| name | team-builder |
| description | Interactive agent picker for composing and dispatching parallel teams |
| source_path | skills/team-builder/SKILL.md |
| origin | community |
Team Builder
Interactive menu for browsing and composing agent teams on demand. Works with flat or domain-subdirectory agent collections.
When to Use
- You have multiple agent personas (markdown files) and want to pick which ones to use for a task
- You want to compose an ad-hoc team from different domains (e.g., Security + SEO + Architecture)
- You want to browse what agents are available before deciding
Prerequisites
Agent files must be markdown files containing a persona prompt (identity, rules, workflow, deliverables). The first # Heading is used as the agent name and the first paragraph as the description.
Both flat and subdirectory layouts are supported:
Subdirectory layout — domain is inferred from the folder name:
agents/
├── engineering/
│ ├── security-engineer.md
│ └── software-architect.md
├── marketing/
│ └── seo-specialist.md
└── sales/
└── discovery-coach.md
Flat layout — domain inferred from shared filename prefixes. A prefix counts as a domain when 2+ files share it. Files with unique prefixes go to "General". Note: the algorithm splits at the first -, so multi-word domains (e.g., product-management) should use the subdirectory layout instead:
agents/
├── engineering-security-engineer.md
├── engineering-software-architect.md
├── marketing-seo-specialist.md
├── marketing-content-strategist.md
├── sales-discovery-coach.md
└── sales-outbound-strategist.md
Configuration
Agent directories are probed in order and results are merged:
./agents/**/*.md + ./agents/*.md — project-local agents (both depths)~/.claude/agents/**/*.md + ~/.claude/agents/*.md — global agents (both depths)
Results from all locations are merged and deduplicated by agent name. Project-local agents take precedence over global agents with the same name. A custom path can be used instead if the user specifies one.
How It Works
Step 1: Discover Available Agents
Glob agent directories using the probe order above. Exclude README files. For each file found:
- Subdirectory layout: extract the domain from the parent folder name
- Flat layout: collect all filename prefixes (text before the first
-). A prefix qualifies as a domain only if it appears in 2 or more filenames (e.g., engineering-security-engineer.md and engineering-software-architect.md both start with engineering → Engineering domain). Files with unique prefixes (e.g., code-reviewer.md, tdd-guide.md) are grouped under "General"
- Extract the agent name from the first
# Heading. If no heading is found, derive the name from the filename (strip .md, replace hyphens with spaces, title-case)
- Extract a one-line summary from the first paragraph after the heading
If no agent files are found after probing all locations, inform the user: "No agent files found. Checked: [list paths probed]. Expected: markdown files in one of those directories." Then stop.
Step 2: Present Domain Menu
Available agent domains:
1. Engineering — Software Architect, Security Engineer
2. Marketing — SEO Specialist
3. Sales — Discovery Coach, Outbound Strategist
Pick domains or name specific agents (e.g., "1,3" or "security + seo"):
- Skip domains with zero agents (empty directories)
- Show agent count per domain
Step 3: Handle Selection
Accept flexible input:
- Numbers: "1,3" selects all agents from Engineering and Sales
- Names: "security + seo" fuzzy-matches against discovered agents
- "all from engineering" selects every agent in that domain
If more than 5 agents are selected, list them alphabetically and ask the user to narrow down: "You selected N agents (max 5). Pick which to keep, or say 'first 5' to use the first five alphabetically."
Confirm selection:
Selected: Security Engineer + SEO Specialist
What should they work on? (describe the task):
Step 4: Spawn Agents in Parallel
- Read each selected agent's markdown file
- Prompt for the task description if not already provided
- Spawn all agents in parallel using the Agent tool:
subagent_type: "general-purpose"prompt: "{agent file content}\n\nTask: {task description}"- Each agent runs independently — no inter-agent communication needed
- If an agent fails (error, timeout, or empty output), note the failure inline (e.g., "Security Engineer: failed — [reason]") and continue with results from agents that succeeded
Step 5: Synthesize Results
Collect all outputs and present a unified report:
- Results grouped by agent
- Synthesis section highlighting:
- Agreements across agents
- Conflicts or tensions between recommendations
- Recommended next steps
If only 1 agent was selected, skip synthesis and present the output directly.
Rules
- Dynamic discovery only. Never hardcode agent lists. New files in the directory auto-appear in the menu.
- Max 5 agents per team. More than 5 produces diminishing returns and excessive token usage. Enforce at selection time.
- Parallel dispatch. All agents run simultaneously — use the Agent tool's parallel invocation pattern.
- Parallel Agent calls, not TeamCreate. This skill uses parallel Agent tool calls for independent work. TeamCreate (a Claude Code tool for multi-agent dialogue) is only needed when agents must debate or respond to each other.
Examples
User: team builder
Claude:
Available agent domains:
1. Engineering (2) — Software Architect, Security Engineer
2. Marketing (1) — SEO Specialist
3. Sales (4) — Discovery Coach, Outbound Strategist, Proposal Strategist, Sales Engineer
4. Support (1) — Executive Summary
Pick domains or name specific agents:
User: security + seo
Claude:
Selected: Security Engineer + SEO Specialist
What should they work on?
User: Review my Next.js e-commerce site before launch
[Both agents spawn in parallel, each applying their specialty to the codebase]
Claude:
## Security Engineer Findings
- [findings...]
## SEO Specialist Findings
- [findings...]
## Synthesis
Both agents agree on: [...]
Tension: Security recommends CSP that blocks inline styles, SEO needs inline schema markup. Resolution: [...]
Next steps: [...]
原文
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