Stats
Actions
Tags
From ai-engineer-talks
Runs enterprise AI architecture playbooks from AI Architects @ AI Engineer — AI architect role, agent platforms, voice agents, agent auth (CIAM), trusted inference, team structure, monetization, and product survival. Use when designing org-wide AI systems, agent platforms, or CIO-ready inference; or when the user says "AI architect", "enterprise agents", "CIAM for agents", "AI that pays", "build-operate divide".
How this skill is triggered — by the user, by Claude, or both
Slash command
/ai-engineer-talks:architect-enterprise-aiThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Action playbook from nineteen AI Architect track talks. **Do not summarize talks** — pick a workflow and execute it.
Action playbook from nineteen AI Architect track talks. Do not summarize talks — pick a workflow and execute it.
Supporting files:
Optional deliverables: {SKILL_OUTPUT_DIR}/architect-enterprise-ai/
What is the user trying to do?
├─ Define AI architect role & stack choices → A [src-015, src-009]
├─ Ship agents that work in production → B [src-003, src-010]
├─ Build agentic platform (Box-style) → C [src-004, src-005]
├─ Voice agents → D [src-006]
├─ Agent identity / authZ (CIAM) → E [src-007]
├─ CIO-trusted inference & telemetry → F [src-008]
├─ Browser-as-runtime for agents → G [src-019]
├─ Developer experience (AX) → H [src-002]
├─ Revenue / ROI proof (healthcare RCM) → I [src-001]
├─ Feedback loops & learning products → J [src-011, src-013]
├─ Monetization & GTM for AI → K [src-014, src-012]
├─ Modern AI team structure → L [src-016]
├─ Product strategy / knife fight → M [src-017, src-018]
Open workflows.md.
cp -r skills/architect-enterprise-ai ~/.claude/skills/
cp -r skills/architect-enterprise-ai ~/.cursor/skills/
Source: playlists/ai-architects-ai-engineer/.
| Rule | Source |
|---|---|
| AI architect owns integration, tools, embeddings, vector DB | [src-015 @ 9:41] |
| Agents need production design patterns, not demos | [src-010] |
| Feedback loops beat one-shot prompts for quality | [src-011] |
| AuthN/AuthZ for agents is a first-class concern | [src-007] |
| Bridge build vs operate for AI product vision | [src-018] |
./skill-outputs/architect-enterprise-ai/ when requested@architect-enterprise-ai define our AI architect scope
agent auth model for enterprise SaaS
prove ROI for our AI inference platform
npx claudepluginhub hiteshbandhu/skills-i-use --plugin ai-engineer-talksCreates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.