Source profileQuality 73/100

nexu-io/open-design/design-templates/dashboard/SKILL.md

dashboard

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.

Source repository stars
82,073
Declared platforms
0
Static risk flags
0
Last source update
2026-07-28
Source checked
2026-07-28

Decision brief

What it does—and where it fits

Produce a single-screen admin / analytics dashboard.

Best for

  • Use when the brief asks for a "dashboard", "admin", "analytics", or "control panel" screen.

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/dashboard"
Safe inspection promptEditorial

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

What the source asks the agent to do

  1. 01

    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…

    Read the active DESIGN.md (injected above). Colors, typography, spacing,Classify what the dashboard monitors (sales, traffic, usage, incidents,Lay out the required regions:
  2. 02

    Output contract

    One sentence before the artifact, nothing after.

    One sentence before the artifact, nothing after.

Permission review

Static risk signals and limitations

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

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score73/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars82,073SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
nexu-io/open-design
Skill path
design-templates/dashboard/SKILL.md
Commit
89d6d4ef21baf80f871595abdf6f7de6e941dd44
License
Apache-2.0
Collected
2026-07-28
Default branch
main
View the original SKILL.md

Dashboard Skill

Produce a single-screen admin / analytics dashboard.

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 names and values — no "Metric A / Metric B" placeholders.
  3. Lay out the required regions:
    • Left sidebar (220–260px): brand mark at top, 6–8 nav links with icons, active state uses the DS accent.
    • Top bar: page title on the left, search input + user avatar / status on the right.
    • Main:
      • Row 1: 3–4 KPI cards (label + big number + delta vs. prior period).
      • Row 2: one primary chart (full width or 2/3) — render as an inline SVG line / bar / area chart drawn from real-looking numbers.
      • Row 3: one secondary chart or table (recent events, top items, etc.).
  4. Write one self-contained HTML document:
    • <!doctype html> through </html>, CSS in one inline <style> block.
    • CSS Grid for the overall layout; Flexbox inside cards.
    • Semantic HTML: <aside>, <header>, <main>, <section>.
    • Tag each logical region with data-od-id="slug" for comment mode.
  5. Charts: inline SVG only, no JS libraries. A line chart is ~10 lines of <polyline> with a subtle area fill. A bar chart is N <rect>s with DS-accent fill. Label axes lightly (muted text, smaller scale).
  6. Self-check:
    • Every color comes from DESIGN.md tokens.
    • Accent used at most twice (sidebar active + one chart highlight).
    • Sidebar + top bar are sticky; main scrolls independently.
    • Density matches the DS mood — airy DSes get more padding, dense DSes (trading, crypto) tighten rows.

Output contract

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

Compare before choosing

Computed 9831,966

K-Dense-AI/scientific-agent-skills

dask

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.

Computed 9631,966

K-Dense-AI/scientific-agent-skills

neuropixels-analysis

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.

Computed 9631,966

K-Dense-AI/scientific-agent-skills

scanpy

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.

Computed 9331,966

K-Dense-AI/scientific-agent-skills

polars-bio

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.