Adk Agent Builder
google/adk-python
Builds ADK (Agent Development Kit) Python agents: LLM agents with tools, graph workflows of function and agent nodes, conditional routing, fan-out and join, schema-validated delegation between…
Multi-agent workflow examples to work together on the OpenServ Platform.
$ npx skills add internet-court/internet-court-skill --skill openserv-multi-agent-workflows -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install internet-court/internet-court-skill openserv-multi-agent-workflows --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/internet-court/internet-court-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/vendored/openserv/openserv-multi-agent-workflows .claude/skills/openserv-multi-agent-workflows && 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 "openserv-multi-agent-workflows" agent skill from https://github.com/internet-court/internet-court-skill/tree/main/vendored/openserv/openserv-multi-agent-workflows into .claude/skills/openserv-multi-agent-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openserv-multi-agent-workflows", 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/internet-court/internet-court-skill/tree/main/vendored/openserv/openserv-multi-agent-workflowsType 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 internet-court/internet-court-skill --skill openserv-multi-agent-workflows -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install internet-court/internet-court-skill openserv-multi-agent-workflows --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/internet-court/internet-court-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/vendored/openserv/openserv-multi-agent-workflows .agents/skills/openserv-multi-agent-workflows && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "openserv-multi-agent-workflows" agent skill from https://github.com/internet-court/internet-court-skill/tree/main/vendored/openserv/openserv-multi-agent-workflows into .agents/skills/openserv-multi-agent-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openserv-multi-agent-workflows", 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 internet-court/internet-court-skill --skill openserv-multi-agent-workflows -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install internet-court/internet-court-skill openserv-multi-agent-workflows --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/internet-court/internet-court-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/vendored/openserv/openserv-multi-agent-workflows .cursor/skills/openserv-multi-agent-workflows && 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 "openserv-multi-agent-workflows" agent skill from https://github.com/internet-court/internet-court-skill/tree/main/vendored/openserv/openserv-multi-agent-workflows into .cursor/skills/openserv-multi-agent-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openserv-multi-agent-workflows", 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/internet-court/internet-court-skill.git --path vendored/openserv/openserv-multi-agent-workflows--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 internet-court/internet-court-skill --skill openserv-multi-agent-workflows -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install internet-court/internet-court-skill openserv-multi-agent-workflows --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/internet-court/internet-court-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/vendored/openserv/openserv-multi-agent-workflows .gemini/skills/openserv-multi-agent-workflows && 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 "openserv-multi-agent-workflows" agent skill from https://github.com/internet-court/internet-court-skill/tree/main/vendored/openserv/openserv-multi-agent-workflows into .gemini/skills/openserv-multi-agent-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openserv-multi-agent-workflows", 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 internet-court/internet-court-skill openserv-multi-agent-workflowsInstalls 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 internet-court/internet-court-skill --skill openserv-multi-agent-workflows -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/internet-court/internet-court-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/vendored/openserv/openserv-multi-agent-workflows .github/skills/openserv-multi-agent-workflows && 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 "openserv-multi-agent-workflows" agent skill from https://github.com/internet-court/internet-court-skill/tree/main/vendored/openserv/openserv-multi-agent-workflows into .github/skills/openserv-multi-agent-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openserv-multi-agent-workflows", 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 internet-court/internet-court-skill --skill openserv-multi-agent-workflows -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install internet-court/internet-court-skill openserv-multi-agent-workflows --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/internet-court/internet-court-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/vendored/openserv/openserv-multi-agent-workflows .opencode/skills/openserv-multi-agent-workflows && 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 "openserv-multi-agent-workflows" agent skill from https://github.com/internet-court/internet-court-skill/tree/main/vendored/openserv/openserv-multi-agent-workflows into .opencode/skills/openserv-multi-agent-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openserv-multi-agent-workflows", 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.
openserv-multi-agent-workflowsMulti-agent workflow examples to work together on the OpenServ Platform.
Openserv Multi Agent Workflows is an agent skill from internet-court/internet-court-skill. Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files (for example `examples/blog-pipeline.md`, `examples/content-creation-pipeline.md` and `examples/crypto-alpha-pipeline.md`).
It sits in Agent Workflows, covering Multi-agent orchestration and Building AI agents. The repository describes itself as: The trust layer for agent-to-agent commerce — natural-language mandates, ERC-7710 delegated permissions, x402 payments, escrow, and dispute resolution as one open, catch-all… The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit fa89195. 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:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From 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.
