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Architect enterprise ai

Skill hiteshbandhu/skills-i-use/skills/ai-engineer-talks/architect-enterprise-ai

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".From its SKILL.md

Install

npx -y skills add hiteshbandhu/skills-i-use --skill architect-enterprise-ai

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
runs commandsInstructs the agent to run 2 commands, including `cp -r skills/architect-enterprise-ai ~/.claude/skills/` and 1 more.

SKILL.md

2.8 KB, 623 tokens by cl100k_base, as published. Nobody here has run it

Architect enterprise AI

Action playbook from nineteen AI Architect track talks. Do not summarize talks — pick a workflow and execute it.

Supporting files:

workflows.md — workflows A–M
source-index.md — src-NNN → learnings

Optional deliverables: {SKILL_OUTPUT_DIR}/architect-enterprise-ai/

Step 0 — Pick workflow

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.

Install

cp -r skills/architect-enterprise-ai ~/.claude/skills/
cp -r skills/architect-enterprise-ai ~/.cursor/skills/

Source: playlists/ai-architects-ai-engineer/.

Cross-cutting rules

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]

Output to user

Name workflow (A–M) and deliverable
Artifacts under ./skill-outputs/architect-enterprise-ai/ when requested

Invocation examples

@architect-enterprise-ai define our AI architect scope
agent auth model for enterprise SaaS
prove ROI for our AI inference platform

What ships with it: 3 files

8.5 KB alongside SKILL.md

Gives 0 of the 12 instructions most architecture codebase skills give in 623 tokens

Counted across 858 of the 1,304 authors here whose files we hold, read 2026-09-06

Apply the deletion test to identify shallow modulesin 32 of 858, across 31 files
Read domain glossary and ADRs before exploringin 22 of 858, across 19 files
Use Tailwind and Mermaid via CDN for reportsin 21 of 858, across 18 files
Document architecture decision recordsin 20 of 858, across 12 files
Offer to record ADRs for rejected candidatesin 17 of 858, across 14 files
Limit primary navigation to four to seven itemsin 17 of 858, across 7 files
Write HTML report to the system temp directoryin 17 of 858, across 14 files
Read product marketing context before asking questionsin 16 of 858, across 6 files
Use Mermaid graph TD for visual sitemapsin 15 of 858, across 5 files
Ensure every page has at least one internal linkin 15 of 858, across 5 files
Use ASCII tree format for page hierarchy draftsin 15 of 858, across 5 files
Enforce lowercase URLs with hyphensin 15 of 858, across 5 files

Said here and by no other author read

Pick a workflow from the provided list
Execute the selected workflow
Design agents for production environments
Prioritize feedback loops over one-shot prompts
Treat agent authentication as a first-class concern
Bridge build and operate phases for AI products

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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