core-components
Use components from your core library instead of raw platform components. This ensures consistent styling and behavior.
Works with
0
total installs
0
this week
24.2K
GitHub stars
0
upvotes
Install Skill
Run in your terminal
0
installs
0
this week
24.2K
stars
Installation Guide
How to use core-components 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 machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
core-components
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches core-components from davila7/claude-code-templates and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate core-components. Access via /core-components in your agent's command palette.
Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Core Components
Design System Overview
Use components from your core library instead of raw platform components. This ensures consistent styling and behavior.
Design Tokens
NEVER hard-code values. Always use design tokens.
Spacing Tokens
// CORRECT - Use tokens
<Box padding="$4" marginBottom="$2" />
// WRONG - Hard-coded values
<Box padding={16} marginBottom={8} />
| Token | Value |
|---|---|
$1 |
4px |
$2 |
8px |
$3 |
12px |
$4 |
16px |
$6 |
24px |
$8 |
32px |
Color Tokens
// CORRECT - Semantic tokens
<Text color="$textPrimary" />
<Box backgroundColor="$backgroundSecondary" />
// WRONG - Hard-coded colors
<Text color="#333333" />
<Box backgroundColor="rgb(245, 245, 245)" />
| Semantic Token | Use For |
|---|---|
$textPrimary |
Main text |
$textSecondary |
Supporting text |
$textTertiary |
Disabled/hint text |
$primary500 |
Brand/accent color |
$statusError |
Error states |
$statusSuccess |
Success states |
Typography Tokens
<Text fontSize="$lg" fontWeight="$semibold" />
| Token | Size |
|---|---|
$xs |
12px |
$sm |
14px |
$md |
16px |
$lg |
18px |
$xl |
20px |
$2xl |
24px |
Core Components
Box
Base layout component with token support:
<Box
padding="$4"
backgroundColor="$backgroundPrimary"
borderRadius="$lg"
>
{children}
</Box>
HStack / VStack
Horizontal and vertical flex layouts:
<HStack gap="$3" alignItems="center">
<Icon name="user" />
<Text>Username</Text>
</HStack>
<VStack gap="$4" padding="$4">
<Heading>Title</Heading>
<Text>Content</Text>
</VStack>
Text
Typography with token support:
<Text
fontSize="$lg"
fontWeight="$semibold"
color="$textPrimary"
>
Hello World
</Text>
Button
Interactive button with variants:
<Button
onPress={handlePress}
variant="solid"
size="md"
isLoading={loading}
isDisabled={disabled}
>
Click Me
</Button>
| Variant | Use For |
|---|---|
solid |
Primary actions |
outline |
Secondary actions |
ghost |
Tertiary/subtle actions |
link |
Inline actions |
Input
Form input with validation:
<Input
value={value}
onChangeText={setValue}
placeholder="Enter text"
error={touched ? errors.field : undefined}
label="Field Name"
/>
Card
Content container:
<Card padding="$4" gap="$3">
<CardHeader>
<Heading size="sm">Card Title</Heading>
</CardHeader>
<CardBody>
<Text>Card content</Text>
</CardBody>
</Card>
Layout Patterns
Screen Layout
const MyScreen = () => (
<Screen>
<ScreenHeader title="Page Title" />
<ScreenContent padding=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
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
ml-paper-writing
66davila7/claude-code-templates
grill-me
386mattpocock/skills
premortem
197parcadei/continuous-claude-v3
deslop
118cursor/plugins
framer-motion
98pproenca/dot-skills
write-a-prd
91mattpocock/skills
Reviews
- DDiego Singh★★★★★Dec 8, 2024
Useful defaults in core-components — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- EEvelyn Agarwal★★★★★Dec 4, 2024
core-components fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- MMei Kim★★★★★Dec 4, 2024
core-components is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- NNikhil Huang★★★★★Nov 27, 2024
I recommend core-components for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- MMateo Verma★★★★★Nov 27, 2024
Solid pick for teams standardizing on skills: core-components is focused, and the summary matches what you get after install.
- FFatima Kim★★★★★Nov 23, 2024
Registry listing for core-components matched our evaluation — installs cleanly and behaves as described in the markdown.
- AAva Srinivasan★★★★★Nov 23, 2024
Keeps context tight: core-components is the kind of skill you can hand to a new teammate without a long onboarding doc.
- FFatima Agarwal★★★★★Nov 19, 2024
We added core-components from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- FFatima Patel★★★★★Nov 11, 2024
core-components fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AAmina Patel★★★★★Oct 18, 2024
core-components reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 63
Discussion
Comments — not star reviews- No comments yet — start the thread.