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Agent skill
Orchestrating Multi Agent Systems
by jeremylongshore in jeremylongshore/tons-of-skills-marketplace
Execute orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers.
Install Orchestrating Multi Agent Systems
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill orchestrating-multi-agent-systems -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace orchestrating-multi-agent-systems --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/orchestrating-multi-agent-systems .claude/skills/orchestrating-multi-agent-systems && 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 "orchestrating-multi-agent-systems" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/orchestrating-multi-agent-systems into .claude/skills/orchestrating-multi-agent-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "orchestrating-multi-agent-systems", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/orchestrating-multi-agent-systemsType 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 jeremylongshore/tons-of-skills-marketplace --skill orchestrating-multi-agent-systems -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace orchestrating-multi-agent-systems --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/orchestrating-multi-agent-systems .agents/skills/orchestrating-multi-agent-systems && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "orchestrating-multi-agent-systems" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/orchestrating-multi-agent-systems into .agents/skills/orchestrating-multi-agent-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "orchestrating-multi-agent-systems", 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 jeremylongshore/tons-of-skills-marketplace --skill orchestrating-multi-agent-systems -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace orchestrating-multi-agent-systems --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/orchestrating-multi-agent-systems .cursor/skills/orchestrating-multi-agent-systems && 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 "orchestrating-multi-agent-systems" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/orchestrating-multi-agent-systems into .cursor/skills/orchestrating-multi-agent-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "orchestrating-multi-agent-systems", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/orchestrating-multi-agent-systems--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 jeremylongshore/tons-of-skills-marketplace --skill orchestrating-multi-agent-systems -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace orchestrating-multi-agent-systems --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/orchestrating-multi-agent-systems .gemini/skills/orchestrating-multi-agent-systems && 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 "orchestrating-multi-agent-systems" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/orchestrating-multi-agent-systems into .gemini/skills/orchestrating-multi-agent-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "orchestrating-multi-agent-systems", 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 jeremylongshore/tons-of-skills-marketplace orchestrating-multi-agent-systemsInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill orchestrating-multi-agent-systems -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/orchestrating-multi-agent-systems .github/skills/orchestrating-multi-agent-systems && 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 "orchestrating-multi-agent-systems" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/orchestrating-multi-agent-systems into .github/skills/orchestrating-multi-agent-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "orchestrating-multi-agent-systems", 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 jeremylongshore/tons-of-skills-marketplace --skill orchestrating-multi-agent-systems -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace orchestrating-multi-agent-systems --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/orchestrating-multi-agent-systems .opencode/skills/orchestrating-multi-agent-systems && 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 "orchestrating-multi-agent-systems" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/orchestrating-multi-agent-systems into .opencode/skills/orchestrating-multi-agent-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "orchestrating-multi-agent-systems", 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.
Facts
- Skill name
orchestrating-multi-agent-systems- GitHub stars
- 2.8k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 601 words
- Files
- 13 (incl. scripts, references, assets)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Execute orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers.
- Works in 10 steps: Initialize a TypeScript project with… → Install AI SDK v5 core and provider… → Define agent roles by creating separate… → …
- Building complex AI systems requiring agent collaboration
- SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
- Runs Python and TypeScript scripts from its folder; calls npm; needs OPENAI_API_KEY and ANTHROPIC_API_KEY
What it does
Orchestrating Multi Agent Systems is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers. Use when building complex AI systems requiring agent collaboration, task delegation, or workflow coordination. Trigger with phrases like "create multi-agent system", "orchestrate agents", or "coordinate agent workflows".
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts, reference files and assets (for example `assets/README.md`, `assets/agent_template.ts` and `assets/example_coordinator.ts`). Compatibility notes: Designed for Claude Code
It sits in Agent Workflows, covering Multi-agent orchestration. It works with TypeScript, Vercel AI SDK and Zod. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Building complex AI systems requiring agent collaboration
- Task delegation
- Workflow coordination
- With phrases like create multi-agent system
Example prompts
- “create multi-agent system”
- “orchestrate agents”
- “coordinate agent workflows”
- “/orchestrating-multi-agent-systems”
Requirements
- Python 3
- Node.js
- A credential in OPENAI_API_KEY
- A credential in ANTHROPIC_API_KEY
- Compatibility (from SKILL.md): Designed for Claude Code
- Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(npm:*)
Workflow steps
10 steps, taken from the first numbered list in SKILL.md.
