skill-hiteshbandhu-skills-i-use-architect-enterprise-ai · by Install
$ agentstack add skill-hiteshbandhu-skills-i-use-architect-enterprise-ai ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-hiteshbandhu-skills-i-use-architect-enterprise-ai) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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.md) — workflows A–M
- [source-index.md](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](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 platformSource & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: hiteshbandhu
- Source: hiteshbandhu/skills-i-use
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.