Edgeone Makers Tools
TencentEdgeOne/edgeone-makers-tools
EdgeOne Makers platform development router — the single entry point for building, storing data, and deploying on Tencent EdgeOne Makers.
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent…
$ npx skills add pifferologo/cloud-agents-cli --skill google-agents-cli-adk-code -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pifferologo/cloud-agents-cli google-agents-cli-adk-code --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/pifferologo/cloud-agents-cli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/google-agents-cli-adk-code .claude/skills/google-agents-cli-adk-code && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "google-agents-cli-adk-code" agent skill from https://github.com/pifferologo/cloud-agents-cli/tree/main/skills/google-agents-cli-adk-code into .claude/skills/google-agents-cli-adk-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-agents-cli-adk-code", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/pifferologo/cloud-agents-cli/tree/main/skills/google-agents-cli-adk-codeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add pifferologo/cloud-agents-cli --skill google-agents-cli-adk-code -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pifferologo/cloud-agents-cli google-agents-cli-adk-code --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pifferologo/cloud-agents-cli.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/google-agents-cli-adk-code .agents/skills/google-agents-cli-adk-code && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "google-agents-cli-adk-code" agent skill from https://github.com/pifferologo/cloud-agents-cli/tree/main/skills/google-agents-cli-adk-code into .agents/skills/google-agents-cli-adk-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-agents-cli-adk-code", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pifferologo/cloud-agents-cli --skill google-agents-cli-adk-code -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pifferologo/cloud-agents-cli google-agents-cli-adk-code --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pifferologo/cloud-agents-cli.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/google-agents-cli-adk-code .cursor/skills/google-agents-cli-adk-code && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "google-agents-cli-adk-code" agent skill from https://github.com/pifferologo/cloud-agents-cli/tree/main/skills/google-agents-cli-adk-code into .cursor/skills/google-agents-cli-adk-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-agents-cli-adk-code", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/pifferologo/cloud-agents-cli.git --path skills/google-agents-cli-adk-code--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add pifferologo/cloud-agents-cli --skill google-agents-cli-adk-code -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pifferologo/cloud-agents-cli google-agents-cli-adk-code --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pifferologo/cloud-agents-cli.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/google-agents-cli-adk-code .gemini/skills/google-agents-cli-adk-code && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "google-agents-cli-adk-code" agent skill from https://github.com/pifferologo/cloud-agents-cli/tree/main/skills/google-agents-cli-adk-code into .gemini/skills/google-agents-cli-adk-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-agents-cli-adk-code", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install pifferologo/cloud-agents-cli google-agents-cli-adk-codeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add pifferologo/cloud-agents-cli --skill google-agents-cli-adk-code -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pifferologo/cloud-agents-cli.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/google-agents-cli-adk-code .github/skills/google-agents-cli-adk-code && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "google-agents-cli-adk-code" agent skill from https://github.com/pifferologo/cloud-agents-cli/tree/main/skills/google-agents-cli-adk-code into .github/skills/google-agents-cli-adk-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-agents-cli-adk-code", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pifferologo/cloud-agents-cli --skill google-agents-cli-adk-code -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pifferologo/cloud-agents-cli google-agents-cli-adk-code --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pifferologo/cloud-agents-cli.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/google-agents-cli-adk-code .opencode/skills/google-agents-cli-adk-code && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "google-agents-cli-adk-code" agent skill from https://github.com/pifferologo/cloud-agents-cli/tree/main/skills/google-agents-cli-adk-code into .opencode/skills/google-agents-cli-adk-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-agents-cli-adk-code", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
google-agents-cli-adk-codeThis skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent…
Google Agents CLI Adk Code is an agent skill from pifferologo/cloud-agents-cli. This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent Development Kit) Python API patterns and code examples. Part of the Google ADK skills suite. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, and state management. Do NOT use for creating new projects (use google-agents-cli-scaffold) or deployment (use…
Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/adk-python.md` and `references/adk-workflows.md`).
It sits in AI & LLM Engineering, covering Project scaffolding, State management and Structured output and tool calling. It works with Python. The repository describes itself as: google cloud agent cli for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from piffer labs. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5957f5a. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
adk.devFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Google Agents CLI Adk Code loads about 768 tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 138 tokens; SKILL.md has 233 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from pifferologo/cloud-agents-cli at commit 5957f5a, republished under its Apache-2.0 licence (© pifferologo). 233 words, ~768 tokens.
.claude/skills/google-agents-cli-adk-code/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Before using this skill, activate
/google-agents-cli-workflowfirst — it contains the required development phases and scaffolding steps.
agents-cli info — if it shows project config, skip to the reference belowagents-cli scaffold create <name>agents-cli scaffold enhance .Do NOT write agent code until a project is scaffolded.
