byterover▌
junsuzuki1973/openclaw-skill-byterover · updated Apr 23, 2026
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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.
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--teamand--space)brv statusbrv querybrv curatebrv push(auto-skips confirmation)brv pull
Output Formats
Use --format to control output:
text(default): Human-readable text outputjson: 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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches byterover from GitHub repository junsuzuki1973/openclaw-skill-byterover and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★47 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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