Manage knowledge base entries with structured formats and tagging.
npx skills add https://github.com/truongnat/aix --skill kb-workflow
Please help me install this Agent Skill. Skill: kb-workflow Source: https://github.com/truongnat/aix/tree/main/content/skills/kb-workflow Command: npx skills add https://github.com/truongnat/aix --skill kb-workflow
This Skill streamlines the process of managing a knowledge base by providing a structured format for documenting solutions and a rich tagging strategy for discovery.
Use the 'skill kb search "topic"' command to search for existing solutions before starting new work.
High-intent search queries and answers about installing and using this skill.
To structure solution documentation effectively, use a standardized format for problems, solutions, insights, and tags. This ensures clear knowledge base entries that facilitate quick discovery before starting new work.
The best way to search existing knowledge base entries is using a search-first discipline with specific commands like 'skill kb search'. This leverages rich tagging and graph auto-linking to quickly retrieve documented solutions.
Yes, managing the structured knowledge lifecycle requires Neo4j, Meilisearch, and Redis. These dependencies provide the necessary storage, graph auto-linking, and search capabilities for writing, updating, and deleting entries.
Rich tagging improves knowledge base discovery by using a specific tagging system that promotes graph auto-linking. This creates structural relationships between entries, enabling faster search retrieval than flat standard categorization.
Yes, you can update and delete structured knowledge entries without breaking graph auto-linking. The knowledge base lifecycle management supports pushing, updating, and deleting entries while maintaining structural integrity across the graph.
Search-first discipline in knowledge base management is the practice of querying existing documented solutions before starting new work. It relies on rich tagging and structured formats to prevent duplicating effort.
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