Query and curate persistent project knowledge via a ByteRover context tree.
npx skills add https://github.com/AlekseiUL/heisenberg-team --skill byterover-alekseiul
Please help me install this Agent Skill. Skill: byterover Source: https://github.com/AlekseiUL/heisenberg-team/tree/main/skills/byterover Command: npx skills add https://github.com/AlekseiUL/heisenberg-team --skill byterover-alekseiul
Byterover helps you stop re-discovering project patterns and decisions by persisting knowledge that can be queried before work and curated after work.
Run a knowledge lookup with brv query by asking a specific question about how a part of the codebase works, like brv query "How is auth implemented?".
High-intent search queries and answers about installing and using this skill.
You can persist project knowledge across coding sessions by using a context tree to retrieve prior conventions and curate new insights. This workflow ensures that architecture decisions and bug root causes remain accessible for future development tasks.
A retrieval-first workflow for project documentation means querying existing context to understand how code works before implementing changes. This approach ensures you check prior conventions and explanations first, then document fresh insights after the work is complete.
You query existing architecture decisions before refactoring by asking specific questions about codebase functionality. The system retrieves relevant patterns and explanations from the persistent context tree, keeping your refactoring efforts informed by past decisions.
Yes, you can use file-scoped context ingestion for debugging knowledge management. This approach ensures that captured bug root causes and explanations remain specific to the relevant files, keeping the knowledge actionable and tightly coupled to your codebase.
Yes, you need YAML metadata to start capturing project learnings. Defining a name and description in YAML is required for the operational support that enables querying and curating actions within your development workflow.
You should not use a persistent context tree for pattern discovery if your work is strictly ephemeral and does not require durable knowledge capture. It is best suited for coding and architecture tasks where retrieving past decisions significantly informs future work.
alexdcdCreate new Claude skills with YAML frontmatter and Markdown guidance.
irahardiantoRetrieve implementation knowledge, code examples, and documentation references from a knowledge base.
miko06Update project documentation files after shipping using Git and Bash.
dt418Build documentation platforms with versioned docs, search, navigation, code highlighting, and API reference generation.
