Best for
- Use when the brief asks for a "dashboard", "admin", "analytics", or "control panel" screen.
nexu-io/open-design/design-templates/dashboard/SKILL.md
Admin / analytics dashboard in a single HTML file. Fixed left sidebar, top bar with user/search, main grid of KPI cards and one or two charts. Use when the brief asks for a "dashboard", "admin", "analytics", or "control panel" screen.
Decision brief
Produce a single-screen admin / analytics dashboard.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/dashboard"Inspect the Agent Skill "dashboard" from https://github.com/nexu-io/open-design/blob/89d6d4ef21baf80f871595abdf6f7de6e941dd44/design-templates/dashboard/SKILL.md at commit 89d6d4ef21baf80f871595abdf6f7de6e941dd44. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
1. Read the active DESIGN.md (injected above). Colors, typography, spacing, component styling all come from it. Do not invent new tokens. 2. Classify what the dashboard monitors (sales, traffic, usage, incidents, ops, etc.) from the brief. Generate specific, plausible metric nam…
One sentence before the artifact, nothing after.
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 73/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 82,073 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Produce a single-screen admin / analytics dashboard.
<!doctype html> through </html>, CSS in one inline <style> block.<aside>, <header>, <main>, <section>.data-od-id="slug" for comment mode.<polyline> with a subtle area fill. A bar chart is N <rect>s with
DS-accent fill. Label axes lightly (muted text, smaller scale).Emit between <artifact> tags:
<artifact identifier="dashboard-slug" type="text/html" title="Dashboard Title">
<!doctype html>
<html>...</html>
</artifact>
One sentence before the artifact, nothing after.
Alternatives
K-Dense-AI/scientific-agent-skills
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
K-Dense-AI/scientific-agent-skills
Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.
K-Dense-AI/scientific-agent-skills
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, visualization, and converting R-friendly single-cell formats such as Seurat or SingleCellExperiment RDS files into h5ad for Scanpy. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.
K-Dense-AI/scientific-agent-skills
High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Overlap, nearest, merge, coverage, complement, subtract for BED/VCF/BAM/GFF intervals. Streaming, cloud-native, faster bioframe alternative.