Best fit
- Use when the brief asks for a "dashboard", "admin", "analytics", or "control panel" screen.
nexu-io/open-design
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.
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/dashboard"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
Produce a single-screen admin / analytics dashboard.
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/dashboard"The pinned source supports a structured brief, but not an expanded tutorial. Only detected inputs, outputs, and sections are shown.
298 source words · 2 usable sections
Best fit
Analysis outputs
Analysis workflow
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
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.
Analysis checklist
The source section “Workflow” has been checked.
The source section “Output contract” has been checked.
Source output checked: One sentence before the artifact, nothing after.
Choose a different workflow
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.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailAnalyze 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.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailStandard 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.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
Produce a single-screen admin / analytics dashboard.
The source record exposes this install command: npx skills add https://github.com/nexu-io/open-design --skill "design-templates/dashboard". Inspect the command and pinned source before running it.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
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.
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.
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.
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.
High-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
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.