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byterover

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.

byteroverinc0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install byteroverinc/byterover

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

ByteRover Knowledge Management

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.

Workflow

  1. Before Thinking: Run brv query to understand existing patterns.
  2. After Implementing: Run brv curate to save new patterns/decisions.

Commands

1. Query Knowledge

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:

  • The user wants you to recall something
  • Your context does not contain information you need
  • You need to recall your capabilities or past actions
  • Before performing any action, to check for relevant rules, criteria, or preferences

Do NOT use this skill when:

  • The information is already present in your current context
  • The query is about general knowledge, not stored memory
brv query "How is authentication implemented?"
2. Curate Context

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:

  • The user wants you to remember something
  • The user intentionally curates memory or knowledge
  • There are meaningful memories from user interactions that should be persisted
  • There are important facts about what you do, what you know, or what decisions and actions you have taken

Do NOT use this skill when:

  • The information is already stored and unchanged
  • The information is transient or only relevant to the current task, or just general knowledge
brv curate "Auth uses JWT with 24h expiry. Tokens stored in httpOnly cookies via aut...

Source information

Source
github
Repository
openclaw/skills
Path
skills/byteroverinc/byterover
Version
—
Commit
af015d1c75128fa5d61d0555e90a1532e613dac7
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# ByteRover Knowledge Management

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.

## Workflow
1.  **Before Thinking:** Run `brv query` to understand existing patterns.
2.  **After Implementing:** Run `brv curate` to save new patterns/decisions.

## Commands

### 1. Query Knowledge
**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:**
- The user wants you to recall something
- Your context does not contain information you need
- You need to recall your capabilities or past actions
- Before performing any action, to check for relevant rules, criteria, or preferences

**Do NOT use this skill when:**
- The information is already present in your current context
- The query is about general knowledge, not stored memory

```bash
brv query "How is authentication implemented?"
```

### 2. Curate Context
**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:**
- The user wants you to remember something
- The user intentionally curates memory or knowledge
- There are meaningful memories from user interactions that should be persisted
- There are important facts about what you do, what you know, or what decisions and actions you have taken

**Do NOT use this skill when:**
- The information is already stored and unchanged
- The information is transient or only relevant to the current task, or just general knowledge

```bash
brv curate "Auth uses JWT with 24h expiry. Tokens stored in httpOnly cookies via aut...

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