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    Enterprise Automation Architect — Production Workflow Design & Reliability

    1

    The problem Teams “automate the happy path” and discover duplicates, missed revokes, and silent API failures in production.

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    Enterprise Automation Architect — Production Workflow Design & Reliability

    Enterprise Automation Architect — Production Workflow Design & Reliability

    Example session with this skill installed

    Process: CampusAccess — after-hours building access exceptions

    Manual today

    1. ServiceNow request (building, rooms, window, reason)
    2. Clerk checks Workday employment active
    3. Clerk checks LMS safety training complete
    4. Clerk creates temporary badge grant in access-control system
    5. Slack #campus-security + email requester
    6. BSL-2 / lab after 10pm needs lab director signature (PDF today)
    7. Morning revoke often forgotten → orphan grants

    Volume: ~80/week, ~200/week at semester start
    SLA: 4 business hours for standard buildings
    Constraints: reuse Temporal; no secrets in repo; no orphan grants after window

    Ask: full production automation architecture (design mode). Do not execute.

    • Read your context and instructions
    • Compiled the enterprise automation architect

    Enterprise Automation Architecture

    1. Decision Summary

    FieldValue
    ProcessCampusAccess after-hours access exceptions
    ModeDesign
    Paradigmevent-driven (ServiceNow)
    Scale bandmedium at semester peaks
    Build vs buyOrchestrate on Temporal + modular adapters
    MaturityNEEDS-HARDENING

    2. Human-automation boundary (excerpt)

    StepVerdict
    Workday + LMS checksAUTOMATE
    Standard building grantAUTOMATE (after checks)
    Lab / BSL-2 after 10pmKEEP-MANUAL path with director APPROVE
    Revoke after windowAUTOMATE (compliance)
    Policy waiversKEEP-MANUAL

    3–4. Paradigm & build recommendation

    Event-driven async workflow (not nightly batch). Reuse campus Temporal for
    durability, approval waits, and revoke timers. Thin adapters for ServiceNow,
    Workday, LMS, access control, Slack/email — not a second iPaaS.

    5–6. Contracts & reliability

    • Grant create: effectively-once via idempotency_key = ticket_id
    • Webhook: at-least-once with dedupe
    • Notify: at-most-once (never block grant on Slack failure)
    • Exception tree: inactive/untrained → auto-deny; access auth fail → escalate;
      lab after 22:00 → park for APPROVE; revoke fail → escalate + orphan report

    7–8. Security & HITL

    Threats: stolen creds, over-privileged bot, webhook spoofing, PII in logs.
    Secrets manager only. Least-privilege grant/revoke role.
    HITL: lab-after-10pm director APPROVE; standard path AUTO when policy passes.

    9–10. Observability & rollout

    Metrics: auto-approve rate, time-to-grant, orphan_grants_count, revoke failures.
    SLO: 4h standard decisions; zero orphans older than 24h.
    Rollout: Shadow (simulate) → Canary (one non-lab building) → Full (labs stay APPROVE).

    11–14. ROI, testing, runbook, maturity path

    Labor assumption ~20 clerk hours/week; payback often 1–2 semesters if validated.
    Tests: policy, idempotency, revoke timer, chaos on access API.
    Runbook: detect → triage by ticket_id → recover → communicate.
    To PRODUCTION-READY: confirm OpenAPI maps, orphan scanner, director UX, shadow period.

    15. JSON

    Full Automation Architecture JSON (boundary, adapters, steps, threats, slo, rollout,
    cost_model, testing, runbook, assumptions).

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    • Teams “automate the happy path” and discover duplicates, missed revokes, and silent API failures in production.
    • Not every step should be automated — high-judgment and high-liability steps need human-in-the-loop design up front.
    • Build-vs-buy and orchestrator choice are often made by habit, not by volume, durability, and ops ownership.
    • Leadership asks for ROI and SLA accountability, but the design never defined metrics or a safe rollout.

    What it does

    • Classifies the automation paradigm (batch, scheduled, event-driven, streaming, human-triggered) and scales the design to real volume.
    • Draws a human-automation boundary: AUTOMATE, ASSIST, or KEEP-MANUAL per step with reasoning.
    • Recommends build vs buy vs orchestrate (e.g. Temporal, Airflow, n8n, SaaS) with a clear rationale.
    • Designs modular adapters with data contracts and delivery guarantees (at-most / at-least / effectively-once).
    • Specifies idempotency, retries, rate limits, and an exception decision tree (retry / escalate / skip / compensate / park).
    • Builds a security threat model, secrets plan, and HITL gates (AUTO / CONFIRM / APPROVE).
    • Defines observability + business metrics + SLA/SLOs, a shadow → canary → full rollout, cost/ROI, testing, runbook, and a maturity path to production.

    Frameworks & tools

    • Orchestrators and integration platforms commonly used in enterprises (Temporal, Airflow, n8n, iPaaS) plus custom adapters.
    • Works across ERP, ITSM, HRIS, LMS, messaging, access control, and other SaaS/API systems you name.
    • Compatible with Claude Code, Cursor, Codex CLI, OpenClaw, and other SKILL.md agents — no live execution required for design.

    Why this beats prompting it yourself

    • Forces the hard questions: what not to automate, what needs approval, how duplicates are prevented.
    • Typed delivery guarantees and exception trees instead of “add a retry.”
    • Security and PII logging constraints designed with the workflow, not bolted on later.
    • Rollout stages with exit criteria and rollback — not a big-bang cutover.
    • ROI and SLOs stated with explicit assumptions, not invented precision.
    • Maturity verdict with a concrete path (e.g. NEEDS-HARDENING → PRODUCTION-READY).

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Agents & Orchestration.

    • Design and plan only — not running code or deployed infrastructure
    • Vendor field maps and dollar costs are assumptions unless you supply them
    • Not for pure desktop UI RPA as the primary approach
    • Not a runtime reliability or SOC2 certification
    • Does not execute the automation or write production data

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Permissions

    Read Files

    This skill only analyzes the process and systems you describe and drafts an architecture. It does not run jobs, call APIs, change data, or store secrets. Grant Read only; leave Shell, Write, Browser, Network, and Env off.

    Listed3 months ago

    What's inside

    Frequently Asked Questions

    This skill acts as a senior technical consultant to design resilient, production-grade automation blueprints. It prevents common failures like 'silent' API errors and data duplicates by defining idempotency, human-in-the-loop gates, and delivery guarantees before you write a single line of code.

    The architect is designed for any 'SKILL.md' compatible environment, including Claude Code, Cursor, and Codex CLI. It works by ingesting your specific system requirements and outputting a structured architecture plan rather than requiring direct access to your live tools.

    It works across any API-driven system including ERPs (SAP, Oracle), ITSMs (ServiceNow), HRIS (Workday), and messaging platforms. The design includes specific adapters for orchestrators like Temporal, Airflow, and n8n based on your volume and reliability needs.

    You receive a comprehensive implementation blueprint covering security threat models, exception decision trees, ROI metrics, and a multi-stage rollout plan (Shadow to Canary). It also provides a 'Maturity Verdict' to tell you exactly what needs hardening before you go live.

    Setup is instantaneous; once imported into your agent's library, you simply provide the workflow goal and the systems involved. There is no complex integration required since the skill focuses on architectural design rather than live execution.

    New in Agents & Orchestration