Python only for now. This reference currently covers the Python ADK SDK. Support for other languages is coming soon.
from google.adk.agents import Agent
def get_weather(city: str) -> dict:
"""Get current weather for a city."""
return {"city": city, "temp": "22°C", "condition": "sunny"}
root_agent = Agent(
name="my_agent",
model="gemini-flash-latest",
instruction="You are a helpful assistant that ...",
tools=[get_weather],
)The first two are cheatsheets for common patterns; for broad or deep knowledge, go to the source (docs index or installed package).
| Reference | When to read |
|---|---|
references/adk-python.md | Core ADK API: Agent, tools, callbacks, plugins, state, artifacts, multi-agent systems, SequentialAgent / ParallelAgent / LoopAgent, custom BaseAgent, A2A protocol, A2UI. Default for most agents. |
references/adk-workflows.md | Graph-based Workflow API (ADK 2.0): nodes, edges, fan-out/fan-in, HITL, parallel processing. Use when you need explicit graph topology. |
curl https://adk.dev/llms.txt | Docs index (every page title + URL). Fetch it, then WebFetch the specific page for anything beyond the cheatsheets. |
| Installed ADK package | Exact signatures and symbols — inspect the source (see "Inspecting ADK Source Code" in references/adk-python.md). |
/google-agents-cli-workflow — Development workflow, coding guidelines, and operational rules/google-agents-cli-scaffold — Project creation and enhancement with agents-cli scaffold create / scaffold enhance/google-agents-cli-eval — Evaluation methodology, dataset schema, and the eval-fix loop/google-agents-cli-deploy — Deployment targets, CI/CD pipelines, and production workflows© pifferologo, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/google-agents-cli-adk-code of pifferologo/cloud-agents-cli.
Open the folder on GitHubat commit 5957f5a
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in pifferologo/cloud-agents-cli, which our catalogue first saw on October 7, 2026.
Google Agents CLI Adk Code next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Google Agents CLI Adk Code this skillpifferologo/cloud-agents-cli | 129 | 1 repos | ~768 | Automated safety check: Pass | Apache-2.0 | |
| Edgeone Makers ToolsTencentEdgeOne/edgeone-makers-tools | 1.9k | 1 repos | ~516 | Automated safety check: Pass | MIT | |
| Langgraph State Managementsoba-labs/langchain-agent-skills | 107 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Langchain4j AI Services Patternsgiuseppe-trisciuoglio/developer-kit | 355 | 1 repos | ~1.6k | Automated safety check: Notes | MIT | |
| Building Pydantic AI Agentsdocling-project/docling | 68k | — | ~2.8k | Automated safety check: Pass | MIT | |
| LangGraph Decision Modelslangchain-ai/langchain-skills | 1.3k | — | ~2.3k | Automated safety check: Pass | MIT |
TencentEdgeOne/edgeone-makers-tools
EdgeOne Makers platform development router — the single entry point for building, storing data, and deploying on Tencent EdgeOne Makers.
soba-labs/langchain-agent-skills
Design state schemas, implement reducers, configure persistence, and debug state issues for LangGraph applications.
giuseppe-trisciuoglio/developer-kit
Provides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent implementation, and conversational AI in Java.
docling-project/docling
Patterns and tested examples for building agents with Pydantic AI: tools, capabilities, structured output, dependency injection, hooks, YAML specs, streaming and testing.
langchain-ai/langchain-skills
Routes LangGraph agents with typed decision models that return probabilities, and finds LLM calls that only exist to produce a routing decision.
oracle/accelerated-data-science
Deploy LLM models on OCI using AI Quick Actions (AQUA) - single model, multi-model, stacked (LoRA), with GPU shape selection, vLLM configuration, streaming, and tool calling.
pifferologo/cloud-agents-cli
This skill should be used when the user wants to "set up tracing", "monitor my ADK agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring…
pifferologo/cloud-agents-cli
This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or…
pifferologo/cloud-agents-cli
This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud…
pifferologo/cloud-agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs…
pifferologo/cloud-agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini Enterprise", "publish to Gemini Enterprise", or needs guidance on the…
pifferologo/cloud-agents-cli
This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "deploy an agent", "publish an agent"…
Works with
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent…. Google Agents CLI Adk Code is an agent skill from pifferologo/cloud-agents-cli. This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent Development Kit) Python API patterns and code examples.
Google Agents CLI Adk Code fits situations like: wants to write agent code; build an agent with ADK; create a callback; define an agent.
Run `npx skills add pifferologo/cloud-agents-cli --skill google-agents-cli-adk-code -a claude-code`. Or copy the skill folder (skills/google-agents-cli-adk-code in pifferologo/cloud-agents-cli) into .claude/skills/google-agents-cli-adk-code in your project. Claude Code loads it when a task matches its description.
Run `npx skills add pifferologo/cloud-agents-cli --skill google-agents-cli-adk-code -a codex`. Or copy the skill folder (skills/google-agents-cli-adk-code in pifferologo/cloud-agents-cli) into .agents/skills/google-agents-cli-adk-code in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pifferologo/cloud-agents-cli --skill google-agents-cli-adk-code -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-agents-cli-adk-code, .gemini/skills/google-agents-cli-adk-code, .github/skills/google-agents-cli-adk-code and .opencode/skills/google-agents-cli-adk-code in your project.
Going by SKILL.md and its folder, Google Agents CLI Adk Code needs the command-line tools its instructions call (curl). Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: adk.dev; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Google Agents CLI Adk Code is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 768 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 13k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Google Agents CLI Adk Code: Edgeone Makers Tools (TencentEdgeOne/edgeone-makers-tools, 1.9k stars), Langgraph State Management (soba-labs/langchain-agent-skills, 107 stars), Langchain4j AI Services Patterns (giuseppe-trisciuoglio/developer-kit, 355 stars) and Building Pydantic AI Agents (docling-project/docling, 68k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
pifferologo (a GitHub user) maintains it in pifferologo/cloud-agents-cli, which has 129 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 3, 2026.
Source: pifferologo/cloud-agents-cli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.