adk-python
Use Google ADK Python to build agents, Workflow graphs, tools, runtime services, CLI apps, evaluations, deployments, and ADK repository changes.
Skill by VectorSpaceLab
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/vectorspacelab-adk-python
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/adk-python
What's inside
- Skill name
adk-python- Description
- Use Google ADK Python to build agents, Workflow graphs, tools, runtime services, CLI apps, evaluations, deployments, and ADK repository changes.
- License
- Apache-2.0
- Metadata
- disco-role: operating
- Instructions
- 69 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (41)
- SKILL.md
- capability-map.md · references/
- repo-provenance.md · references/
- repo-routing-metadata.json · references/
- troubleshooting.md · references/
- check_adk_install.py · scripts/
- SKILL.md · sub-skills/agent-construction/
- api-reference.md · sub-skills/agent-construction/references/
- troubleshooting.md · sub-skills/agent-construction/references/
- workflows.md · sub-skills/agent-construction/references/
- inspect_agent_api.py · sub-skills/agent-construction/scripts/
- SKILL.md · sub-skills/cli-configuration-deployment/
- cli-reference.md · sub-skills/cli-configuration-deployment/references/
- configuration.md · sub-skills/cli-configuration-deployment/references/
- troubleshooting.md · sub-skills/cli-configuration-deployment/references/
- inspect_adk_cli.py · sub-skills/cli-configuration-deployment/scripts/
- SKILL.md · sub-skills/evaluation-debugging/
- debugging.md · sub-skills/evaluation-debugging/references/
- evaluation-workflows.md · sub-skills/evaluation-debugging/references/
- troubleshooting.md · sub-skills/evaluation-debugging/references/
- summarize_adk_events.py · sub-skills/evaluation-debugging/scripts/
- SKILL.md · sub-skills/repo-development/
- development-and-testing.md · sub-skills/repo-development/references/
- review-checklist.md · sub-skills/repo-development/references/
- troubleshooting.md · sub-skills/repo-development/references/
- select_adk_tests.py · sub-skills/repo-development/scripts/
- SKILL.md · sub-skills/runtime-services/
- api-reference.md · sub-skills/runtime-services/references/
- service-patterns.md · sub-skills/runtime-services/references/
- troubleshooting.md · sub-skills/runtime-services/references/
- check_runtime_services.py · sub-skills/runtime-services/scripts/
- SKILL.md · sub-skills/tools-and-integrations/
- api-reference.md · sub-skills/tools-and-integrations/references/
- troubleshooting.md · sub-skills/tools-and-integrations/references/
- workflows.md · sub-skills/tools-and-integrations/references/
- inspect_tooling.py · sub-skills/tools-and-integrations/scripts/
- SKILL.md · sub-skills/workflow-orchestration/
- api-reference.md · sub-skills/workflow-orchestration/references/
- troubleshooting.md · sub-skills/workflow-orchestration/references/
- workflow-patterns.md · sub-skills/workflow-orchestration/references/
- inspect_workflow_api.py · sub-skills/workflow-orchestration/scripts/
SKILL.md (first lines)
# ADK Python
Use this repo skill when a task involves Google Agent Development Kit for Python (`google-adk` / `google.adk`), ADK 2.0 `Agent` and `Workflow` APIs, ADK CLI commands, tool integrations, runtime services, evaluation/debugging, or modifying the ADK Python repository itself.
## Start Here
- Install the package with `pip install google-adk` on Python 3.10+.
- For optional integrations, install the narrow extra for the task instead of `all` by default, such as `google-adk[db]`, `google-adk[mcp]`, `google-adk[eval]`, `google-adk[gcp]`, or `google-adk[extensions]`.
- Verify the base install with `python -c "import google.adk; print(google.adk.__version__)"` and `adk --help`.
- Run [check_adk_install.py](scripts/check_adk_install.py) for a safe diagnostic covering imports, CLI command availability, package version, and optional-extra signals.
- Read [Repository Provenance](references/repo-provenance.md) before deciding whether this skill is current for a checkout; refresh if commit, dirty state, package version, or major evidence paths changed.
## Route by Task
- **Build Python agents:** Use [agent-construction](sub-skills/agent-construction/SKILL.md) for `Agent`/`LlmAgent`, instructions, model settings, callbacks, schemas, task/single-turn modes, sub-agents, and multi-agent delegation.
- **Build Workflow graphs:** Use [workflow-orchestration](sub-skills/workflow-orchestration/SKILL.md) for `Workflow`, `BaseNode`, function nodes, graph edges, `JoinNode`, dynamic nodes, parallel worker, HITL, retry, checkpoint/resume, and event flow.
- **Add tools or integrations:** Use [tools-and-integrations](sub-skills/tools-and-integrations/SKILL.md) for `FunctionTool`, `ToolContext`, toolsets, confirmation/long-running tools, auth, MCP, OpenAPI, Google API/cloud integrations, A2A, and optional extras.
- **Configure runtime services:** Use [runtime-services](sub-skills/runtime-services/SKILL.md) for `Runner`, `App`, sessions, memory, artifacts, plugins, telemetry, code executors, environments, event persistence, and service lifecycles.
- **Use CLI/config/deployment:** Use [cli-configuration-deployment](sub-skills/cli-configuration-deployment/SKILL.md) for `adk run`, `adk web`, `adk api_server`, `adk test`, `adk eval`, `adk deploy`, app discovery, YAML config, service URIs, and safe CLI/schema inspection.
- **Evaluate or debug behavior:** Use [evaluation-debugging](sub-skills/evaluation-debugging/SKILL.md) for eval sets, JSON test fixtures, `adk test`, `adk eval`, event summaries, traces, session inspection, flaky evals, and assertion design.
