Illuminates all objects equally. No direction, no shadows.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionr3f-lightingExecute the skills CLI command in your project's root directory to begin installation:
Fetches r3f-lighting from enzed/r3f-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate r3f-lighting. Access via /r3f-lighting in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
63
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
63
stars
import { Canvas } from '@react-three/fiber'
function Scene() {
return (
<Canvas shadows>
{/* Ambient fill */}
<ambientLight intensity={0.5} />
{/* Main light with shadows */}
<directionalLight
position={[5, 5, 5]}
intensity={1}
castShadow
shadow-mapSize={[2048, 2048]}
/>
{/* Objects */}
<mesh castShadow receiveShadow>
<boxGeometry />
<meshStandardMaterial color="orange" />
</mesh>
{/* Ground */}
<mesh receiveShadow rotation={[-Math.PI / 2, 0, 0]} position={[0, -0.5, 0]}>
<planeGeometry args={[10, 10]} />
<meshStandardMaterial color="#888" />
</mesh>
</Canvas>
)
}
| Light | Description | Shadow Support | Cost |
|---|---|---|---|
| ambientLight | Uniform everywhere | No | Very Low |
| hemisphereLight | Sky/ground gradient | No | Very Low |
| directionalLight | Parallel rays (sun) | Yes | Low |
| pointLight | Omnidirectional (bulb) | Yes | Medium |
| spotLight | Cone-shaped | Yes | Medium |
| rectAreaLight | Area light (window) | No* | High |
Illuminates all objects equally. No direction, no shadows.
<ambientLight
color="#ffffff" // or color={new THREE.Color('#ffffff')}
intensity={0.5}
/>
Gradient from sky to ground. Good for outdoor scenes.
<hemisphereLight
color="#87ceeb" // Sky color
groundColor="#8b4513" // Ground color
intensity={0.6}
position={[0, 50, 0]}
/>
Parallel light rays. Simulates distant light (sun).
<directionalLight
color="#ffffff"
intensity={1}
position={[5, 10, 5]}
// Shadow configuration
castShadow
shadow-mapSize={[2048, 2048]}
shadow-camera-near={0.5}
shadow-camera-far={50}
shadow-camera-left={-10}
shadow-camera-right={10}
shadow-camera-top={10}
shadow-camera-bottom={-10}
shadow-bias={-0.0001}
shadow-normalBias={0.02}
/>
// With target (light points at target)
function DirectionalWithTarget() {
const lightRef = useRef()
return (
<>
<directionalLight
ref={lightRef}
position={[5, 10, 5]}
target-position={[0, 0, 0]}
/>
</>
)
}
Emits light in all directions. Like a light bulb.
<pointLight
color="#ffffff"
intensity={1}
position={[0, 5, 0]}
distance={100} // Maximum range (0 = infinite)
✓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
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share 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
Related Skills
grill-me
648mattpocock/skills
Productivitysame categorypremortem
214parcadei/continuous-claude-v3
Productivitysame categorydeslop
159cursor/plugins
Productivitysame categorytravel-planner
136ailabs-393/ai-labs-claude-skills
Productivitysame categoryframer-motion
131pproenca/dot-skills
Productivitysame categorywrite-a-prd
128mattpocock/skills
Productivitysame categoryReviews
4.6★★★★★65 reviews- AArya Bhatia★★★★★Dec 28, 2024
Registry listing for r3f-lighting matched our evaluation — installs cleanly and behaves as described in the markdown.
- SShikha Mishra★★★★★Dec 20, 2024
r3f-lighting fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- HHana Yang★★★★★Dec 16, 2024
Keeps context tight: r3f-lighting is the kind of skill you can hand to a new teammate without a long onboarding doc.
- MMichael Perez★★★★★Dec 16, 2024
r3f-lighting fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- EEvelyn Anderson★★★★★Dec 12, 2024
We added r3f-lighting from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- AAma Harris★★★★★Nov 19, 2024
r3f-lighting fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- RRahul Santra★★★★★Nov 11, 2024
Registry listing for r3f-lighting matched our evaluation — installs cleanly and behaves as described in the markdown.
- SSoo Martin★★★★★Nov 7, 2024
r3f-lighting has been reliable in day-to-day use. Documentation quality is above average for community skills.
- AAma Agarwal★★★★★Nov 7, 2024
Registry listing for r3f-lighting matched our evaluation — installs cleanly and behaves as described in the markdown.
- HHana Chen★★★★★Nov 3, 2024
r3f-lighting reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 65
1 / 7Discussion
Comments — not star reviews- No comments yet — start the thread.