Individual skill
reversa-highcharts-visualizer
Cria visualizações de dados interativas com Highcharts.js, gerando HTML standalone com gráficos animados, responsivos e acessíveis a partir de dados inline, CSV ou JSON.
agents/reversa-highcharts-visualizer/SKILL.md
Source commit 0d4e01d9f28926ae1379cfc68f4588ce8e1026b0
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,967
- Repository last updated
- Nov 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 6,839 bytesagents/openai.yamlasset · 189 bytesreferences/CHART_CATALOG.mddoc · 9,686 bytesreferences/ERRORS.mddoc · 3,416 bytesreferences/HIGHCHARTS_PATTERNS.mddoc · 8,685 bytesscripts/analyze_data.pyruns · 7,654 bytesscripts/parse_data.pyruns · 8,245 bytesscripts/sample_data.pyruns · 7,333 bytes
Read excerpt
# Highcharts Visualizer
Cria visualizações de dados profissionais usando Highcharts.js. Gera sempre **HTML standalone**
(arquivo único, self-contained) com gráficos interativos, animados, responsivos e acessíveis.
## Fluxo de Trabalho
### 1. Receber os Dados
Os dados podem vir de:
- **Inline na conversa** → Usuário cola dados, tabela, lista de valores
- **CSV/JSON enviado** → Analise o conteúdo usando `view_file` e injete os dados diretamente no HTML gerado. Nunca crie scripts em Python.
- **Planilha Excel** → Extraia os dados das tabelas e injete-os no HTML. Não use Python.