openhue▌
steipete/clawdis · updated May 5, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Use openhue to control Philips Hue lights and scenes via a Hue Bridge.
OpenHue CLI
Use openhue to control Philips Hue lights and scenes via a Hue Bridge.
When to Use
✅ USE this skill when:
- "Turn on/off the lights"
- "Dim the living room lights"
- "Set a scene" or "movie mode"
- Controlling specific Hue rooms or zones
- Adjusting brightness, color, or color temperature
When NOT to Use
❌ DON'T use this skill when:
- Non-Hue smart devices (other brands) → not supported
- HomeKit scenes or Shortcuts → use Apple's ecosystem
- TV or entertainment system control
- Thermostat or HVAC
- Smart plugs (unless Hue smart plugs)
Common Commands
List Resources
openhue get light # List all lights
openhue get room # List all rooms
openhue get scene # List all scenes
Control Lights
# Turn on/off
openhue set light "Bedroom Lamp" --on
openhue set light "Bedroom Lamp" --off
# Brightness (0-100)
openhue set light "Bedroom Lamp" --on --brightness 50
# Color temperature (warm to cool: 153-500 mirek)
openhue set light "Bedroom Lamp" --on --temperature 300
# Color (by name or hex)
openhue set light "Bedroom Lamp" --on --color red
openhue set light "Bedroom Lamp" --on --rgb "#FF5500"
Control Rooms
# Turn off entire room
openhue set room "Bedroom" --off
# Set room brightness
openhue set room "Bedroom" --on --brightness 30
Scenes
# Activate scene
openhue set scene "Relax" --room "Bedroom"
openhue set scene "Concentrate" --room "Office"
Quick Presets
# Bedtime (dim warm)
openhue set room "Bedroom" --on --brightness 20 --temperature 450
# Work mode (bright cool)
openhue set room "Office" --on --brightness 100 --temperature 250
# Movie mode (dim)
openhue set room "Living Room" --on --brightness 10
Notes
- Bridge must be on local network
- First run requires button press on Hue bridge to pair
- Colors only work on color-capable bulbs (not white-only)
How to use openhue 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 openhue
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches openhue from GitHub repository steipete/clawdis 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 openhue. Access the skill through slash commands (e.g., /openhue) 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
4.5★★★★★56 reviews- ★★★★★Shikha Mishra· Dec 24, 2024
Registry listing for openhue matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Chinedu Harris· Dec 24, 2024
Solid pick for teams standardizing on skills: openhue is focused, and the summary matches what you get after install.
- ★★★★★Hassan Chen· Dec 20, 2024
openhue fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Evelyn Ramirez· Dec 20, 2024
Keeps context tight: openhue is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ira Thomas· Dec 8, 2024
Registry listing for openhue matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Amina Martin· Nov 27, 2024
Solid pick for teams standardizing on skills: openhue is focused, and the summary matches what you get after install.
- ★★★★★Yash Thakker· Nov 15, 2024
Solid pick for teams standardizing on skills: openhue is focused, and the summary matches what you get after install.
- ★★★★★Mia Diallo· Nov 15, 2024
Registry listing for openhue matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Aanya Park· Nov 11, 2024
We added openhue from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Li Srinivasan· Nov 11, 2024
openhue has been reliable in day-to-day use. Documentation quality is above average for community skills.
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