill: lean-zettelkasten Source: https://github.com/r-irbe/proof-skills/tree/main/skills/lean-zettelkasten Command: npx skills add https://github.com/r-irbe/proof-skills --skill lean-zettelkasten
Lean-proof researchers often lose track of observations and their relations, making reviews and synthesis slow. This skill provides a structured Zettelkasten to capture Lean proof notes and automatically link related items bidirectionally, enabling faster reasoning and traceability.
Invoke lean-zettelkasten to create a new ZK note from a council observation.
High-intent search queries and answers about installing and using this skill.
You can structure Lean proof observations into a Zettelkasten by generating fleeting, literature, and permanent notes with bidirectional links. This enforces ID schemas and tag maintenance to ensure coherent cross-references across proof reviews and literature scans.
Apply Zettelkasten note typing conventions to automatically generate bidirectional links between fleeting, literature, and permanent notes. This maintains a coherent knowledge graph and ensures traceability across related Lean proof observations during synthesis.
Invoke the Zettelkasten workflow during a council session to capture a Lean proof observation. The system automatically assigns the correct note typing, generates an ID, and creates bidirectional links to integrate the observation into the knowledge graph.
Yes, the workflow supports literature scans and retro proof assessments by applying specific rules for note promotion and linkage. It captures observations from these scenarios and maintains index and tag conventions to ensure structured knowledge synthesis.
ID schemas and note typing conventions are required in a Lean proof Zettelkasten to enforce structure across fleeting, literature, and permanent notes. This maintains knowledge graph coherence, ensures accurate bidirectional linking, and preserves traceability during synthesis.
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