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You MUST use this for gathering contexts before any work. This is a Knowledge management for AI agents. Use `brv` to store and retrieve project patterns, decisions, and architectural rules in .brv/context-tree. Uses a configured LLM provider (default: ByteRover, no API key needed) for query and curate operations.
Passed 8 of 16 test cases with the skill, and 0 of 16 without it.
12 fixed0 passed either way11 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
The instructions your model reads when the skill loads.
Use the brv CLI to manage your project's long-term memory.
Install: npm install -g byterover-cli
Knowledge is stored in .brv/context-tree/ as human-readable Markdown files.
No authentication needed. brv query and brv curate work out of the box. Login is only required for cloud sync (push/pull/space) — ignore those if you don't need cloud features.
brv query to understand existing patterns.brv curate to save new patterns/decisions.Overview: Retrieve relevant context from your project's knowledge base. Uses a configured LLM provider to synthesize answers from .brv/context-tree/ content.
Use this skill when:
Do NOT use this skill when:
brv query "How is authentication implemented?"
Overview: Analyze and save knowledge to the local knowledge base. Uses a configured LLM provider to categorize and structure the context you provide.
Use this skill when:
test cases passed, vs 0 / 16 without
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