Openai Agents
coco-research/coco
Build AI applications with OpenAI Agents SDK - text agents, voice agents, multi-agent handoffs, tools with Zod schemas, guardrails, and streaming.
Design a small team of AI agents to tackle a complex task in parallel — who does what, how they hand off, and how to keep them coordinated — instead of one overloaded agent doing everything serially.
Install Run An Agent Team
$ npx skills add mohitagw15856/pm-claude-skills --skill run-an-agent-team -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills run-an-agent-team --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/run-an-agent-team .claude/skills/run-an-agent-team && 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 "run-an-agent-team" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/run-an-agent-team into .claude/skills/run-an-agent-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-an-agent-team", 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/mohitagw15856/pm-claude-skills/tree/main/skills/run-an-agent-teamType 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 mohitagw15856/pm-claude-skills --skill run-an-agent-team -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills run-an-agent-team --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/run-an-agent-team .agents/skills/run-an-agent-team && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "run-an-agent-team" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/run-an-agent-team into .agents/skills/run-an-agent-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-an-agent-team", 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 mohitagw15856/pm-claude-skills --skill run-an-agent-team -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills run-an-agent-team --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/run-an-agent-team .cursor/skills/run-an-agent-team && 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 "run-an-agent-team" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/run-an-agent-team into .cursor/skills/run-an-agent-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-an-agent-team", 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/mohitagw15856/pm-claude-skills.git --path skills/run-an-agent-team--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 mohitagw15856/pm-claude-skills --skill run-an-agent-team -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills run-an-agent-team --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/run-an-agent-team .gemini/skills/run-an-agent-team && 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 "run-an-agent-team" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/run-an-agent-team into .gemini/skills/run-an-agent-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-an-agent-team", 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 mohitagw15856/pm-claude-skills run-an-agent-teamInstalls 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 mohitagw15856/pm-claude-skills --skill run-an-agent-team -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/run-an-agent-team .github/skills/run-an-agent-team && 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 "run-an-agent-team" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/run-an-agent-team into .github/skills/run-an-agent-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-an-agent-team", 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 mohitagw15856/pm-claude-skills --skill run-an-agent-team -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills run-an-agent-team --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/run-an-agent-team .opencode/skills/run-an-agent-team && 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 "run-an-agent-team" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/run-an-agent-team into .opencode/skills/run-an-agent-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-an-agent-team", 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
run-an-agent-team- GitHub stars
- 1.4k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 638 words
- Files
- 1
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Design a small team of AI agents to tackle a complex task in parallel — who does what, how they hand off, and how to keep them coordinated — instead of one overloaded agent doing everything serially.
- Works in 6 steps: Check it needs a team. Not every task… → Decompose into roles. Break the task… → Isolate context deliberately. The power… → …
- Asked how do I use multiple AI agents
- SKILL.md covers What This Skill Produces, Required Inputs, Framework: Decompose, Isolate,… and Output Format, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Run An Agent Team is an agent skill from mohitagw15856/pm-claude-skills. Design a small team of AI agents to tackle a complex task in parallel — who does what, how they hand off, and how to keep them coordinated — instead of one overloaded agent doing everything serially. Use when asked how do I use multiple AI agents, set up an agent team, orchestrate agents for, or run agents in parallel. Produces a decomposition of the task into agent roles, a coordination pattern (parallel vs sequential, how outputs combine), the context each agent needs (and what to keep isolated), a…
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Multi-agent orchestration, Backend development and LLM guardrails. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Asked how do I use multiple AI agents
- Set up an agent team
- Orchestrate agents for
- Run agents in parallel
Example prompts
- “/run-an-agent-team”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Check it needs a team. Not every task does — if it's simple or highly sequential with shared context, one agent is better. Use a team when…
- Decompose into roles. Break the task into focused responsibilities, each an agent — a researcher, a builder, a critic, an integrator — so…
- Isolate context deliberately. The power of a team is clean, separate context per agent — decide what each needs and what to keep apart, so…
- Choose the coordination pattern. Parallel (independent then combine), sequential (hand-offs), or a mix — and define exactly how outputs…
- Add a review pass. A separate critic/integrator step catches errors and combines the work — don't trust unreviewed parallel output.
- Guardrail it. Clear objectives, defined output formats, iteration limits, and a human checkpoint keep the team from drifting or looping.
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Run An Agent Team loads about 1.3k tokens when it runs. Until then it costs about 162 tokens; SKILL.md has 638 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 638 words, ~1,278 tokens.
Download SKILL.mdSave it as
.claude/skills/run-an-agent-team/SKILL.md (or your agent's skills folder).- name
- run-an-agent-team
- description
- Design a small team of AI agents to tackle a complex task in parallel — who does what, how they hand off, and how to keep them coordinated — instead of one overloaded agent doing everything serially. Use when asked how do I use multiple AI agents, set up an agent team, orchestrate agents for, or run agents in parallel. Produces a decomposition of the task into agent roles, a coordination pattern (parallel vs sequential, how outputs combine), the context each agent needs (and what to keep isolated), a review/quality step, and the guardrails to keep it from going off the rails — practical multi-agent design for real tasks.
Run an Agent Team
Complex tasks overwhelm a single AI agent — the context gets muddy, quality drops, and it does everything serially. A small team of specialized agents, each with a focused role and clean context, can tackle it in parallel and check each other's work. This designs that team for your task: the roles, how they coordinate and hand off, what context each needs (and what to isolate), and the guardrails — turning "one agent doing everything" into a coordinated effort.
What This Skill Produces
- The task decomposition — the task broken into distinct agent roles, each with a focused responsibility (researcher, drafter, critic, integrator, etc.)
