byterover

junsuzuki1973/openclaw-skill-byterover · updated Apr 23, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/junsuzuki1973/openclaw-skill-byterover --skill byterover
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summary

ByteRover is a context engineering platform that lets you curate context for your coding agents—patterns, decisions, and learnings. It automatically syncs context across team members and eliminates manual markdown file management.

skill.md

ByteRover CLI - Context Engineering Platform

ByteRover is a context engineering platform that lets you curate context for your coding agents—patterns, decisions, and learnings. It automatically syncs context across team members and eliminates manual markdown file management.

Configuration

API credentials are stored in ~/.clawdbot/byterover-config.json:

{
  "apiKey": "your_byterover_api_key_here",
  "team": "your_team_name",
  "space": "your_space_name"
}

Docker-Based Usage

ByteRover CLI requires Node.js 20+ and libsecret for credential storage. This skill uses Docker to provide an isolated environment with all dependencies.

Start ByteRover Container

cd ~/.openclaw/workspace/skills/byterover
docker-compose up -d

Run Commands in Container

Login with API Key:

docker-compose exec byterover brv login --api-key $BRV_API_KEY

Initialize Project:

docker-compose exec byterover brv init --headless --team "$BRV_TEAM" --space "$BRV_SPACE"

Check Status:

docker-compose exec byterover brv status --headless --format json

Query Context:

docker-compose exec byterover brv query "What are the testing strategies?" --headless --format json

Curate Context:

docker-compose exec byterover brv curate "Make sure to document API authentication patterns" --headless --format json

Push Changes:

docker-compose exec byterover brv push --headless --format json

Pull Changes:

docker-compose exec byterover brv pull --headless --format json

Headless Mode

ByteRover CLI supports headless mode for automation and scripting. Headless mode disables interactive prompts and supports machine-readable JSON output.

Supported Commands with --headless

  • brv init (requires --team and --space)
  • brv status
  • brv query
  • brv curate
  • brv push (auto-skips confirmation)
  • brv pull

Output Formats

Use --format to control output:

  • text (default): Human-readable text output
  • json: NDJSON (newline-delimited JSON) for machine parsing

API Key Authentication

Instead of OAuth browser flow, use API key for headless environments:

brv login --api-key $BRV_API_KEY

Context Tree

The Context Tree is ByteRover's structured knowledge system that organizes project context into domains:

  • Structure - Project architecture and patterns
  • Database - Schema, migrations, relationships
  • Backend - API endpoints, business logic
  • Frontend - UI components, state management
  • Testing - Test strategies, fixtures
  • Deployment - Infrastructure, CI/CD
  • Documentation - Guides, API docs

Usage Examples

For AI Coding Agents

Prompt your coding agent:

Use brv query command to check what authentication patterns are used in this project

Agent will execute:

brv query "What authentication patterns are used?" --headless --format json

Manual Usage

Check project status:

~/.openclaw/workspace/skills/byterover/docker-compose exec byterover brv status

Add context from terminal:

~/.openclaw/workspace/skills/byterover/docker-compose exec byterover brv curate "Document the API rate limiting strategy"

Query specific knowledge:

~/.openclaw/workspace/skills/byterover/docker-compose exec byterover brv query "How do we handle rate limiting?"

Helper Scripts

Quick Status Check

#!/bin/bash
# ~/.openclaw/workspace/skills/byterover/scripts/status.sh

CONFIG=$(cat ~/.clawdbot/byterover-config.json)
API_KEY=$(echo "$CONFIG" | jq -r '.apiKey')
TEAM=$(echo "$CONFIG" | jq -r '.team')
SPACE=$(echo "$CONFIG" | jq -r '.space')

cd ~/.openclaw/workspace/skills/byterover
BRV_API_KEY="$API_KEY" BRV_TEAM="$TEAM" BRV_SPACE="$SPACE" \
  docker-compose exec -T byterover brv status --headless --format json

Query Context

#!/bin/bash
# ~/.openclaw/workspace/skills/byterover/scripts/query.sh

QUERY="${1:-project overview}"
CONFIG=$(cat ~/.clawdbot/byterover-config.json)
API_KEY=$(echo "$CONFIG" | jq -r '.apiKey')
TEAM=$(echo "$CONFIG" | jq -r '.team')
SPACE=$(echo "$CONFIG" | jq -r '.space')

cd ~/.openclaw/workspace/skills/byterover
BRV_API_KEY="$API_KEY" BRV_TEAM="$TEAM" BRV_SPACE="$SPACE" \
  docker-compose exec -T byterover brv query "$QUERY" --headless --format json

Add Context

#!/bin/bash
# ~/.openclaw/workspace/skills/byterover/scripts/curate.sh

CONTEXT="${1}"
CONFIG=$(cat ~/.clawdbot/byterover-config.json)
API_KEY=$(echo "$CONFIG" | jq -r '.apiKey')
TEAM=$(echo "$CONFIG" | jq -r '.team')
SPACE=$(echo "$CONFIG" | jq -r '.space')

cd ~/.openclaw/workspace/skills/byterover
BRV_API_KEY="$API_KEY" BRV_TEAM="$TEAM" BRV_SPACE="$SPACE" \
  docker-compose exec -T byterover brv curate "$CONTEXT" --headless --format json

Sync Changes

#!/bin/bash
# ~/.openclaw/workspace/skills/byterover/scripts/sync.sh

CONFIG=$(cat ~/.clawdbot/byterover-config.json)
API_KEY=$(echo "$CONFIG" | jq -r '.apiKey')
TEAM=$(echo "$CONFIG" | jq -r '.team')
SPACE=$(echo "$CONFIG" | jq -r '.space')

cd ~/.openclaw/workspace/skills/byterover

echo "Pulling latest context..."
BRV_API_KEY="$API_KEY" BRV_TEAM="$TEAM" BRV_SPACE="$SPACE" \
  docker-compose exec -T byterover brv pull --headless --format json

echo "Pushing local changes..."
BRV_API_KEY="$API_KEY" BRV_TEAM="$TEAM" BRV_SPACE="$SPACE" \
  docker-compose exec -T byterover brv push --headless --format json

Docker Management

Build image:

cd ~/.openclaw/workspace/skills/byterover
docker-compose build

Start container:

docker-compose up -d

Stop container:

docker-compose down

View logs:

docker-compose logs -f

how to use byterover

How to use byterover on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add byterover
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/junsuzuki1973/openclaw-skill-byterover --skill byterover

The skills CLI fetches byterover from GitHub repository junsuzuki1973/openclaw-skill-byterover and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/byterover

Reload or restart Cursor to activate byterover. Access the skill through slash commands (e.g., /byterover) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.747 reviews
  • Yusuf Gupta· Dec 4, 2024

    We added byterover from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yash Thakker· Nov 27, 2024

    Registry listing for byterover matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Anaya Torres· Nov 23, 2024

    byterover reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yusuf Tandon· Nov 23, 2024

    Solid pick for teams standardizing on skills: byterover is focused, and the summary matches what you get after install.

  • Dhruvi Jain· Oct 18, 2024

    byterover reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zaid Mehta· Oct 18, 2024

    Keeps context tight: byterover is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Daniel Iyer· Oct 14, 2024

    Registry listing for byterover matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yuki Malhotra· Oct 14, 2024

    byterover has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Zaid Khan· Sep 25, 2024

    byterover has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Piyush G· Sep 5, 2024

    byterover has been reliable in day-to-day use. Documentation quality is above average for community skills.

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