Terminal.skills
Skills/understand-dashboard
>

understand-dashboard

Launch an interactive web dashboard to visualize a codebase as a knowledge graph. Use when: exploring project architecture visually, seeing file/function dependencies, understanding code structure at a glance.

#codebase#knowledge-graph#visualization#dashboard#architecture
terminal-skillsv1.0.0
Works with:claude-codeopenai-codexgemini-clicursor
Source

Usage

$
✓ Installed understand-dashboard v1.0.0

Getting Started

  1. Install the skill using the command above
  2. Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
  3. Reference the skill in your prompt
  4. The AI will use the skill's capabilities automatically

Example Prompts

  • "Review the open pull requests and summarize what needs attention"
  • "Generate a changelog from the last 20 commits on the main branch"

Information

Version
1.0.0
Author
terminal-skills
Category
Development
License
MIT

Documentation

Overview

Launch an interactive web dashboard that visualizes a codebase's knowledge graph as a force-directed node graph. The dashboard provides layer views, dependency exploration, complexity heatmaps, and search filtering, all served locally via Vite.

Instructions

  1. Determine the project directory:

    • If $ARGUMENTS contains a path, use that as the project directory
    • Otherwise, use the current working directory
  2. Check that .understand-anything/knowledge-graph.json exists in the project directory. If not, tell the user:

    No knowledge graph found. Run /understand first to analyze this project.
    
  3. Find the dashboard code. The dashboard is at packages/dashboard/ relative to this plugin's root directory. Use the Bash tool to resolve the path:

    bash
    PLUGIN_ROOT="$(cd "$(dirname "$0")/../.." && pwd)"
    

    Or locate it by checking these paths in order:

    • ${CLAUDE_PLUGIN_ROOT}/packages/dashboard/
    • The parent directory of this skill file, then ../../packages/dashboard/
  4. Install dependencies and build if needed:

    bash
    cd <dashboard-dir> && pnpm install --frozen-lockfile 2>/dev/null || pnpm install
    

    Then ensure the core package is built (the dashboard depends on it):

    bash
    cd <plugin-root> && pnpm --filter @understand-anything/core build
    
  5. Start the Vite dev server pointing at the project's knowledge graph:

    bash
    cd <dashboard-dir> && GRAPH_DIR=<project-dir> npx vite --open
    

    Run this in the background so the user can continue working.

  6. Report to the user:

    Dashboard started at http://localhost:5173
    Viewing: <project-dir>/.understand-anything/knowledge-graph.json
    
    The dashboard is running in the background. Press Ctrl+C in the terminal to stop it.
    

Examples

Example 1: Launching the dashboard for the current project

User: /understand-dashboard

The agent verifies .understand-anything/knowledge-graph.json exists in the current directory, resolves the dashboard package path at packages/dashboard/, installs dependencies with pnpm install, builds the core package, and starts the Vite dev server with GRAPH_DIR=$(pwd) npx vite --open. The browser opens to http://localhost:5173 showing the interactive graph with 47 nodes across 5 architectural layers.

Example 2: Launching the dashboard for a specific project path

User: /understand-dashboard ~/projects/my-api

The agent checks that ~/projects/my-api/.understand-anything/knowledge-graph.json exists, then starts the dashboard with GRAPH_DIR=~/projects/my-api. The user sees the knowledge graph for their API project rendered in the browser, with nodes color-coded by layer and sized by complexity score.

Guidelines

  • Always verify the knowledge graph file exists before attempting to start the dashboard
  • Run the Vite server in the background so the user can continue working in the terminal
  • If port 5173 is occupied, Vite automatically picks the next available port; report the actual URL
  • Ensure the core package is built before starting the dashboard since it depends on @understand-anything/core
  • The GRAPH_DIR environment variable tells the dashboard where to find the knowledge graph file