Best fit
- Use when the brief asks for a team / workspace admin dashboard, an interactive admin dashboard with charts, or names FlowAI.
nexu-io/open-design
Team-management dashboard skill in the FlowAI aesthetic — three tabs (Team Members, Team Details, Activity Log), KPI stat row, member table, role distribution bar chart, online presence and activity sparklines, and a top-contributors panel, all in a single self-contained HTML file with light/dark theming, hoverable chart tooltips, click-to-zoom panels, and CSV export. Use when the brief asks for a team / workspace admin dashboard, an interactive admin dashboard with charts, or names FlowAI.
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/flowai-live-dashboard-template"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
Produce a single-screen, multi-tab team management dashboard inspired by the FlowAI aesthetic. The output is a self-contained HTML file (no external runtime dependencies) with built-in interactions: tab switching, an animated bar chart, hover tooltips on charts, click-to-zoom pa…
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/flowai-live-dashboard-template"The pinned source supports a structured brief, but not an expanded tutorial. Only detected inputs, outputs, and sections are shown.
290 source words · 3 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). Map color, typography, spacing, and component styling tokens to the CSS variables used by assets/template.html. Do not invent new tokens. 2. Start from assets/template.html; never generate the shell from blank. 3. Keep three tabs: T…
Review the “Resource map” section in the pinned source before continuing.
Emit one short orientation sentence, then the artifact:
Analysis checklist
The source section “Workflow” has been checked.
The source section “Resource map” has been checked.
The source section “Output contract” has been checked.
Source output checked: Emit one short orientation sentence, then the artifact:
Source output checked: The artifact must render correctly when opened directly from disk with no build step and no network access.
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, multi-tab team management dashboard inspired by the FlowAI aesthetic. The output is a self-contained HTML file (no external runtime dependencies) with built-in interactions: tab switching, an animated bar chart, hover tooltips on charts, click-to-zoom pa…
The source record exposes this install command: npx skills add https://github.com/nexu-io/open-design --skill "design-templates/flowai-live-dashboard-template". 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, multi-tab team management dashboard inspired by the FlowAI aesthetic. The output is a self-contained HTML file (no external runtime dependencies) with built-in interactions: tab switching, an animated bar chart, hover tooltips on charts, click-to-zoom panels, dark mode toggle, and CSV export of the visible team table.
flowai-live-dashboard-template/
├── SKILL.md
├── assets/
│ └── template.html # reference seed used as the starting structure
├── references/
│ └── checklist.md # P0/P1/P2 quality gates
└── example.html # complete hand-built sample (gallery preview)
assets/template.html. Do not invent new tokens.assets/template.html; never generate the shell from blank.Team Members, Team Details, Activity Log. Tabs must
actually switch and only one view is visible at a time.Member A / Metric B placeholders.#members | #details | #activity)Workflow columnreferences/checklist.md before final output.Emit one short orientation sentence, then the artifact:
<artifact identifier="flowai-team-dashboard" type="text/html" title="FlowAI Team Dashboard">
<!doctype html>
<html>...</html>
</artifact>
The artifact must render correctly when opened directly from disk with no build step and no network access.