Install
$ agentstack add skill-ihatesea69-kiro-kit-google-adk-python ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Google ADK Python
Activate this skill when building AI agents with Google's Agent Development Kit.
When to Use
- Creating multi-agent orchestration systems
- Building tool-using AI agents
- Integrating with Google Cloud AI services
- Designing agent communication protocols
- Implementing RAG pipelines with ADK
Core Concepts
- Agent: Autonomous unit with instructions, tools, and model
- Tool: Function callable by the agent (Python functions, APIs)
- Session: Conversation state management
- Runner: Execution engine for agent invocations
- Orchestrator: Multi-agent coordination patterns
Setup
from google.adk import Agent, Tool, Runner
agent = Agent(
name="data-analyst",
model="gemini-2.0-flash",
instructions="You analyze datasets and produce insights.",
tools=[query_database, generate_chart],
)
runner = Runner(agent=agent)
response = runner.run("Analyze Q4 sales trends")
Patterns
- Sequential agent chains for multi-step analysis
- Parallel agents for independent data processing
- Supervisor pattern for quality control
- Tool composition for complex workflows
Rules
- Define clear agent boundaries and responsibilities
- Use typed tool parameters with Pydantic models
- Handle tool failures gracefully with retries
- Keep agent instructions concise and focused
- Test agents with deterministic inputs first
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ihatesea69
- Source: ihatesea69/kiro-kit
- License: MIT
- Homepage: https://www.npmjs.com/package/kiro-kit
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.