infographic-creator
An infographic transforms data, information, and knowledge into perceptible visual language. It combines visual design and data visualization, using intuitive symbols to compress complex information and help the audience quickly understand and remember the key points.
Infographic = Information Structure + Visual Expression
This task uses AntV Infographic to create visual infographics.
Before starting the task, you need to understand the AntV Infographic syntax specifications, including the template list, data structures, themes, etc.
Specifications
AntV Infographic Syntax
The AntV Infographic syntax is a custom DSL used to describe the rendering configuration of infographics. It uses indentation to express structure, making it suitable for AI to directly generate and stream output. The core information includes:
- template: Express the information structure using a template.
- data: Infographic data, containing
title,desc, and the main data field. - theme: Theme configuration, containing
palette, fonts, stylization, etc.
For example:
More from hrdtbs/agent-skills
plan-self-review
Self-evaluate a plan on a 100-point scale after it is created or updated. Make sure to use this skill immediately whenever you create a plan or update a plan, even if the user does not explicitly ask for a review. This skill ensures that the plan is clear, comprehensive, feasible, and consistent before execution.
45create-pull-request
Create a GitHub pull request safely and reliably using project conventions. Make sure to use this skill whenever the user asks to create a PR, submit changes for review, open a pull request, or mentions "PR", "プルリク", or "pull request". It handles commit verification, branch validation, and PR creation using the gh CLI.
40commit
Expert-level commit creation and formatting following Conventional Commits. Make sure to use this skill whenever you need to create a commit message, save changes to git, structure a logical commit history, or when the user mentions 'commit', 'git commit', 'コミット', '変更をコミット', or asks you to push their code.
39mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
3prompt-evaluator
Evaluate and score user-written LLM prompts on a 100-point scale across 5 axes (Clarity, Structure, Information Content, Specificity, Context), providing specific improvement suggestions and a revised prompt. Make sure to use this skill whenever the user asks to evaluate, review, score, or improve a prompt, or when they say things like 'このプロンプトどう？', 'プロンプトを評価して', 'rate my prompt', 'review this prompt', or 'is this prompt good enough?'. This skill focuses on scoring existing prompts, not writing new ones from scratch.
3skill-judge
Evaluate Agent Skill design quality against official specifications and best practices. Use when reviewing, auditing, or improving SKILL.md files and skill packages. Provides multi-dimensional scoring and actionable improvement suggestions.
3