Global Rank · of 601 Skills
deploy-agent-team AI Agent Skill
View Source: b-open-io/prompts
MediumInstallation
npx skills add b-open-io/prompts --skill deploy-agent-team 10
Installs
Deploy Agent Team
Deploy a coordinated team of specialized agents from the bopen-tools kit using Claude Code's agent team system. Agents work in parallel on independent tasks and communicate through a shared task list and message bus.
Prerequisites
Agent teams require this env var to be set:
CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1Add to ~/.claude/settings.json:
{
"env": {
"CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"
}
}Without this, TeamCreate will fail.
Critical: Set mode on Every Agent Spawn
WARNING: The default permission mode will block teammates waiting for permission prompts that never arrive, stalling the whole team.
Always set mode: "bypassPermissions" when spawning teammates:
Agent(
subagent_type: "bopen-tools:designer",
team_name: "feature-billing",
name: "designer",
mode: "bypassPermissions", # ← REQUIRED
prompt: "..."
)See references/permissions-and-isolation.md for all mode options and worktree isolation.
Available Agent Roster (Abbreviated)
| Agent | subagent_type | Best for |
|---|---|---|
| researcher | bopen-tools:researcher |
Libraries, APIs, docs, competitive analysis |
| nextjs | bopen-tools:nextjs |
Next.js, React, Vercel, RSC, app router |
| designer | bopen-tools:designer |
UI, Tailwind, shadcn/ui, accessibility |
| agent-builder | bopen-tools:agent-builder |
AI agent systems, LLM integration, Vercel AI SDK |
| database | bopen-tools:database |
Schema, queries, PostgreSQL, Redis, Convex |
| integration-expert | bopen-tools:integration-expert |
REST APIs, webhooks, third-party services |
| code-auditor | bopen-tools:code-auditor |
Security review, vulnerability scanning |
| tester | bopen-tools:tester |
Unit, integration, e2e tests, CI |
| documentation-writer | bopen-tools:documentation-writer |
READMEs, API docs, PRDs, guides |
| devops | bopen-tools:devops |
Vercel+Railway+Bun, CI/CD, monitoring |
| optimizer | bopen-tools:optimizer |
Bundle analysis, Lighthouse, Core Web Vitals |
| architecture-reviewer | bopen-tools:architecture-reviewer |
System design, refactoring strategy, tech debt |
| mobile | bopen-tools:mobile |
React Native, Swift, Kotlin, Flutter |
| payments | bopen-tools:payments |
Stripe, billing, financial transactions |
| marketer | bopen-tools:marketer |
CRO, SEO, copy, launch strategy |
| legal | product-skills:legal |
Privacy, compliance, ToS |
| mcp | bopen-tools:mcp |
MCP server setup, config, diagnostics |
Full roster with per-agent skills to mention in spawn prompts: references/agent-roster.md
Full Team Lifecycle
Step 1: Decompose the task
Before calling any tools, identify:
- What domains are involved? (frontend, backend, testing, docs, security...)
- Which tasks can run in parallel vs. must be sequential?
- What are the dependencies? (schema before API, API before tests)
Step 2: Create the team
TeamCreate(
team_name: "feature-billing",
description: "Implement Stripe billing with UI, API, tests, and docs"
)Step 3: Create tasks upfront
Set dependencies with addBlockedBy where order matters:
TaskCreate(
subject: "Design billing UI components",
description: "Create PricingCard, BillingHistory, UpgradeModal using shadcn/ui.
Repo: ~/code/myapp. Tailwind v4. Output: src/components/billing/.",
activeForm: "Designing billing UI"
) → id: "1"
TaskCreate(
subject: "Implement Stripe integration",
description: "Set up webhooks, subscription creation, customer portal.
Repo: ~/code/myapp. API routes in app/api/billing/.",
activeForm: "Implementing Stripe integration"
) → id: "2"
TaskCreate(
subject: "Write billing test suite",
description: "Vitest tests for all billing API routes and webhook handler.
