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ADK Development Workflow & Guidelines

porgoogle·google· v1.0.0 · atualizado em 2026-04-10
80
Score

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adkagent-developmentagent-workflowevaluationdeploymentcoding-guidelines
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Documento do Skill

SKILL.mdadk-dev-guide/workflow
1
Understand the Spec: — Read `DESIGN_SPEC.md` thoroughly to understand requirements and constraints.
2
Build and Implement: — Write/modify code in the agent directory, using `make playground` for interactive testing.
3
Evaluate: — Run evaluations using `adk eval`, starting with a small sample and iterating until quality thresholds are met.
4
Deploy: — Deploy the agent only after evaluation thresholds are met and with explicit human approval.
5
Code Preservation: — Modify only the code segments directly targeted by the user's request, preserving all surrounding code.
6
Model Selection: — Never change the model unless explicitly asked; use Gemini 3 series for new agents.
7
Troubleshooting: — Check `/adk-cheatsheet` and ADK documentation for common patterns and solutions.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

ADK Development Workflow & Guidelines
adk-dev-guide
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.ACT
5.REFLECT
Triggers8
develop an agent using ADKwhat is the ADK development workflow?how to evaluate an ADK agentdeploy an agent with ADKbest practices for coding agents in ADKunderstand the DESIGN_SPEC.md filehow to use the adk-cheatsheetrun evaluations with adk eval

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 adk-dev-guide
$ synaptic skills detail adk-dev-guide
$ synaptic skills live adk-dev-guide

Dependências

pytestruffterraform

Links

GitHub Repository