dash-cogInteractive dashboards and apps powered by CellCog. Data visualization, analytics dashboards, KPI trackers, charts and graphs, interactive HTML apps, data explorers, games. Build web apps with AI.
Install via ClawdBot CLI:
clawdbot install nitishgargiitd/dash-cogBuild interactive dashboards, data visualizations, and web apps with AI.
This skill requires the cellcog skill for SDK setup and API calls.
clawhub install cellcog
Read the cellcog skill first for SDK setup. This skill shows you what's possible.
Quick pattern (v1.0+):
# Fire-and-forget - returns immediately
result = client.create_chat(
prompt="[your dashboard/app request]",
notify_session_key="agent:main:main",
task_label="dashboard-task",
chat_mode="agent" # Agent mode handles most dashboards well
)
# Daemon notifies you when complete - do NOT poll
Interactive dashboards for data analysis:
Monitor key performance indicators:
Interactive charts and graphs:
Tools for exploring datasets:
Web applications beyond dashboards:
Simple web-based games:
CellCog dashboards can include:
| Feature | Description |
|---------|-------------|
| Interactive Charts | Line, bar, pie, scatter, area, heatmaps, treemaps, and more |
| Filters | Date ranges, dropdowns, search, multi-select |
| KPI Cards | Key metrics with trends and comparisons |
| Data Tables | Sortable, searchable, paginated tables |
| Drill-Down | Click to explore deeper levels of data |
| Responsive Design | Works on desktop, tablet, and mobile |
| Dark/Light Themes | Automatic theme support |
You can provide data via:
Choose based on complexity:
| Scenario | Recommended Mode |
|----------|------------------|
| Standard dashboards, KPI trackers, data visualizations, charts | "agent" |
| Complex interactive apps, games, novel data explorers | "agent team" |
Default to "agent" for most dashboard requests. CellCog's agent mode handles charts, tables, filters, and interactivity efficiently.
Reserve "agent team" for truly complex applications requiring significant design thinkingβlike building a novel game mechanic or a highly customized analytical tool with multiple interconnected features.
Sales analytics dashboard:
"Create an interactive sales analytics dashboard with:
- KPI cards: Total Revenue, Orders, Average Order Value, Growth Rate
- Line chart: Monthly revenue trend (last 12 months)
- Bar chart: Revenue by product category
- Pie chart: Sales by region
- Data table: Top 10 products by revenue
Include date range filter. Use this data: [upload CSV or describe data]
Modern, professional design with blue color scheme."
Startup metrics dashboard:
"Build a SaaS metrics dashboard for a startup showing:
- MRR and growth rate
- Customer acquisition funnel (visitors β signups β trials β paid)
- Churn rate trend
- LTV:CAC ratio
- Revenue by plan tier
Generate realistic sample data for a B2B SaaS company growing from $10K to $100K MRR over 12 months."
Interactive data explorer:
"Create an interactive explorer for this employee dataset [upload CSV]. Include:
- Searchable, sortable data table
- Filters for department, location, tenure
- Charts: headcount by department, salary distribution, tenure histogram
- Summary statistics panel
Allow users to download filtered data as CSV."
Simple game:
"Create a Wordle-style word guessing game. 5-letter words, 6 attempts, color feedback (green = correct position, yellow = wrong position, gray = not in word). Include keyboard, game statistics, and share results feature. Clean, modern design."
Generated Mar 1, 2026
This scenario involves building an interactive dashboard for sales teams to monitor revenue trends, product performance, and regional breakdowns. It includes KPI cards, line charts for monthly trends, bar charts by category, and filters for date ranges, enabling real-time decision-making and performance tracking.
This scenario focuses on creating a dashboard for SaaS companies to track key metrics like MRR, churn rate, LTV:CAC ratio, and customer acquisition funnels. It uses sample data to visualize growth from $10K to $100K MRR, helping startups monitor financial health and optimize subscription models.
This scenario builds a dashboard for marketing teams to analyze campaign ROI, channel attribution, and conversion funnels. It includes interactive charts and filters to assess marketing spend effectiveness, supporting data-driven strategy adjustments and budget allocation.
This scenario involves developing a dashboard for finance departments to visualize P&L statements, cash flow, and key financial ratios. It provides interactive tables and charts for budgeting and forecasting, aiding in financial reporting and compliance monitoring.
This scenario creates a dashboard for HR teams to track headcount trends, attrition rates, and department breakdowns. It includes data explorers with filtering and sorting capabilities, helping optimize workforce planning and employee retention strategies.
This model generates recurring revenue through monthly or annual subscriptions, with dashboards tracking MRR, churn, and customer lifetime value. It relies on upselling and retention strategies, making it ideal for startups needing scalable analytics tools.
This model involves selling products online, with dashboards monitoring sales, inventory, and customer behavior. Revenue comes from direct sales and cross-selling, requiring real-time data visualization to optimize pricing and marketing campaigns.
This model offers data analytics and dashboard development as a service, with revenue from project-based fees or retainer contracts. It targets businesses needing custom visualizations, leveraging dashboards to demonstrate value and insights to clients.
π¬ Integration Tip
Install the cellcog skill first for SDK setup, then use agent chat mode for most dashboards to handle charts and interactivity efficiently without polling.
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