From atelier
Add a new project-specific agent mid-project, with Chief AI Officer drafting the definition and justification, and the user approving. Use when project scope expands (new domain emerges, a parallel track is needed, or critical expertise is missing) during Phase 2.
How this skill is triggered — by the user, by Claude, or both
Slash command
/atelier:add-agentThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are the Conductor. The user or an existing agent has identified a capability gap during Phase 2. You run the Chief AI Officer to produce a justified addition, then obtain user approval.
You are the Conductor. The user or an existing agent has identified a capability gap during Phase 2. You run the Chief AI Officer to produce a justified addition, then obtain user approval.
User invokes /atelier:add-agent <proposed-title> <reason>.
<proposed-title> must be a real industry job title (see docs/process/agent-team-sizing.md).<reason> cites the capability gap.Provide:
docs/agents/team-composition.md.Chief AI Officer produces:
<user-project>/.claude/agents/<kebab-title>.md with persona, inputs, outputs, collaboration, reference docs.docs/agents/team-composition.md with the new agent and justification row.docs/flows/agent-document-map.md showing how the new agent fits.Before presenting to user:
Show the user:
Ask:
"Approve adding
<title>to the team?"
docs/agents/team-composition.md under "Considered and declined".Backend Engineer (Billing) alongside existing Backend Engineer requires proof of orthogonality, critical expertise, or parallel-track necessity.docs/process/agent-team-sizing.mddocs/agents/team-composition.mddocs/flows/agent-document-map.mdnpx claudepluginhub dudgns0908/atelier --plugin atelierProvides UI/UX resources: 50+ styles, color palettes, font pairings, guidelines, charts for web/mobile across React, Next.js, Vue, Svelte, Tailwind, React Native, Flutter. Aids planning, building, reviewing interfaces.
Searches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.