LaunchKit · 2026
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Interactive dashboards and apps powered by CellCog.

6
2.5k downloads
by @nitishgargiitd

Setup & Installation

openclaw skills install @nitishgargiitd/dash-cog

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install dash-cog

Version History

v1.0.2Feb 11, 2026 - Version note by skill developer:

- Added author and dependencies fields to metadata for improved clarity and compatibility. - Updated CellCog skill requirement details for consistency in the prerequisites section. - No functional changes to code; documentation update only.

What This Skill Does

Dash Cog builds interactive dashboards, data visualizations, and web apps by sending prompts to the CellCog AI backend. Supports analytics dashboards, KPI trackers, charts, dataset explorers, calculators, and simple browser games. Depends on the cellcog skill for API connectivity.

Produces complete, interactive HTML apps from plain-text prompts without writing any frontend code.

When to use it

  • Building a sales analytics dashboard with revenue trends and regional breakdowns
  • Tracking SaaS metrics like MRR, churn rate, and LTV:CAC ratio over time
  • Exploring a CSV dataset with interactive filters, sorting, and summary charts
  • Creating an ROI calculator with adjustable inputs and visual output
  • Generating a Wordle-style word game with scoring and a virtual keyboard

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Build a SaaS metrics dashboard showing MRR growth, churn rate trend, and LTV:CAC ratio with realistic sample data for a B2B company growing from $10K to $100K MRR over 12 months

AGENT
  1. 1Constructs a structured prompt from the user request
  2. 2Calls client.create_chat() with chat_mode='agent' and a notify_session_key
  3. 3CellCog agent generates the full interactive HTML dashboard with KPI cards and charts
  4. 4Daemon sends a session notification when the build is complete
  5. 5Returns the dashboard artifact for the user to open in a browser
OUTPUT

An interactive HTML dashboard with MRR trend line, churn rate chart, and LTV:CAC ratio card populated with generated sample data