Openserv Multi Agent Workflows loads about 1.6k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 588 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 internet-court/internet-court-skill at commit fa89195, republished under its MIT licence (© internet-court). 588 words, ~1,616 tokens.
.claude/skills/openserv-multi-agent-workflows/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.Build workflows where multiple AI agents collaborate to complete complex tasks.
Reference files:
reference.md - Workflow patterns, declarative sync, triggers, monitoringtroubleshooting.md - Common issues and solutionsexamples/ - Complete pipeline examples (blog, youtube-to-blog, etc.)See examples/ for complete runnable examples:
blog-pipeline.md - Simple 2-agent workflow (research → write)content-creation-pipeline.md - 3-agent workflow (research → write → image)life-coaching-pipeline.md - Complex 6-agent workflow with comprehensive input schemaRecommended pattern using workflows.sync():
client.authenticate()client.agents.listMarketplace()client.workflows.create() including:⚠️ CRITICAL: Always define edges when creating workflows. Setting task dependencies is NOT enough - you must create workflow edges to actually connect triggers to tasks and tasks to each other.
When creating workflows (via workflows.create() or provision()), two properties are critical:
name (string) - This becomes the agent name in ERC-8004. Make it polished, punchy, and memorable — this is the public-facing brand name users see. Think product launch, not variable name. Examples: 'Instant Blog Machine', 'AI Video Studio', 'Polymarket Intelligence'.goal (string, required) - A detailed description of what the workflow accomplishes. Must be descriptive and thorough — short or vague goals will cause API calls to fail. Write at least a full sentence explaining the end-to-end purpose of the workflow.A workflow (workspace) is a container that holds multiple agents and their tasks.
dependencies: [taskId1, taskId2]done// Search marketplace for agents by name/capability (semantic search)
const result = await client.agents.listMarketplace({ search: 'research' })
const agents = result.items // Array of marketplace agents
// Get agent details
const agent = await client.agents.get({ id: 123 })
console.log(agent.capabilities_description)
// Note: client.agents.searchOwned() only searches YOUR OWN agents
// Use listMarketplace() to find public agents for multi-agent workflowsCommon agent types: Research (Grok, Perplexity), Content writers, Data analysis, Social media (Nano Banana Pro), Video/audio creators.
CRITICAL: Carefully design your workflow edges to avoid creating tangled "spaghetti" graphs.
A well-designed workflow has clear, intentional data flow. Common mistakes lead to unmaintainable workflows.
┌──────────────────────────────────┐
│ ┌─────────┐ │
│ ┌─────┤ Agent A ├─────┐ │
│ │ └────┬────┘ │ │
│ │ │ │ │
Trigger ─┼─────┼──────────┼──────────┼──────┤
│ │ │ │ │
│ │ ┌────┴────┐ │ │
│ └─────┤ Agent B ├─────┘ │
│ └─────────┘ │
└──────────────────────────────────┘
(Spaghetti - avoid this!)This creates:
Sequential Pipeline:
Trigger → Research → Content → Enhancement → OutputStaged Fan-Out:
┌─ Task A ─┐
Trigger → Research ─┼─ Task B ─┼─→ Combiner → Output
└─ Task C ─┘Conditional Branching (v1.1.3+):
┌─[approved]─→ Process
Trigger → Review ──┤
└─[rejected]─→ Reject HandlerUse outputOptions on tasks and sourcePort on edges for branching.
This skill may be outdated. The OpenServ team ships updates regularly—new features, API changes, and bug fixes won't be reflected here until you update. If something isn't working as expected, or you want to make sure you have the latest information, update the skill before proceeding.
# Check if updates are available
npx skills check
# Update all installed skills to latest versions
npx skills updateOr reinstall the OpenServ skills directly:
npx skills add openserv-labs/skills© internet-court, MIT. 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 14 other files in vendored/openserv/openserv-multi-agent-workflows of internet-court/internet-court-skill.
Open the folder on GitHubat commit fa89195
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in internet-court/internet-court-skill, which our catalogue first saw on October 7, 2026.