- Initialize a TypeScript project with tsconfig.json targeting ES2022 and moduleResolution bundler
- Install AI SDK v5 core and provider packages for each model backend required
- Define agent roles by creating separate modules per agent, each with a system prompt, model binding, and scoped tool set
- Implement tool functions using ai.tool() with Zod input/output schemas for type-safe execution
- Configure handoff rules using ai.handoff() to delegate tasks between agents with clear trigger conditions and context passing
- Build routing logic that classifies incoming requests by topic or intent and dispatches to the appropriate specialist agent
- Wire agents into a workflow using sequential, parallel, or conditional orchestration patterns
- Add state management to persist context across multi-step workflows using a shared context object or external store
- Implement circuit breakers and timeout guards to prevent workflow deadlocks
- Test each agent in isolation, then validate end-to-end handoff chains with representative inputs
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGrepGlobBash(npm:*)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 4 files in scripts/ (Python and TypeScript), which the agent can run.
Shell commands in SKILL.md call:
npm
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
sdk.vercel.aizod.dev
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEYANTHROPIC_API_KEYGOOGLE_GENERATIVE_AI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Context cost
Orchestrating Multi Agent Systems loads about 1.4k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 601 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 601 words, ~1,369 tokens.
Download SKILL.mdSave it as
.claude/skills/orchestrating-multi-agent-systems/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.- name
- orchestrating-multi-agent-systems
- description
- Execute orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers. Use when building complex AI systems requiring agent collaboration, task delegation, or workflow coordination. Trigger with phrases like "create multi-agent system", "orchestrate agents", or "coordinate agent workflows".
- allowed-tools
- Read, Write, Edit, Grep, Glob, Bash(npm:*)
- compatibility
- Designed for Claude Code
- version
- 1.37.0
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- tags
- ai, workflow, agent-orchestration
Orchestrating Multi-Agent Systems
Overview
Design and implement multi-agent systems using AI SDK v5 with structured handoffs, intelligent routing, and coordinated workflows across AI providers. This skill covers agent role definition, tool scoping, inter-agent delegation via handoff rules, and workflow orchestration patterns including coordinator-worker and supervisor topologies.
Prerequisites
- Node.js 18+ and TypeScript 5.0+ runtime
- AI SDK v5 (
npm install ai @ai-sdk/openai @ai-sdk/anthropic @ai-sdk/google) - API keys for target providers set in environment variables (
OPENAI_API_KEY,ANTHROPIC_API_KEY,GOOGLE_GENERATIVE_AI_API_KEY) - Zod for input/output schema validation (
npm install zod) - Familiarity with agent-based architecture patterns (coordinator, pipeline, broadcast)
Instructions
- Initialize a TypeScript project with
tsconfig.jsontargeting ES2022 and moduleResolutionbundler - Install AI SDK v5 core and provider packages for each model backend required
- Define agent roles by creating separate modules per agent, each with a system prompt, model binding, and scoped tool set
- Implement tool functions using
ai.tool()with Zod input/output schemas for type-safe execution - Configure handoff rules using
ai.handoff()to delegate tasks between agents with clear trigger conditions and context passing - Build routing logic that classifies incoming requests by topic or intent and dispatches to the appropriate specialist agent
- Wire agents into a workflow using sequential, parallel, or conditional orchestration patterns
- Add state management to persist context across multi-step workflows using a shared context object or external store
- Implement circuit breakers and timeout guards to prevent workflow deadlocks
- Test each agent in isolation, then validate end-to-end handoff chains with representative inputs
See ${CLAUDE_SKILL_DIR}/references/implementation.md for the detailed implementation guide.
Output
- TypeScript agent modules with AI SDK v5 provider bindings and system prompts
- Tool definitions with Zod-validated input/output schemas
- Handoff configuration mapping agent-to-agent delegation triggers
- Workflow orchestration files defining sequential, parallel, and conditional execution paths
- Routing classifier that maps user intents to specialist agents
- Integration test suite covering handoff chains and fallback paths
Show full SKILL.md (297 more words)Show less
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Provider configuration invalid | Missing or malformed API key in environment | Verify process.env.*_API_KEY values; check provider SDK version compatibility |
| Circular handoff detected | Agent A hands off to B which hands back to A | Implement handoff depth counter; set maxHandoffDepth and add a fallback terminal agent |
| Task routed to no agent | Routing classifier returned no match for input | Add a default catch-all route; improve classifier training data or keyword coverage |
| Tool access violation | Agent invoked a tool outside its scoped permission set | Review tools array per agent; ensure tool names match registered definitions exactly |
| Workflow timeout | Multi-step workflow exceeded deadline without completion | Set per-step timeouts with AbortController; add workflow-level deadline and partial-result handling |
See ${CLAUDE_SKILL_DIR}/references/errors.md for the full error reference.
Examples
Scenario 1: Customer Support Triage -- A coordinator agent classifies incoming tickets as billing, technical, or general. Billing queries hand off to a specialist agent with access to Stripe tools. Technical queries route to a code-analysis agent with filesystem read tools. Resolution rate target: 85% automated within 3 handoff steps.
