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feat(skills): add team-builder skill (#501)
* feat(skills): add team-builder skill Interactive agent picker that dynamically discovers agent markdown files, presents a browsable domain menu, and dispatches selected agents in parallel on a user-defined task with synthesized results. * fix: address PR #501 review feedback - Support both flat and subdirectory agent layouts - Multi-path discovery with fallback probe order - Empty-discovery fallback with helpful error message - Enforce 5-agent cap at selection time - Rename sections for clarity (Process → How It Works) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: resolve PR #501 round 2 review feedback - Fix contradictory probe-order semantics: merge-all, not first-wins - Fix flat-layout domain extraction: frequency-based (2+ files) heuristic - Add multi-word domain limitation note for flat layout - Define deterministic ordering for overflow selection (alphabetical) - Clarify TeamCreate as Claude Code tool, not undefined reference - Shorten description frontmatter to ~60 chars Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: resolve PR #501 round 3 review feedback - Flat layout example now shows 2+ files per prefix (marketing, sales) to match the documented 2+ rule - Add filename-based fallback when agent file has no # Heading - Add failure handling for parallel agent spawns in Step 4 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Sebastien Tang <128077249+Sabdenrog@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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skills/team-builder/SKILL.md
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skills/team-builder/SKILL.md
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---
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name: team-builder
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description: Interactive agent picker for composing and dispatching parallel teams
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origin: community
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---
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# Team Builder
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Interactive menu for browsing and composing agent teams on demand. Works with flat or domain-subdirectory agent collections.
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## When to Use
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- You have multiple agent personas (markdown files) and want to pick which ones to use for a task
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- You want to compose an ad-hoc team from different domains (e.g., Security + SEO + Architecture)
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- You want to browse what agents are available before deciding
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## Prerequisites
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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.
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Both flat and subdirectory layouts are supported:
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**Subdirectory layout** — domain is inferred from the folder name:
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```
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agents/
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├── engineering/
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│ ├── security-engineer.md
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│ └── software-architect.md
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├── marketing/
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│ └── seo-specialist.md
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└── sales/
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└── discovery-coach.md
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```
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**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:
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```
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agents/
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├── engineering-security-engineer.md
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├── engineering-software-architect.md
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├── marketing-seo-specialist.md
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├── marketing-content-strategist.md
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├── sales-discovery-coach.md
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└── sales-outbound-strategist.md
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```
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## Configuration
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Agent directories are probed in order and results are merged:
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1. `./agents/**/*.md` + `./agents/*.md` — project-local agents (both depths)
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2. `~/.claude/agents/**/*.md` + `~/.claude/agents/*.md` — global agents (both depths)
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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.
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## How It Works
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### Step 1: Discover Available Agents
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Glob agent directories using the probe order above. Exclude README files. For each file found:
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- **Subdirectory layout:** extract the domain from the parent folder name
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- **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"
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- 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)
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- Extract a one-line summary from the first paragraph after the heading
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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.
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### Step 2: Present Domain Menu
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```
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Available agent domains:
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1. Engineering — Software Architect, Security Engineer
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2. Marketing — SEO Specialist
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3. Sales — Discovery Coach, Outbound Strategist
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Pick domains or name specific agents (e.g., "1,3" or "security + seo"):
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```
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- Skip domains with zero agents (empty directories)
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- Show agent count per domain
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### Step 3: Handle Selection
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Accept flexible input:
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- Numbers: "1,3" selects all agents from Engineering and Sales
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- Names: "security + seo" fuzzy-matches against discovered agents
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- "all from engineering" selects every agent in that domain
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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."
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Confirm selection:
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```
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Selected: Security Engineer + SEO Specialist
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What should they work on? (describe the task):
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```
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### Step 4: Spawn Agents in Parallel
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1. Read each selected agent's markdown file
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2. Prompt for the task description if not already provided
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3. Spawn all agents in parallel using the Agent tool:
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- `subagent_type: "general-purpose"`
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- `prompt: "{agent file content}\n\nTask: {task description}"`
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- Each agent runs independently — no inter-agent communication needed
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4. 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
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### Step 5: Synthesize Results
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Collect all outputs and present a unified report:
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- Results grouped by agent
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- Synthesis section highlighting:
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- Agreements across agents
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- Conflicts or tensions between recommendations
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- Recommended next steps
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If only 1 agent was selected, skip synthesis and present the output directly.
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## Rules
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- **Dynamic discovery only.** Never hardcode agent lists. New files in the directory auto-appear in the menu.
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- **Max 5 agents per team.** More than 5 produces diminishing returns and excessive token usage. Enforce at selection time.
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- **Parallel dispatch.** All agents run simultaneously — use the Agent tool's parallel invocation pattern.
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- **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.
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## Examples
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```
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User: team builder
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Claude:
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Available agent domains:
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1. Engineering (2) — Software Architect, Security Engineer
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2. Marketing (1) — SEO Specialist
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3. Sales (4) — Discovery Coach, Outbound Strategist, Proposal Strategist, Sales Engineer
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4. Support (1) — Executive Summary
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Pick domains or name specific agents:
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User: security + seo
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Claude:
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Selected: Security Engineer + SEO Specialist
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What should they work on?
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User: Review my Next.js e-commerce site before launch
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[Both agents spawn in parallel, each applying their specialty to the codebase]
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Claude:
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## Security Engineer Findings
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- [findings...]
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## SEO Specialist Findings
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- [findings...]
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## Synthesis
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Both agents agree on: [...]
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Tension: Security recommends CSP that blocks inline styles, SEO needs inline schema markup. Resolution: [...]
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Next steps: [...]
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```
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