infographic-template-updater

2
1
Source

Update template catalogs and UI prompts after adding new infographic templates (src/templates/*.ts), including SKILL.md template list, site gallery template mappings, and the AIPlayground prompt list.

Install

mkdir -p .claude/skills/infographic-template-updater && curl -L -o skill.zip "https://mcp.directory/api/skills/download/8025" && unzip -o skill.zip -d .claude/skills/infographic-template-updater && rm skill.zip

Installs to .claude/skills/infographic-template-updater

About infographic-template-updater

infographic-template-updater is a specialized agent skill created by antvis that extends AI coding assistants with enhanced capabilities. Agent skills provide context, workflows, and specialized knowledge that help AI assistants perform specific tasks more effectively than general-purpose AI alone.

Update template catalogs and UI prompts after adding new infographic templates (src/templates/*.ts), including SKILL.md template list, site gallery template mappings, and the AIPlayground prompt list.

How to use infographic-template-updater

Once installed, infographic-template-updater becomes available in your AI coding environment automatically. Your AI assistant will use the skill's instructions and knowledge whenever relevant tasks arise in your workflow. You can install it at the project level (available only in a specific project) or globally (available across all your projects).

Use the install panel on this page to copy a one-line command for your preferred AI client. The skill files are downloaded and placed in the appropriate directory — no additional configuration is required.

Compatible AI clients

infographic-template-updater works with multiple AI coding assistants including Cursor, Claude Code, Codex, Copilot, and other agents that support the skills format. Each client stores skills in a slightly different directory, but the installation command handles this automatically.

What are agent skills?

Agent skills are reusable instruction sets that give AI coding assistants new capabilities. Unlike MCP servers that provide tools and API connections, skills provide context, workflows, and domain-specific knowledge. Think of skills as specialized training for your AI assistant — they help it understand particular frameworks, coding patterns, or development workflows.

Browse more skills in the skills directory or check out the leaderboard to see the most popular skills.

About the author

antvis has published 7 skills on MCP.Directory. Browse their full catalog to discover complementary skills for your workflow.

infographic-creation

antvis

Create beautiful infographics based on the given text content. Use this when users request creating infographics.

313100

antv-l7

antvis

Comprehensive guide for AntV L7 geospatial visualization library. Use when users need to: (1) Create interactive maps with WebGL rendering (2) Visualize geographic data (points, lines, polygons, heatmaps) (3) Build location-based data dashboards (4) Add map layers, interactions, or animations (5) Process and display GeoJSON, CSV, or other spatial data (6) Integrate maps with AMap (GaodeMap), Mapbox, Maplibre, or standalone L7 Map (7) Optimize performance for large-scale geographic datasets

82

s2-lint

antvis

After modifying S2 project code, you must run lint to ensure there are no errors, avoiding issues when pushing to git.

52

infographic-structure-creator

antvis

Generate or update infographic Structure components for this repo (TypeScript/TSX in src/designs/structures). Use when asked to design, implement, or modify structure layouts (list/compare/sequence/hierarchy/relation/geo/chart), including layout logic, component composition, and registration.

101

g2-translation-guidelines

antvis

Guidelines for translating G2 documentation, including terminology consistency, hyperlink adjustments, and file naming conventions for multilingual documentation. Use when need to translate documents.

01

s2-unit-test

antvis

Guidelines for writing and maintaining unit tests in the S2 project. Use when modifying source code to ensure proper test coverage.

41

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