/understand-dashboard
Start the Understand Anything dashboard to visualize the knowledge graph for the current project.
Best use case
/understand-dashboard is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Start the Understand Anything dashboard to visualize the knowledge graph for the current project.
Teams using /understand-dashboard should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/understand-dashboard/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How /understand-dashboard Compares
| Feature / Agent | /understand-dashboard | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Start the Understand Anything dashboard to visualize the knowledge graph for the current project.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# /understand-dashboard
Start the Understand Anything dashboard to visualize the knowledge graph for the current project.
## 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 if needed:
```bash
cd <dashboard-dir> && pnpm install --frozen-lockfile 2>/dev/null || pnpm install
```
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.
```
## Notes
- The dashboard auto-opens in the default browser via `--open`
- If port 5173 is already in use, Vite will pick the next available port
- The `GRAPH_DIR` environment variable tells the dashboard where to find the knowledge graphRelated Skills
grafana-dashboard-creator
Grafana Dashboard Creator - Auto-activating skill for DevOps Advanced. Triggers on: grafana dashboard creator, grafana dashboard creator Part of the DevOps Advanced skill category.
dashboard-layout-planner
Dashboard Layout Planner - Auto-activating skill for Data Analytics. Triggers on: dashboard layout planner, dashboard layout planner Part of the Data Analytics skill category.
creating-apm-dashboards
Execute this skill enables AI assistant to create application performance monitoring (apm) dashboards. it is triggered when the user requests the creation of a new apm dashboard, monitoring dashboard, or a dashboard for application performance. the skill helps ... Use when generating or creating new content. Trigger with phrases like 'generate', 'create', or 'scaffold'.
kpi-dashboard-design
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
grafana-dashboards
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
azure-ai-contentunderstanding-py
Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video. Triggers: "azure-ai-contentunderstanding", "ContentUnderstandingClient", "multimodal analysis", "document extraction", "video analysis", "audio transcription".
understanding-db-schema
Deep expertise in Logseq's Datascript database schema. Auto-invokes when users ask about Logseq DB schema, Datascript attributes, built-in classes, property types, entity relationships, schema validation, or the node/block/page data model. Provides authoritative knowledge of the DB graph architecture.
User Research — Understanding Users Through Evidence
## Overview
Gatus — Lightweight Health Check Dashboard
## Overview
Evidence — Code-Driven BI Dashboards
## Overview
SKILL: Week 6: Understanding Windows Mitigations
## Metadata
/understand
Analyze the current codebase and produce a `knowledge-graph.json` file in `.understand-anything/`. This file powers the interactive dashboard for exploring the project's architecture.