adk-engineer
Skill5 starsChanged 2 months agoMITView on GitHub
Implement production-ready agents using Google Agent Development Kit (ADK). Use when creating ADK agents, building multi-agent systems, implementing workflow agents, reviewing ADK code, or deploying to Vertex AI / Cloud Run. Triggers: 'ADK agent', 'Google ADK', 'multi-agent system', 'Gemini agent', 'agent workflow', 'adk deploy'. Do NOT use for non-ADK agent frameworks (LangChain, CrewAI, AutoGen) or general Gemini API calls without ADK.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- RuslanKhis/agentic-engineering-skillstheir own version, first seen Oct 27, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- RuslanKhis/agentic-engineering-skills★ 9same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository25 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agent-orchestratorSkill
- brainstormingSkill
- bugfixSkill
- classify-reviewSkill
- code-reviewerSkill
- codex-reviewSkill
- context7-skillsSkill
- developer-growth-analysisSkill
- file-organizerSkill
- gcp-deploy-guardianSkill
- gws-workspaceSkill
- handoverSkill
- modern-architectureSkill
- planSkill
- repo-cleanSkill
- review-loopSkill
- security-reviewSkill
- skill-creatorSkill
- supabase-nextjs-debuggerSkill
- tdd-workflowSkill
- test-falsifySkill
- ui-design-systemSkill
- ui-skillsSkill
- ux-researcher-designerSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 3 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 13
Single agent: Read references/adk-patterns.md -> Use assets/templates/single-agent/ -> Validate with references/adk-best-practices.md.
- Very specific: line 46
Test locally: Run python agent.py or adk ui.
- Distinctive: line 59
Read agent code and identify patterns used.
- Very specific: line 60
Check implementation against references/adk-patterns.md.
- Very specific: line 103
If validate_agent.py reports issues, fix all CRITICAL/HIGH items before deployment.
- Distinctive: line 104
If pattern selection is ambiguous, default to Coordinator for routing tasks, Sequential for pipelines.
- Distinctive: line 105
If deployment fails, check project permissions and staging bucket access first.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
ADK Engineer
Implement, review, and deploy Google ADK agents following proven patterns and best practices.
Quick Start
Single agent: Read references/adk-patterns.md -> Use assets/templates/single-agent/ -> Validate with references/adk-best-practices.md.
Multi-agent system: Choose pattern (Coordinator, Sequential, Parallel, Loop) -> Use matching template from assets/templates/ -> Consult references/adk-patterns.md.
<important if="choosing an ADK agent pattern or designing a multi-agent system architecture">Pattern Selection
| Task Type | Pattern | Template |
| Linear data processing | Sequential Pipeline | assets/templates/workflow/ |
| Intent-based routing | Coordinator/Dispatcher | assets/templates/multi-agent/ |
| Independent concurrent tasks | Parallel Fan-Out/Gather | assets/templates/workflow/ |
| Nested agent structures | Hierarchical Decomposition | assets/templates/multi-agent/ |
| Validation loops | Generator-Critic | assets/templates/workflow/ |
| Quality improvement | Iterative Refinement | assets/templates/workflow/ |
| Critical decisions | Human-in-the-Loop | assets/templates/single-agent/ |
</important>Implementation Workflow
<important if="creating a new ADK agent from a template">New Agent
- Choose pattern from table above based on task analysis.
- Copy template:
cp -r assets/templates/[single-agent|multi-agent|workflow]/ ./my_agent/ # Or: bash scripts/init_adk_project.sh my_agent [template_type] - Implement domain logic: Define custom tools, update instructions, configure
output_keyvalues. - Test locally: Run
python agent.pyoradk ui. - Validate:
python scripts/validate_agent.py agent.py - Deploy per
references/adk-deployment.md.
</important><important if="reviewing existing ADK agent code for correctness and best practices">Code Review
- Read agent code and identify patterns used.
- Check implementation against
references/adk-patterns.md. - Review against
references/adk-best-practices.md. - Run
python scripts/validate_agent.py agent.py. - Provide specific, actionable recommendations with references.
</important><important if="validating an ADK agent before deployment or during code review">Validation Checklist
root_agentproperly defined- Agent descriptions are clear and specific
- Descriptive
output_keyvalues for state management - Loop agents have
max_iterations - Parallel agents use unique
output_keyvalues - Tools follow verb-noun naming pattern
- Error handling with graceful degradation
- Appropriate model selection per agent complexity
REQUIRE_CONFIRMATIONfor high-stakes operations
</important><important if="deploying an ADK agent to Vertex AI Agent Engine or Cloud Run">Deployment
# Vertex AI Agent Engine (recommended)
adk deploy agent_engine --project=PROJECT_ID --region=us-central1 \
--staging_bucket=gs://BUCKET/staging --agent-file=agent.py
# Cloud Run
adk deploy cloud_run --project=PROJECT_ID --region=us-central1 \
--agent-file=agent.pySee references/adk-deployment.md for Docker, CI/CD, monitoring, and security details.
</important>Error Handling
- If
validate_agent.pyreports issues, fix all CRITICAL/HIGH items before deployment. - If pattern selection is ambiguous, default to Coordinator for routing tasks, Sequential for pipelines.
- If deployment fails, check project permissions and staging bucket access first.
References
references/adk-patterns.md-- 7 design patterns with code examplesreferences/adk-best-practices.md-- Agent design, state management, tools, securityreferences/adk-deployment.md-- Deployment workflows, CI/CD, monitoring, cost optimizationassets/templates/-- Single-agent, multi-agent, workflow starter templates- Google ADK Docs
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