Route natural language inputs to Knowz search, save, and amend actions.
npx skills add https://github.com/knowz-io/knowz-skills --skill knowz-auto
Please help me install this Agent Skill. Skill: knowz-auto Source: https://github.com/knowz-io/knowz-skills/tree/main/plugins/knowz/skills/knowz-auto Command: npx skills add https://github.com/knowz-io/knowz-skills --skill knowz-auto
This Skill solves the friction of manually managing a knowledge base by automatically routing user messages to the correct Knowz action, such as searching, saving, or amending documentation.
Ask the knowz-auto skill to search for the authentication patterns in our knowledge base.
High-intent search queries and answers about installing and using this skill.
Automating knowledge base search and updates is handled by routing natural language inputs to appropriate vault actions. The system classifies messages into query, save, or amend intents to retrieve and modify documentation without manual commands.
Intent routing for knowledge management automatically classifies user messages into search, save, or amend operations. It connects to vault tools to execute the classified intent, surfacing relevant architectural decisions or conventions based on natural language patterns.
Yes, MCP tools are required to route queries to a knowledge vault. The system relies on these integrations to perform authenticated vault lookups and execute updates when saving or amending documentation.
To save developer insights automatically, the system identifies save intents from natural language inputs and routes them to the vault. This captures workarounds and architectural decisions durably without requiring explicit save commands.
Retrieving architectural conventions is best handled by routing natural language queries directly to the vault. The system identifies the query intent and surfaces relevant documentation based on existing vault rules and context.
Yes, you can amend existing documentation through conversational inputs. The system detects amend intents from natural language and routes the modifications to update the appropriate entries within the knowledge vault.
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