Repo: ~/code/myapp. Tests in __tests__/billing/.",
activeForm: "Writing billing tests"
) → id: "3"
TaskUpdate(taskId: "3", addBlockedBy: ["2"]) # tests wait for Stripe implStep 4: Spawn teammates
Agent(
subagent_type: "bopen-tools:designer",
team_name: "feature-billing",
name: "designer",
mode: "bypassPermissions",
prompt: "..." # see references/spawn-prompt-guide.md
)Every spawn prompt must be self-contained — teammates have zero conversation history. See references/spawn-prompt-guide.md for the full template and how to list each agent's available skills.
Step 5: Monitor and coordinate
Messages from teammates arrive automatically. Check progress:
TaskList()Answer a blocked teammate:
SendMessage(
type: "message",
recipient: "backend",
content: "Stripe webhook secret is STRIPE_WEBHOOK_SECRET in .env.local",
summary: "Stripe secret location"
)Step 6: Shutdown and cleanup
SendMessage(type: "shutdown_request", recipient: "designer", content: "Work complete")
SendMessage(type: "shutdown_request", recipient: "backend", content: "Work complete")
SendMessage(type: "shutdown_request", recipient: "tester", content: "Work complete")
# Wait for each shutdown_response, then:
TeamDelete()Task Decomposition Patterns
Feature implementation
Parallel from the start:
├── researcher: research best practices / prior art
├── designer: UI components
├── nextjs or integration-expert: API / server logic
└── database: schema changes
Blocked until implementation complete:
├── tester: test suite
└── documentation-writer: feature docsSecurity audit + fix
Parallel:
├── code-auditor: full vulnerability scan (Semgrep, CodeQL)
└── architecture-reviewer: structural/design issues
Blocked until audit complete:
├── nextjs or integration-expert: fix findings
└── tester: regression testsLaunch prep
Parallel:
├── code-auditor: security review
├── tester: coverage audit
├── optimizer: Lighthouse + bundle
├── documentation-writer: user-facing docs
└── legal: privacy / ToS
Blocked until all above complete:
└── devops: deploy pipelineKey Rules
mode: "bypassPermissions"on every Agent spawn or teammates block- Self-contained prompts: teammates get zero conversation history — include repo path, conventions, and full context
- Mention agent skills in spawn prompts — each agent has specialized skills; tell them which to use
- One task at a time: claim → complete → claim next. No parallel hoarding
- No JSON in messages: use TaskUpdate for status. SendMessage is plain text only
- Idle is normal: teammates go idle between tasks. Send a message to wake them
- No nested teams: only the lead calls TeamCreate
- Shutdown before TeamDelete: TeamDelete fails if any teammate is still active
- Broadcast sparingly: each broadcast = one API call per teammate
Troubleshooting
| Problem | Fix |
|---|---|
TeamCreate fails |
Check CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set |
| Teammate blocks/stalls | Missing mode: "bypassPermissions" — always set this |
| Teammate not claiming tasks | Check blockedBy deps with TaskGet |
| Teammate idle and unresponsive | Send a direct SendMessage — idle agents wake on receipt |
TeamDelete fails |
Teammates still running. Send shutdown_request to each |
| Teammate went off-script | Send correction via SendMessage. If severe, shutdown and respawn |
References
references/permissions-and-isolation.md—modeparameter options, worktree isolation for parallel editsreferences/agent-roster.md— full roster table + which skills to mention per agent in spawn promptsreferences/spawn-prompt-guide.md— complete spawn prompt template with skills section
Installs
Security Audit
View Source
b-open-io/prompts
More from this source
Power your AI Agents with
the best open-source models.
Drop-in OpenAI-compatible API. No data leaves Europe.
Explore Inference APIGLM
GLM 5
$1.00 / $3.20
per M tokens
Kimi
Kimi K2.5
$0.60 / $2.80
per M tokens
MiniMax
MiniMax M2.5
$0.30 / $1.20
per M tokens
Qwen
Qwen3.5 122B
$0.40 / $3.00
per M tokens
How to use this skill
Install deploy-agent-team by running npx skills add b-open-io/prompts --skill deploy-agent-team in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of deploy-agent-team, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
Chat with 100+ AI Models in one App.
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, GLM-5, Kimi K2.5 and many more.