Lens chart

Skill jeremylongshore/claude-code-plugins-plus-skills/plugins/ai-agency/tonone/skills/lens-chart

Use when asked to select chart types for analytics dashboards, choose BI visualizations, or design data displays. Examples: "best chart for sales data", "dashboard visualization for metrics", "analytics chart selection"From its SKILL.md

Install

npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill lens-chart

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What its file declares

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SKILL.md

2.9 KB, 496 tokens by cl100k_base, as published. Nobody here has run it

lens-chart — BI & Analytics Chart Selection

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

When to use

User needs chart type selection or visualization recommendations for analytics dashboards or BI contexts.

Workflow

Identify data type and BI context from user request (sales trends, cohort analysis, funnel, KPI comparison, etc.)

Search chart knowledge base:

python3 -m lens_agent.uiux search --domain chart --query "{data_type}" --limit 3

Search style for BI context:

python3 -m lens_agent.uiux search --domain style --query "{context}" --limit 2

Evaluate for BI requirements: data density, drill-down capability, real-time support, library recommendation
Output optimized for decision-making, not decoration

Output format

┌─ BI Chart Recommendation — {data_type} ─────────────────────────────┐
│ Chart type:        {chart_type}                                      │
│ Library:           {library}                                         │
│ Data density:      {density} (low / medium / high)                  │
│ Drill-down:        {drill_down} (yes / no / limited)                │
│ Real-time support: {real_time} (yes / no)                           │
│ Accessibility:     {grade}                                           │
├─ Decision test ─────────────────────────────────────────────────────┤
│ "Does this answer a decision?" → {yes_no}: {rationale}              │
└──────────────────────────────────────────────────────────────────────┘

Anti-patterns

Never choose decorative over data-dense visualizations for BI contexts
Never skip the "does this answer a decision?" test — every chart must justify its inclusion
Never skip accessibility fallback for charts graded below AA
Never recommend real-time charts without confirming the data pipeline supports streaming

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

What ships with it: 1 file

273 B alongside SKILL.md

.claude-plugin/

plugin.json273 B