byterover-headless
Query and curate knowledge-base using ByteRover CLI. Use `brv query` for knowledge retrieval, `brv curate` for adding context, and `brv push/pull` for syncing.
Install
mkdir -p .claude/skills/byterover-headless && curl -L -o skill.zip "https://mcp.directory/api/skills/download/4327" && unzip -o skill.zip -d .claude/skills/byterover-headless && rm skill.zipInstalls to .claude/skills/byterover-headless
About this skill
ByteRover Knowledge Management
Use the brv CLI to manage your own knowledgebase. ByteRover maintains a context tree that stores patterns, decisions, and implementation details about a project.
IMPORTANT: For headless/automated use, always add --headless --format json flags to get machine-parseable JSON output.
Setup (Headless)
- ByteRover can be fully set up in headless mode. If user has not logged in or initialized
.brv/in the current working directory (check viaprojectInitializedand andauthStatusinbrv status --headless --format jsonresponse), ask them to provide:
- API key - for authentication (obtain from https://app.byterover.dev/settings/keys)
- Team and space - names or IDs for project initialization
Login with API Key
Authenticate using an API key:
brv login --api-key <key>
Outputs text: Logged in as <email> on success.
Initialize Project
Initialize ByteRover for a project (requires team and space for headless mode - can use either ID or name):
# Using names
brv init --headless --team my-team --space my-space --format json
# Using IDs
brv init --headless --team team-abc123 --space space-xyz789 --format json
Force re-initialization:
brv init --headless --team my-team --space my-space --force --format json
Example response:
{
"success": true,
"command": "init",
"data": {
"status": "success",
"teamName": "MyTeam",
"spaceName": "MySpace",
"configPath": "/path/to/project/.brv/config.json"
}
}
Note: You can use either team/space names or IDs. Names are matched case-insensitively.
Check Status
Check the current status of ByteRover and the project:
brv status --headless --format json
Example response:
{
"success": true,
"command": "status",
"data": {
"cliVersion": "1.0.0",
"authStatus": "logged_in",
"userEmail": "user@example.com",
"projectInitialized": true,
"teamName": "MyTeam",
"spaceName": "MySpace",
"mcpStatus": "connected",
"contextTreeStatus": "has_changes"
}
}
Query Knowledge
Ask questions to retrieve relevant knowledge:
brv query "How is authentication implemented?" --headless --format json
Example response:
{
"success": true,
"command": "query",
"data": {
"status": "completed",
"result": "Authentication uses JWT tokens...",
"toolCalls": [{"tool": "search_knowledge", "status": "success", "summary": "5 matches"}]
}
}
Curate Context
Add new knowledge or context to the project's context tree:
brv curate "Auth uses JWT with 24h expiry. Tokens stored in httpOnly cookies via authMiddleware.ts" --headless --format json
Include specific files for comprehensive context (max 5 files):
brv curate "Authentication middleware validates JWT tokens" --files src/middleware/auth.ts --headless --format json
Example response:
{
"success": true,
"command": "curate",
"data": {
"status": "queued",
"taskId": "abc123",
"message": "Context queued for processing"
}
}
Push Context Tree
Push local context tree changes to ByteRover cloud storage:
brv push --headless --format json -y
The -y flag skips confirmation prompt (required for headless mode).
Push to a specific branch:
brv push --branch feature-branch --headless --format json -y
Example response:
{
"success": true,
"command": "push",
"data": {
"status": "success",
"added": 3,
"edited": 1,
"deleted": 0,
"branch": "main",
"url": "https://app.byterover.com/team/space"
}
}
Possible statuses:
success- Push completedno_changes- No context changes to pushcancelled- Push was cancellederror- Push failed
Pull Context Tree
Pull context tree from ByteRover cloud storage:
brv pull --headless --format json
Pull from a specific branch:
brv pull --branch feature-branch --headless --format json
Example response:
{
"success": true,
"command": "pull",
"data": {
"status": "success",
"added": 5,
"edited": 2,
"deleted": 1,
"branch": "main",
"commitSha": "abc123def"
}
}
Possible statuses:
success- Pull completedlocal_changes- Local changes exist, push firsterror- Pull failed
Error Handling
Always check the success field in JSON responses:
success: true- Operation completed successfullysuccess: false- Operation failed, checkdata.errorordata.messagefor details
Common error scenarios:
- Not authenticated: Run
brv login --api-key <key> - Project not initialized: Run
brv init --headless --team <team> --space <space> --format json - Local changes exist: Push local changes before pulling
Tips
- For pull and push operations, you should ask for user permission first.
- Always use
--headless --format jsonfor automation (exceptbrv loginwhich outputs text). - Check
brv status --headless --format jsonfirst to verify auth and project state. - For curate operations, include relevant files with
--filesfor better context. - Query responses may include tool call details showing what knowledge was searched.
- For push operations, always use
-yto skip confirmation in headless mode. For re-initialization, use-fto force re-initialization. - Pull will fail if there are unpushed local changes - push first.
More by openclaw
View all skills by openclaw →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
fastapi-templates
wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Related MCP Servers
Browse all serversAxiom Query: real-time AI querying and analysis of large datasets with Axiom Processing Language for faster, accurate in
Build persistent semantic networks for enterprise & engineering data management. Enable data persistence and memory acro
Explore official Google BigQuery MCP servers. Find resources and examples to build context-aware apps in Google's ecosys
Connect Supabase projects to AI with Supabase MCP Server. Standardize LLM communication for secure, efficient developmen
Safely connect cloud Grafana to AI agents with MCP: query, inspect, and manage Grafana resources using simple, focused o
Empower your CLI agents with NotebookLM—connect AI tools for citation-backed answers from your docs, grounded in your ow
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.