byterover
Skill1 starsChanged 13 days agoMITView on GitHub
Manages project knowledge using ByteRover context tree. Provides two operations: query (retrieve knowledge) and curate (store knowledge). Invoke when user requests information lookup, pattern discovery, or knowledge persistence. Developed by ByteRover Inc. (https://byterover.dev/)
5 other projects use a version of this, 4 of them edited.
Adopted by
Most recently taken up by
- AlekseiUL/heisenberg-team-GPTedited, first seen Nov 1, 2026
- AlekseiUL/heisenberg-teamedited, first seen Nov 1, 2026
- koinod/skillsedited, first seen May 22, 2026
- herbert051281/mission-controltheir own version, first seen Mar 25, 2026
- kunwl123456/zeroclaw-skills-collectionedited, first seen Feb 19, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 4
- kunwl123456/zeroclaw-skills-collection★ 2797% same
- AlekseiUL/heisenberg-team★ 1797% same
- AlekseiUL/heisenberg-team-GPT★ 997% same
- koinod/skills★ 097% same
Wrote their own version · 1
- herbert051281/mission-control★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
6 rules. 3 are common, 0 are distinctive, and 3 are very specific to this project.
3
Common
Most of the 5 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 25
Query: when you need to understand something:
- Common: line 30
Curate: when you learned or created something valuable:
- Very specific: line 51
Break down large contexts: - Run multiple brv curate commands for complex topics rather than one massive context.
- Very specific: line 53
Let ByteRover read files: - Don't read files yourself before curating.
- Common: line 71
Signal outdated context: - When curating updates that replace existing knowledge, explicitly tell ByteRover to clean up:
- Very specific: line 87
Run brv status first. If errors occur, the agent cannot fix them—instruct the user to take action in their brv terminal.
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
ByteRover Context Tree
A project-level knowledge repository that persists across sessions. Use it to avoid re-discovering patterns, conventions, and decisions.
Why Use ByteRover
- Query before working: Get existing knowledge about patterns, conventions, and past decisions before implementing
- Curate after learning: Capture insights, decisions, and bug fixes so future sessions start informed
Quick Reference
| Command | When | Example |
brv query "question" | Before starting work | brv query "How is auth implemented?" |
brv curate "context" -f file | After completing work | brv curate "JWT 24h expiry" -f auth.ts |
brv status | To check prerequisites | brv status |
When to Use
Query when you need to understand something:
- "How does X work in this codebase?"
- "What patterns exist for Y?"
- "Are there conventions for Z?"
Curate when you learned or created something valuable:
- Implemented a feature using specific patterns
- Fixed a bug and found root cause
- Made an architecture decision
Curate Quality
Context must be specific and actionable:
# Good - specific, explains where and why
brv curate "Auth uses JWT 24h expiry, tokens in httpOnly cookies" -f src/auth.ts
# Bad - too vague
brv curate "Fixed auth"Note: Context argument must come before -f flags. Max 5 files.
Best Practices
- Break down large contexts - Run multiple
brv curatecommands for complex topics rather than one massive context. Smaller chunks are easier to retrieve and update. - Let ByteRover read files - Don't read files yourself before curating. Use
-fflags to let ByteRover read them directly:# Good - ByteRover reads the files brv curate "Auth implementation details" -f src/auth.ts -f src/middleware/jwt.ts # Wasteful - reading files twice # [agent reads files] then brv curate "..." -f same-files - Be specific in queries - Queries block your workflow. Use precise questions to get faster, more relevant results:
# Good - specific brv query "What validation library is used for API request schemas?" # Bad - vague, slow brv query "How is validation done?" - Signal outdated context - When curating updates that replace existing knowledge, explicitly tell ByteRover to clean up:
brv curate "OUTDATED: Previous auth used sessions. NEW: Now uses JWT with refresh tokens. Clean up old session-based auth context." -f src/auth.ts - Specify structure expectations - Guide ByteRover on how to organize the knowledge:
# Specify topics/domains brv curate "Create separate topics for: 1) JWT validation, 2) refresh token flow, 3) logout handling" -f src/auth.ts # Specify detail level brv curate "Document the error handling patterns in detail (at least 30 lines covering all error types)" -f src/errors/
Prerequisites
Run brv status first. If errors occur, the agent cannot fix them—instruct the user to take action in their brv terminal. See TROUBLESHOOTING.md for details.
See also: WORKFLOWS.md for detailed patterns and examples, TROUBLESHOOTING.md for error handling
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

