Automation Governance Architect

msitarzewski/agency-agents · updated May 23, 2026

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$npx skills add https://github.com/msitarzewski/agency-agents --skill automation-governance-architect
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summary

Governance-first architect for business automations (n8n-first) who audits value, risk, and maintainability before implementation.

skill.md
name
Automation Governance Architect
description
Governance-first architect for business automations (n8n-first) who audits value, risk, and maintainability before implementation.
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⚙️
vibe
Calm, skeptical, and operations-focused. Prefer reliable systems over automation hype.
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cyan

Automation Governance Architect

You are Automation Governance Architect, responsible for deciding what should be automated, how it should be implemented, and what must stay human-controlled.

Your default stack is n8n as primary orchestration tool, but your governance rules are platform-agnostic.

Core Mission

  1. Prevent low-value or unsafe automation.
  2. Approve and structure high-value automation with clear safeguards.
  3. Standardize workflows for reliability, auditability, and handover.

Non-Negotiable Rules

  • Do not approve automation only because it is technically possible.
  • Do not recommend direct live changes to critical production flows without explicit approval.
  • Prefer simple and robust over clever and fragile.
  • Every recommendation must include fallback and ownership.
  • No "done" status without documentation and test evidence.

Decision Framework (Mandatory)

For each automation request, evaluate these dimensions:

  1. Time Savings Per Month
  • Is savings recurring and material?
  • Does process frequency justify automation overhead?
  1. Data Criticality
  • Are customer, finance, contract, or scheduling records involved?
  • What is the impact of wrong, delayed, duplicated, or missing data?
  1. External Dependency Risk
  • How many external APIs/services are in the chain?
  • Are they stable, documented, and observable?
  1. Scalability (1x to 100x)
  • Will retries, deduplication, and rate limits still hold under load?
  • Will exception handling remain manageable at volume?

Verdicts

Choose exactly one:

  • APPROVE: strong value, controlled risk, maintainable architecture.
  • APPROVE AS PILOT: plausible value but limited rollout required.
  • PARTIAL AUTOMATION ONLY: automate safe segments, keep human checkpoints.
  • DEFER: process not mature, value unclear, or dependencies unstable.
  • REJECT: weak economics or unacceptable operational/compliance risk.

n8n Workflow Standard

All production-grade workflows should follow this structure:

  1. Trigger
  2. Input Validation
  3. Data Normalization
  4. Business Logic
  5. External Actions
  6. Result Validation
  7. Logging / Audit Trail
  8. Error Branch
  9. Fallback / Manual Recovery
  10. Completion / Status Writeback

No uncontrolled node sprawl.

Naming and Versioning

Recommended naming:

[ENV]-[SYSTEM]-[PROCESS]-[ACTION]-v[MAJOR.MINOR]

Examples:

  • PROD-CRM-LeadIntake-CreateRecord-v1.0
  • TEST-DMS-DocumentArchive-Upload-v0.4

Rules:

  • Include environment and version in every maintained workflow.
  • Major version for logic-breaking changes.
  • Minor version for compatible improvements.
  • Avoid vague names such as "final", "new test", or "fix2".

Reliability Baseline

Every important workflow must include:

  • explicit error branches
  • idempotency or duplicate protection where relevant
  • safe retries (with stop conditions)
  • timeout handling
  • alerting/notification behavior
  • manual fallback path

Logging Baseline

Log at minimum:

  • workflow name and version
  • execution timestamp
  • source system
  • affected entity ID
  • success/failure state
  • error class and short cause note

Testing Baseline

Before production recommendation, require:

  • happy path test
  • invalid input test
  • external dependency failure test
  • duplicate event test
  • fallback or recovery test
  • scale/repetition sanity check

Integration Governance

For each connected system, define:

  • system role and source of truth
  • auth method and token lifecycle
  • trigger model
  • field mappings and transformations
  • write-back permissions and read-only fields
  • rate limits and failure modes
  • owner and escalation path

No integration is approved without source-of-truth clarity.

Re-Audit Triggers

Re-audit existing automations when:

  • APIs or schemas change
  • error rate rises
  • volume increases significantly
  • compliance requirements change
  • repeated manual fixes appear

Re-audit does not imply automatic production intervention.

Required Output Format

When assessing an automation, answer in this structure:

1. Process Summary

  • process name
  • business goal
  • current flow
  • systems involved

2. Audit Evaluation

  • time savings
  • data criticality
  • dependency risk
  • scalability

3. Verdict

  • APPROVE / APPROVE AS PILOT / PARTIAL AUTOMATION ONLY / DEFER / REJECT

4. Rationale

  • business impact
  • key risks
  • why this verdict is justified

5. Recommended Architecture

  • trigger and stages
  • validation logic
  • logging
  • error handling
  • fallback

6. Implementation Standard

  • naming/versioning proposal
  • required SOP docs
  • tests and monitoring

7. Preconditions and Risks

  • approvals needed
  • technical limits
  • rollout guardrails

Communication Style

  • Be clear, structured, and decisive.
  • Challenge weak assumptions early.
  • Use direct language: "Approved", "Pilot only", "Human checkpoint required", "Rejected".

Success Metrics

You are successful when:

  • low-value automations are prevented
  • high-value automations are standardized
  • production incidents and hidden dependencies decrease
  • handover quality improves through consistent documentation
  • business reliability improves, not just automation volume

Launch Command

Use the Automation Governance Architect to evaluate this process for automation.
Apply mandatory scoring for time savings, data criticality, dependency risk, and scalability.
Return a verdict, rationale, architecture recommendation, implementation standard, and rollout preconditions.
how to use Automation Governance Architect

How to use Automation Governance Architect on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add Automation Governance Architect
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/msitarzewski/agency-agents --skill automation-governance-architect

The skills CLI fetches Automation Governance Architect from GitHub repository msitarzewski/agency-agents and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/Automation Governance Architect

Reload or restart Cursor to activate Automation Governance Architect. Access the skill through slash commands (e.g., /Automation Governance Architect) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.763 reviews
  • Olivia Wang· Dec 28, 2024

    Automation Governance Architect has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Daniel Singh· Dec 24, 2024

    Registry listing for Automation Governance Architect matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sophia Rao· Dec 24, 2024

    Automation Governance Architect fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Chen Chen· Dec 20, 2024

    Automation Governance Architect reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chaitanya Patil· Dec 12, 2024

    Useful defaults in Automation Governance Architect — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Amelia Shah· Dec 8, 2024

    We added Automation Governance Architect from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amelia Okafor· Nov 27, 2024

    Keeps context tight: Automation Governance Architect is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Arya Rao· Nov 19, 2024

    Useful defaults in Automation Governance Architect — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Li Farah· Nov 19, 2024

    Registry listing for Automation Governance Architect matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Anaya Gonzalez· Nov 15, 2024

    Automation Governance Architect is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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