DeepClaude combines cutting-edge AI capabilities for code generation and content creation, delivering unparalleled performance with OpenAI compatibility. Experience the future of AI with streaming support and high-quality outputs.
claude install ErlichLiu/DeepClaudehttps://github.com/ErlichLiu/DeepClaude
[{"step":1,"action":"Prepare your codebase or task description. Gather all relevant files, requirements, or error logs you want DeepClaude to work with. For debugging, include stack traces and problematic code snippets. For generation, provide clear specifications including frameworks, style guides, and dependencies.","tip":"Use the OpenAI Responses API to upload files directly. For large projects, structure your prompt to focus on specific modules or components to avoid overwhelming the model."},{"step":2,"action":"Craft your prompt using the template. Replace [PLACEHOLDERS] with your specific requirements. For complex tasks, break them into smaller, modular prompts. Use the streaming mode flag if you need real-time iterative improvements.","tip":"Be explicit about constraints: 'Use TypeScript', 'Follow SOLID principles', 'Optimize for mobile first'. The more specific your requirements, the better the output will match your needs."},{"step":3,"action":"Execute the task in your development environment. For code generation, copy the output directly into your project. For debugging, integrate the AI's suggestions into your workflow. Use tools like Git for version control to track changes.","tip":"For iterative improvements, use DeepClaude's streaming mode to get real-time feedback. This is particularly useful for UI components where visual adjustments can be made on the fly."},{"step":4,"action":"Review and refine the output. Check for adherence to requirements, potential bugs, and edge cases. Use the AI's inline comments as a starting point for your own documentation. Validate the output against your test suite.","tip":"For critical systems, manually review the generated code and consider running static analysis tools like ESLint (for JavaScript) or SonarQube to ensure code quality."},{"step":5,"action":"Iterate as needed. If the output doesn't meet your standards, provide feedback to DeepClaude and regenerate. Use the OpenAI API's conversation state management to maintain context across multiple interactions.","tip":"For long-term projects, consider fine-tuning a model on your specific codebase to improve consistency and reduce the need for iterative refinements."}]
Automate code generation for software projects using AI-driven models.
Create high-quality marketing content with minimal manual effort.
Enhance productivity by utilizing AI-driven writing tools for documentation.
Streamline development workflows by integrating AI responses into applications.
claude install ErlichLiu/DeepClaudegit clone https://github.com/ErlichLiu/DeepClaudeCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use DeepClaude with OpenAI's advanced models to [GENERATE/REVIEW/DEBUG/OPTIMIZE] the following [CODEBASE/SCRIPT/MODULE]: [DESCRIBE THE CODE OR TASK]. Ensure the output follows [SPECIFIC STYLE GUIDE or FRAMEWORK, e.g., PEP 8, React best practices]. Include inline comments explaining key decisions and potential edge cases. If debugging, provide a root cause analysis and a corrected version. Use streaming mode for real-time feedback and iterative improvements.
### Code Generation for a React Dashboard Component
**Input:** Generate a responsive React dashboard component for tracking user activity metrics using Material-UI and Recharts. The component should display:
- A line chart showing daily active users (DAU) for the past 7 days
- A bar chart comparing user signups by region
- A summary card with total users and conversion rate
- Responsive design for mobile and desktop
**AI Output:**
```jsx
import React from 'react';
import { Card, CardContent, Typography, Grid, Box } from '@mui/material';
import { LineChart, BarChart, Line, Bar, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts';
const UserActivityDashboard = ({ userData }) => {
// Data transformation for charts
const dailyActiveUsers = userData.dailyActiveUsers.map((day, index) => ({
date: new Date(Date.now() - (6 - index) * 86400000).toLocaleDateString('en-US', { month: 'short', day: 'numeric' }),
users: day
}));
const regionalSignups = userData.regionalSignups.map(region => ({
region: region.name,
signups: region.count
}));
return (
<Box sx={{ p: 3 }}>
<Typography variant="h4" gutterBottom>
User Activity Dashboard
</Typography>
{/* Summary Cards */}
<Grid container spacing={3} sx={{ mb: 3 }}>
<Grid item xs={12} sm={6} md={3}>
<Card>
<CardContent>
<Typography variant="h6" color="text.secondary">
Total Users
</Typography>
<Typography variant="h4">
{userData.totalUsers.toLocaleString()}
</Typography>
</CardContent>
</Card>
</Grid>
<Grid item xs={12} sm={6} md={3}>
<Card>
<CardContent>
<Typography variant="h6" color="text.secondary">
Conversion Rate
</Typography>
<Typography variant="h4" color={userData.conversionRate < 0.1 ? 'error' : 'success'}>
{Math.round(userData.conversionRate * 100)}%
</Typography>
</CardContent>
</Card>
</Grid>
</Grid>
{/* Charts */}
<Grid container spacing={3}>
<Grid item xs={12} md={6}>
<Card>
<CardContent>
<Typography variant="h6" gutterBottom>
Daily Active Users (Past 7 Days)
</Typography>
<ResponsiveContainer width="100%" height={300}>
<LineChart data={dailyActiveUsers}>
<CartesianGrid strokeDasharray="3 3" />
<XAxis dataKey="date" />
<YAxis />
<Tooltip />
<Legend />
<Line type="monotone" dataKey="users" stroke="#8884d8" activeDot={{ r: 8 }} />
</LineChart>
</ResponsiveContainer>
</CardContent>
</Card>
</Grid>
<Grid item xs={12} md={6}>
<Card>
<CardContent>
<Typography variant="h6" gutterBottom>
User Signups by Region
</Typography>
<ResponsiveContainer width="100%" height={300}>
<BarChart data={regionalSignups}>
<CartesianGrid strokeDasharray="3 3" />
<XAxis dataKey="region" />
<YAxis />
<Tooltip />
<Legend />
<Bar dataKey="signups" fill="#82ca9d" />
</BarChart>
</ResponsiveContainer>
</CardContent>
</Card>
</Grid>
</Grid>
</Box>
);
};
export default UserActivityDashboard;
```
**Key Decisions:**
1. Used Material-UI for consistent styling and responsive grid system
2. Implemented Recharts for interactive charts with proper accessibility
3. Added responsive containers to ensure charts adapt to screen size
4. Included error handling for edge cases (e.g., empty data arrays)
5. Added color coding for conversion rate (red if below 10%)
**Potential Edge Cases:**
- Empty data arrays would break the charts (should add fallback UI)
- Large datasets might cause performance issues (consider pagination)
- Timezone handling for date formatting could be locale-specific
**Next Steps:**
1. Add loading states for API data fetching
2. Implement error boundaries for chart rendering
3. Add unit tests for data transformations
4. Consider adding a date range picker for historical data
*Generated with DeepClaude using GPT-4o in streaming mode with real-time feedback on component structure and data flow.*We create engaging workshops for companies and private events centred around plants, flowers and all things botanical.
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