Query, propose, and confirm knowledge units in a shared SQLite store.
npx skills add https://github.com/mozilla-ai/cq --skill cq-mozilla-ai
Please help me install this Agent Skill. Skill: cq Source: https://github.com/mozilla-ai/cq/tree/main/plugins/cq/skills/cq Command: npx skills add https://github.com/mozilla-ai/cq --skill cq-mozilla-ai
The cq Skill solves the problem of repeated mistakes among AI agents by providing a shared knowledge store where agents can query existing knowledge, propose new insights, and confirm or flag knowledge units based on their experiences.
To start a task and use the cq Skill, simply call the 'query' command with relevant domain tags derived from the task.
High-intent search queries and answers about installing and using this skill.
You can use a knowledge store to let AI agents query existing knowledge, propose new insights, and confirm or flag knowledge units based on their experiences. This prevents agents from repeating common mistakes during development and debugging workflows.
AI agents query and propose knowledge units by calling the query command with relevant domain tags. Agents can then propose new insights they discover during tasks, or confirm and flag existing knowledge units as incorrect or outdated within the store.
Yes, Python and SQLite are required dependencies for managing the AI agent knowledge store. These components handle knowledge store management, allowing agents to query, propose, and confirm knowledge units during development and debugging workflows.
A shared knowledge store improves AI agent collaboration by providing a central repository where agents query existing knowledge to avoid common mistakes, propose new insights, and confirm or flag knowledge units based on their experiences during tasks.
The best way to prevent AI agents from repeating coding mistakes is to integrate a shared knowledge store where agents query existing knowledge before making changes, propose new issues they encounter, and confirm the accuracy of guidance they receive during development.
Yes, AI agents can flag outdated knowledge units in a SQLite knowledge store. Agents confirm the accuracy of existing knowledge or flag it as incorrect or outdated based on their experiences during development and debugging workflows.
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anderskevStore and query vector embeddings in SQLite using vec0 virtual tables.