Scenario 2: Research Pipeline -- A sequential workflow chains a web-search agent, a summarization agent, and a report-writer agent. Each agent produces structured JSON output consumed by the next. The pipeline processes 50 research queries per batch with a p95 latency under 30 seconds per query.
Scenario 3: Code Review Multi-Agent -- A supervisor agent distributes pull request diffs to specialized reviewers (security, performance, style). Each reviewer returns findings with severity scores. The supervisor aggregates results into a unified review with prioritized action items.
See ${CLAUDE_SKILL_DIR}/references/examples.md for additional examples.
Resources
- AI SDK v5 Documentation -- agent creation, tool definitions, handoffs
- Zod Schema Library -- input/output validation for tools and flows
- Provider integration guides: OpenAI, Anthropic, Google Gemini
- Coordinator-worker and supervisor orchestration pattern references
- OpenTelemetry tracing for multi-agent observability
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 12 other files (scripts, references, assets) in skills/.curated/orchestrating-multi-agent-systems of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- assets/README.md
- assets/agent_template.ts
- assets/example_coordinator.ts
- assets/example_workflow.json
- references/README.md
- references/errors.md
- references/examples.md
- references/implementation.md
- scripts/README.md
- scripts/agent_setup.py
- scripts/dependency_installer.py
- scripts/env_setup.py
Open the folder on GitHubat commit cfae287
Compare with similar skills
Orchestrating Multi Agent Systems 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 |
|---|---|---|---|---|---|---|
| Orchestrating Multi Agent Systems this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.4k | Automated safety check: Pass | MIT | |
| OpenCode Plugin CreatorDevin-AXIS/iPolloWork | 6.8k | 1 repos | ~1.3k | Automated safety check: Pass | Custom licence | |
| Ultraapp InterviewEnderfga/claw-orchestrator | 589 | — | ~1.7k | Automated safety check: Pass | MIT | |
| MCP SDK Auditawdr74100/figwright | 1k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Tla Precheckkingbootoshi/tla-precheck | 113 | — | ~1.4k | Automated safety check: Pass | None | |
| Skill Managerseasonedcc/remix-forms | 514 | — | ~6.1k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Orchestrating Multi Agent Systems
What does Orchestrating Multi Agent Systems do?
Execute orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers. Orchestrating Multi Agent Systems is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers.
When should I use Orchestrating Multi Agent Systems?
Orchestrating Multi Agent Systems fits situations like: building complex AI systems requiring agent collaboration; task delegation; workflow coordination; with phrases like create multi-agent system.
How do I install Orchestrating Multi Agent Systems in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill orchestrating-multi-agent-systems -a claude-code`. Or copy the skill folder (skills/.curated/orchestrating-multi-agent-systems in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/orchestrating-multi-agent-systems in your project. Claude Code loads it when a task matches its description.
How do I install Orchestrating Multi Agent Systems in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill orchestrating-multi-agent-systems -a codex`. Or copy the skill folder (skills/.curated/orchestrating-multi-agent-systems in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/orchestrating-multi-agent-systems in your project. Codex loads it when a task matches its description.
Can I use Orchestrating Multi Agent Systems in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill orchestrating-multi-agent-systems -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/orchestrating-multi-agent-systems, .gemini/skills/orchestrating-multi-agent-systems, .github/skills/orchestrating-multi-agent-systems and .opencode/skills/orchestrating-multi-agent-systems in your project.
What does Orchestrating Multi Agent Systems need to run?
Going by SKILL.md and its folder, Orchestrating Multi Agent Systems needs Python and TypeScript for the scripts in its folder, the command-line tools its instructions call (npm) and credentials named OPENAI_API_KEY, ANTHROPIC_API_KEY and GOOGLE_GENERATIVE_AI_API_KEY. Our summary lists: Python 3; Node.js; A credential in OPENAI_API_KEY; A credential in ANTHROPIC_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(npm:*). Compatibility (from SKILL.md): Designed for Claude Code.
Does Orchestrating Multi Agent Systems access the network?
SKILL.md names 2 domains. As links in the text: sdk.vercel.ai and zod.dev. This is read from the text; nothing was executed.
Is Orchestrating Multi Agent Systems safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Orchestrating Multi Agent Systems use?
Orchestrating Multi Agent Systems is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Orchestrating Multi Agent Systems use?
About 1.4k tokens (SKILL.md is roughly 5.5k 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 3.9k tokens, read only when the agent opens those files.
What are the alternatives to Orchestrating Multi Agent Systems?
Skills that share tags, products or a category with Orchestrating Multi Agent Systems: OpenCode Plugin Creator (Devin-AXIS/iPolloWork, 6.8k stars), Ultraapp Interview (Enderfga/claw-orchestrator, 589 stars), MCP SDK Audit (awdr74100/figwright, 1k stars) and Tla Precheck (kingbootoshi/tla-precheck, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Orchestrating Multi Agent Systems?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.