FAQ
How do I install data-report?
The source record exposes this install command: npx skills add https://github.com/nexu-io/open-design --skill "skills/data-report". Inspect the command and pinned source before running it.
nexu-io/open-design
data-report
Turns CSV, Excel, or JSON data into a polished visual report page.
46Collecting
See source evidenceView GitHub source
npx skills add https://github.com/nexu-io/open-design --skill "skills/data-report"Source profileData analysisCatalog only
Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Limited to facts supported by the pinned source
What the pinned source establishes about data-report
Turns CSV, Excel, or JSON data into a polished visual report page.
npx skills add https://github.com/nexu-io/open-design --skill "skills/data-report"The pinned source contains about 37 English words and 0 usable sections. That evidence supports a source profile, not a complete guide.
37 source words · 0 usable sections
Choose a different workflow
When another Skill is the better fit
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.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailsql-code-review
Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimization prompt for complete development coverage.
A separate implementation from github/awesome-copilot; compare its source, maintenance signals, and permission requirements.
Open source detaildataverse-python-usecase-builder
Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
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Open source detailRepository stars
82,073
Repository forks
9,485
Quality
46/100
Source repository last pushed
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Documentation7/30
Specificity7/25
Maintenance20/20
Trust signals12/25
Compare before choosing
Related Agent Skills and source variants
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
neuropixels-analysis by k-dense-ai
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.
sql-code-review by github
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Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
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GitHub repository analytics dashboard — stars, forks, contributors, issues, pull requests, recent activity, and top contributors. Use when the brief asks for a GitHub repo dashboard, open-source growth report, repository health page, or GitHub analytics view.
sql-pro by jeffallan
Optimizes SQL queries, designs database schemas, and troubleshoots performance issues. Use when a user asks why their query is slow, needs help writing complex joins or aggregations, mentions database performance issues, or wants to design or migrate a schema. Invoke for complex queries, window functions, CTEs, indexing strategies, query plan analysis, covering index creation, recursive queries, EXPLAIN/ANALYZE interpretation, before/after query benchmarking, or migrating queries between databas
View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 1 min
【模板: 数据可视化报告】
- 头部: 报告标题 + 时间区间 + 数据来源说明。
- KPI 卡片网格: 3-5 个最重要指标, 每个卡片显示数值 + 同比变化 + 微型趋势线。
- 主图表区: 至少 2 个图表 (柱状 / 折线 / 饼 / 散点), 使用 Chart.js 或 ECharts (jsdelivr CDN 引入), 数据从用户输入解析得到。
- 图表容器必须有固定高度: 每个
<canvas>外层包一个<div style="position:relative;height:NNNpx">(KPI 迷你图 ~40px, 主图表 ~240–280px)。Chart.js 用responsive:true, maintainAspectRatio:false时若父容器没有显式高度, 会陷入 ResizeObserver 死循环, 图表无限增高直至卡死浏览器。绝对不要直接给 canvas 写height=属性当布局, 那个只是初始值。 - 数据表格: 用户原始数据节选, 使用
<table>+ 现代化样式 (zebra stripe, hover, sticky header)。 - 洞察块: 3-5 条文字洞察, 用 emoji 开头, 像产品周报。
- 底部"方法论"折叠区。
- 配色克制专业: 主色 1 + 中性色阶, 图表用调色板。
- 必须解析用户提供的实际数据, 不要捏造。
- Source repo
- nexu-io/open-design
- Skill path
- skills/data-report/SKILL.md
- Commit SHA
- 89d6d4ef21ba
- Repository license
- Apache-2.0
- Data collected