Openserv Multi Agent Workflows 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 |
|---|---|---|---|---|---|---|
| Openserv Multi Agent Workflows this skillinternet-court/internet-court-skill | 6.5k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Adk Agent Buildergoogle/adk-python | 22k | — | ~879 | Automated safety check: Pass | Apache-2.0 | |
| Agents Buildaws/agent-toolkit-for-aws | 2.8k | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | |
| Omnigent Agent Builderomnigent-ai/omnigent | 11k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Feishu Multi Agenthyperlist/feishu-multi-agent | 273 | — | ~419 | Automated safety check: Pass | None | |
| Swarmclawswarmclawai/swarmclaw | 688 | — | ~2k | Automated safety check: Pass | MIT |
google/adk-python
Builds ADK (Agent Development Kit) Python agents: LLM agents with tools, graph workflows of function and agent nodes, conditional routing, fan-out and join, schema-validated delegation between…
aws/agent-toolkit-for-aws
A skill your agent uses to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal.
omnigent-ai/omnigent
Gives patterns for generating a minimal, valid Omnigent agent directory: the config.yaml fields, the right executor type, and the files each agent needs.
hyperlist/feishu-multi-agent
飞书多 Agent 系统搭建指南。当用户要求创建新的功能 Agent、配置飞书群聊绑定、 搭建多 Agent 协作系统时激活此 skill。
swarmclawai/swarmclaw
AI agent runtime and multi-agent orchestration platform. An agent skill from swarmclawai/swarmclaw.
swarmclawai/swarmclaw
Manage your SwarmClaw agent fleet — agents, tasks, chats, chatrooms, goals, schedules, memory, wallets, connectors, autonomy, and 40+ more command groups.
internet-court/internet-court-skill
Uploads one Kleros-related file per paid request to IPFS through the Kleros x402 gateway for 0.01 USDC on Base, returning a CID that Kleros contracts can reference.
internet-court/internet-court-skill
Guides building on the 0G Compute Network, a decentralized GPU marketplace for AI inference and fine-tuning, with SDK patterns and CLI commands.
internet-court/internet-court-skill
Creates, trades and settles permissionless prediction markets on Solana with any SPL token as collateral, including social-media and custom-oracle markets.
internet-court/internet-court-skill
Connects an agent to the BNB Chain MCP server to read blocks and contracts, move tokens and NFTs, register ERC-8004 agents and use Greenfield storage.
internet-court/internet-court-skill
Specifies how a GenLayer Intelligent Contract decision about an agent's performance becomes an ERC-7710 revocation or policy change, through a relayer or bridge and an EVM controller.
internet-court/internet-court-skill
Specifies how a GenLayer Intelligent Contract should supervise an AI agent, with review rubrics, evidence schemas and continue, warn, constrain or revoke decisions.
Categories
Multi-agent workflow examples to work together on the OpenServ Platform. Openserv Multi Agent Workflows is an agent skill from internet-court/internet-court-skill. Multi-agent workflow examples to work together on the OpenServ Platform.
Openserv Multi Agent Workflows fits situations like: tasks that involve Multi-agent orchestration; tasks that involve Building AI agents.
Run `npx skills add internet-court/internet-court-skill --skill openserv-multi-agent-workflows -a claude-code`. Or copy the skill folder (vendored/openserv/openserv-multi-agent-workflows in internet-court/internet-court-skill) into .claude/skills/openserv-multi-agent-workflows in your project. Claude Code loads it when a task matches its description.
Run `npx skills add internet-court/internet-court-skill --skill openserv-multi-agent-workflows -a codex`. Or copy the skill folder (vendored/openserv/openserv-multi-agent-workflows in internet-court/internet-court-skill) into .agents/skills/openserv-multi-agent-workflows 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 internet-court/internet-court-skill --skill openserv-multi-agent-workflows -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openserv-multi-agent-workflows, .gemini/skills/openserv-multi-agent-workflows, .github/skills/openserv-multi-agent-workflows and .opencode/skills/openserv-multi-agent-workflows in your project.
Going by SKILL.md and its folder, Openserv Multi Agent Workflows needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. 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.
Openserv Multi Agent Workflows is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Openserv Multi Agent Workflows: Adk Agent Builder (google/adk-python, 22k stars), Agents Build (aws/agent-toolkit-for-aws, 2.8k stars), Omnigent Agent Builder (omnigent-ai/omnigent, 11k stars) and Feishu Multi Agent (hyperlist/feishu-multi-agent, 273 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
internet-court (a GitHub organization) maintains it in internet-court/internet-court-skill, which has 6,471 GitHub stars. The repository holds 80 skills in this directory. The repository was last updated on August 19, 2026.
Source: internet-court/internet-court-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.