- A coordination pattern — whether agents run in parallel or sequence, how their outputs combine, and where the hand-offs are
- Context design — what each agent needs to know, and (crucially) what to keep isolated so one agent's context doesn't muddy another's (the key to why teams beat one agent)
- A review/quality step — a separate agent or pass to critique and integrate, so quality is checked, not assumed
- Guardrails — how to keep the team on track (clear objectives, defined outputs, a human checkpoint) and avoid runaway loops or drift
- A right-sized recommendation — including when a single agent is genuinely better (not everything needs a team)
Required Inputs
Ask for these if not provided:
- The task — the complex thing you want a team to tackle
- Your setup — the AI tool/framework you're using (Claude Code sub-agents, an agent framework, or manual multi-chat)
- The subtasks — the natural pieces, if you can see them
- Quality bar & stakes — how much the output matters (drives the review rigor)
- Constraints — cost, time, and how much human oversight you want
Framework: Decompose, Isolate, Coordinate, Review
- Check it needs a team. Not every task does — if it's simple or highly sequential with shared context, one agent is better. Use a team when parts are genuinely parallel or benefit from distinct, isolated perspectives.
- Decompose into roles. Break the task into focused responsibilities, each an agent — a researcher, a builder, a critic, an integrator — so each has one clear job.
- Isolate context deliberately. The power of a team is clean, separate context per agent — decide what each needs and what to keep apart, so perspectives stay distinct and context stays sharp.
- Choose the coordination pattern. Parallel (independent then combine), sequential (hand-offs), or a mix — and define exactly how outputs pass between agents and merge.
- Add a review pass. A separate critic/integrator step catches errors and combines the work — don't trust unreviewed parallel output.
- Guardrail it. Clear objectives, defined output formats, iteration limits, and a human checkpoint keep the team from drifting or looping.
Show full SKILL.md (197 more words)Show less
Output Format
Agent team: task [x] · setup [y]
Needs a team? [yes — parts are parallel/benefit from isolation / no — one agent is better because Z]. Roles
| Agent | Responsibility | Context it needs / isolate |
|---|---|---|
| [researcher] | ||
| [builder] | ||
| [critic] | ||
| [integrator] |
Coordination: [parallel / sequential / mix] — outputs combine by [how]. Review pass: [critic/integrator checks & merges]. Guardrails: clear objectives · defined outputs · iteration limit · human checkpoint.
Quality Checks
- Checks whether a team is actually warranted (vs one agent)
- Decomposes into focused agent roles
- Deliberately designs isolated vs shared context (the key advantage)
- Defines the coordination pattern and how outputs combine
- Includes a review/integration pass
- Adds guardrails against drift and runaway loops
Anti-Patterns
- Using a team for a task one agent handles better.
- Agents with muddy, shared context (loses the whole advantage).
- No review pass — trusting unchecked parallel output.
- Vague roles that overlap and conflict.
- Missing guardrails — runaway loops or drift with no human checkpoint.
Example Trigger Phrases
- "How do I use multiple AI agents to build this?"
- "Set up an agent team to research and write this report."
- "Orchestrate several agents for this complex task."
- "Should this be one agent or a team, and how do I structure it?"
- "Design a parallel agent workflow for this."
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/run-an-agent-team of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
Run An Agent Team 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 |
|---|---|---|---|---|---|---|
| Run An Agent Team this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Openai Agentscoco-research/coco | 531 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Orloj GeneratorOrlojHQ/orloj | 123 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Project Developmentguanyang/open-agent-hub | 977 | 2 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Swarm Parallel Dispatchlangchain-ai/langchain-skills | 1.3k | — | ~3k | Automated safety check: Pass | MIT | |
| Fable Foremanolsenbrands/fable-foreman | 143 | — | ~5.2k | Automated safety check: Pass | MIT |
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Questions about Run An Agent Team
What does Run An Agent Team do?
Design a small team of AI agents to tackle a complex task in parallel — who does what, how they hand off, and how to keep them coordinated — instead of one overloaded agent doing everything serially. Run An Agent Team is an agent skill from mohitagw15856/pm-claude-skills. Design a small team of AI agents to tackle a complex task in parallel — who does what, how they hand off, and how to keep them coordinated — instead of one overloaded agent doing everything serially.
When should I use Run An Agent Team?
Run An Agent Team fits situations like: asked how do I use multiple AI agents; set up an agent team; orchestrate agents for; run agents in parallel.
How do I install Run An Agent Team in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill run-an-agent-team -a claude-code`. Or copy the skill folder (skills/run-an-agent-team in mohitagw15856/pm-claude-skills) into .claude/skills/run-an-agent-team in your project. Claude Code loads it when a task matches its description.
How do I install Run An Agent Team in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill run-an-agent-team -a codex`. Or copy the skill folder (skills/run-an-agent-team in mohitagw15856/pm-claude-skills) into .agents/skills/run-an-agent-team in your project. Codex loads it when a task matches its description.
Can I use Run An Agent Team 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 mohitagw15856/pm-claude-skills --skill run-an-agent-team -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/run-an-agent-team, .gemini/skills/run-an-agent-team, .github/skills/run-an-agent-team and .opencode/skills/run-an-agent-team in your project.
What does Run An Agent Team need to run?
SKILL.md names no scripts, command-line tools or credentials: Run An Agent Team is instructions for the agent only.
Does Run An Agent Team access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Run An Agent Team 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. Review the folder before installing.
What licence does Run An Agent Team use?
Run An Agent Team is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Run An Agent Team use?
About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Run An Agent Team?
Skills that share tags, products or a category with Run An Agent Team: Openai Agents (coco-research/coco, 531 stars), Orloj Generator (OrlojHQ/orloj, 123 stars), Project Development (guanyang/open-agent-hub, 977 stars) and Swarm Parallel Dispatch (langchain-ai/langchain-skills, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Run An Agent Team?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.