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byterover

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/)

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含まれるファイル(4)

  • SKILL.md3.6 KB
  • .clawhub/origin.json141 B
  • TROUBLESHOOTING.md1.3 KB
  • WORKFLOWS.md10.2 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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

CommandWhenExample
brv query "question"Before starting workbrv query "How is auth implemented?"
brv curate "context" -f fileAfter completing workbrv curate "JWT 24h expiry" -f auth.ts
brv statusTo check prerequisitesbrv 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

  1. Break down large contexts - Run multiple brv curate commands for complex topics rather than one massive context. Smaller chunks are easier to retrieve and update.

  2. Let ByteRover read files - Don't read files yourself before curating. Use -f flags 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
    
  3. 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?"
    
  4. 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
    
  5. 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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