- **Modify this repository:** Use [repo-development](sub-skills/repo-development/SKILL.md) for ADK Python source edits, style, tests, docs, samples, generated schema, review gates, and repository-specific validation.
## Shared References
- [Capability Map](references/capability-map.md) maps common user request families to sub-skills, bundled scripts, and validation expectations.
- [Troubleshooting](references/troubleshooting.md) covers cross-cutting install/import, optional dependency, CLI, credential, server, and repository-staleness failures.
- [Repository Routing Metadata](references/repo-routing-metadata.json) is structured metadata used by DisCo's managed `repo-skills-router` during import.
## Safe Defaults
- Prefer import/signature checks, `--help`, and dry-run diagnostics before starting servers, deployments, cloud calls, model-backed evals, or database migrations.
- Do not assume optional extras are installed in base `google-adk`; diagnose missing modules and install only what the selected workflow requires.
- Do not put API keys, OAuth secrets, service-account JSON, production database URLs, or cloud project credentials into examples or YAML files.
- For repository-maintenance tasks, run focused tests first and avoid remote/cloud/credentialed tests unless the user explicitly asks and the environment is configured.
## Minimal Examples
Create a simple agent:
```python
from google.adk import Agent
root_agent = Agent(
name="greeter",
model="gemini-2.5-flash",
instruction="Greet the user and answer briefly.",
)
```
Create a simple workflow:
```python
from google.adk import Workflow
root_agent = Workflow(
name="fruit_flow",
edges=[("START", pick_fruit, explain_benefit)],
)
```
Run local checks:
```bash
python scripts/check_adk_install.py --json
adk --help
adk run path/to/my_agent --help
```From VectorSpaceLab/AREX-Skill, Apache-2.0.
More from VectorSpaceLab/AREX-Skill
- 0.563score
data-designer-repo-skill
VectorSpaceLab
Use when you need to design DataDesigner configs, run preview/create/validate workflows, inspect the CLI or agent context, work with plugins or MCP tools, or…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
everos
VectorSpaceLab
Use this skill for EverOS local-first Markdown memory service setup, HTTP memory and knowledge APIs, cascade/OME operations, and observability integration.
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
bentoml
VectorSpaceLab
Use BentoML to author model-serving Services, build and containerize Bentos, run HTTP/gRPC servers and clients, manage models, operate the CLI and BentoCloud…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
dash
VectorSpaceLab
Use when building, debugging, testing, or maintaining Plotly Dash applications, callbacks, server backends, component packages, renderer internals, and Dash…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
diffusers
VectorSpaceLab
Use this skill for Hugging Face Diffusers tasks: pipeline inference, schedulers, adapters/loaders, training recipes, modular pipelines, conversion helpers…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
espnet
VectorSpaceLab
Use when working with ESPnet speech AI toolkit: installation, ESPnet2 recipes and training, pretrained inference/model zoo, ESPnet3 stage workflows, and…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
alphafold3
VectorSpaceLab
Use this skill for AlphaFold 3 input preparation, prediction command planning, output interpretation, and Python API inspection.
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
autogen
VectorSpaceLab
Use this skill for maintaining, migrating, debugging, and safely operating Microsoft AutoGen Python 0.7.x applications, including AgentChat, Core runtimes…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
browser-use
VectorSpaceLab
Use this self-contained Browser Use repo skill for Python agents that automate websites, browser sessions, custom tools, LLM/provider setup, persistent CLI…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
dagster
VectorSpaceLab
Use when working with Dagster OSS: assets, jobs, Definitions, config/resources, schedules/sensors, automation, CLI/local development, deployment operations…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
datasets
VectorSpaceLab
Use this skill when working with Hugging Face Datasets: loading local or Hub datasets, defining Features schemas, processing/streaming datasets, converting…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
geopandas
VectorSpaceLab
Use when working with GeoPandas GeoDataFrame and GeoSeries workflows, vector geospatial I/O, CRS-aware spatial operations, mapping, geocoding, and…
SkillBFreshness: B★ 341Claude Code +9
Signals
- Stars
- 341
- Forks
- 26
- Open issues
- 0
- Last commit (this folder)
- Aug 26, 2026 (2 months ago)
- Last release
- Sep 2, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/VectorSpaceLab/AREX-Skill
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from VectorSpaceLab
- 0.563score
bentoml
VectorSpaceLab
Use BentoML to author model-serving Services, build and containerize Bentos, run HTTP/gRPC servers and clients, manage models, operate the CLI and BentoCloud…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
dagster
VectorSpaceLab
Use when working with Dagster OSS: assets, jobs, Definitions, config/resources, schedules/sensors, automation, CLI/local development, deployment operations…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
alphafold3
VectorSpaceLab
Use this skill for AlphaFold 3 input preparation, prediction command planning, output interpretation, and Python API inspection.
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
autogen
VectorSpaceLab
Use this skill for maintaining, migrating, debugging, and safely operating Microsoft AutoGen Python 0.7.x applications, including AgentChat, Core runtimes…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
browser-use
VectorSpaceLab
Use this self-contained Browser Use repo skill for Python agents that automate websites, browser sessions, custom tools, LLM/provider setup, persistent CLI…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
dash
VectorSpaceLab
Use when building, debugging, testing, or maintaining Plotly Dash applications, callbacks, server backends, component packages, renderer internals, and Dash…
SkillBFreshness: B★ 341Claude Code +9
Cite this page
adk-python skill. Agent Mart. https://agentmart.dev/skills/vectorspacelab-adk-python (last updated 2026-10-24)