Navigates and queries a persistent project ontology to maintain continuity and reasoning in AI-driven development.
Autology Explorer provides a conversational interface for interacting with a project's living ontology, allowing developers to retrieve architectural decisions, coding conventions, and system patterns across multiple Claude Code sessions. By bridging the gap between ephemeral AI interactions and long-term project knowledge, it ensures that reasoning is tracked and human understanding is preserved. The skill allows for complex querying by type, tag, status, and confidence levels, making it an essential tool for maintaining high-context development environments.
Key Features
01Conversational natural language querying for project-specific knowledge
022 GitHub stars
03Comprehensive status dashboards showing ontology health and recent activity
04Seamless integration with local Markdown-based documentation and Obsidian vaults
05Deep-dive node inspection with relationship mapping and file references
06Multi-criteria filtering by node type, status, tags, and confidence scores
Use Cases
01Auditing the knowledge base for nodes that need review or have low confidence scores
02Tracing the rationale behind specific implementations during debugging or refactoring
03Onboarding to a new repository by exploring past architectural decisions and conventions
