DevelopmentMédio

Developing with Streamlit

porstreamlit·streamlit· v1.0.0 · atualizado em 2026-04-10

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Build production-grade Streamlit apps. Used when creating, editing, debugging, or deploying Streamlit applications. Routes to specialized sub-skills for performance, layouts, design, data display, and more.

streamlitpythonweb-developmentui-designdata-visualizationdashboarding

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Documento do Skill

SKILL.mddeveloping-with-streamlit/workflow

1. Define the purpose and requirements of the Streamlit app.

2. Set up the Streamlit environment and project structure.

3. Choose appropriate Streamlit components and layouts.

4. Implement the application logic and connect to data sources.

5. Style and customize the app's appearance.

6. Optimize performance for a smooth user experience.

7. Deploy the Streamlit app to a web server.

Telemetria de Agentes

Execuções

total

Taxa de Sucesso

últimos 30d

Latência Média

0.0s

p50

Alucinação

0.0%

detecção

Tokens Entrada

avg 0/exec

Tokens Saída

avg 0/exec

Uso por Plataforma

Skills Relacionados

60%

Árvore do Skill

Developing with Streamlit

developing-with-streamlit

Fases Cognitivas5

1.SENSE

2.CONTEXTUALIZE

3.RECOMMEND

4.ACT

5.REFLECT

Triggers9

build a Streamlit appcreate a Streamlit applicationdebug a Streamlit appimprove Streamlit app performancedesign a Streamlit UIconnect Streamlit to Snowflakebuild a Streamlit dashboardcustomize Streamlit themedeploy a Streamlit application

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%

🤖Sucesso de Agentes0%

🕐Atualidade100%

🔗Saúde de Dependências100%

🕸️Centralidade no Grafo0%

🛡️Segurança50%

CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download developing-with-streamlit

$ synaptic skills detail developing-with-streamlit

$ synaptic skills live developing-with-streamlit

Dependências

streamlit pandas plotly snowflake-connector-python

Links

GitHub Repository