Complete AI TrainingYourJobSkills for your job

Skills / ai-ml

claude-d3js-skill

This skill provides guidance for creating sophisticated, interactive data visualisations using d3.js.

newData & AnalyticsAI & Automation

D3.js Visualisation

Detailed Guide

Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

When to use d3.js

Use d3.js for:

  • Custom visualisations requiring unique visual encodings or layouts
  • Interactive explorations with complex pan, zoom, or brush behaviours
  • Network/graph visualisations (force-directed layouts, tree diagrams, hierarchies, chord diagrams)
  • Geographic visualisations with custom projections
  • Visualisations requiring smooth, choreographed transitions
  • Publication-quality graphics with fine-grained styling control
  • Novel chart types not available in standard libraries

Consider alternatives for:

  • 3D visualisations - use Three.js instead

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Details

Sourcecommunity
License
Risk labelcritical ("critical" means the skill may run commands or touch files — read before use)
FilesSKILL.md, assets/chart-template.jsx, assets/interactive-template.jsx, assets/sample-data.json, references/colour-schemes.md, references/d3-patterns.md, references/detailed-guide.md, references/scale-reference.md
Added2026-02-27

Related skills

advanced-evaluation

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.

agent-creator

Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills.

agent-framework-azure-ai-py

Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.

agent-memory

A hybrid memory system that provides persistent, searchable knowledge management for AI agents.

agent-memory-mcp

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

agent-orchestration-improve-agent

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.