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Automation roi audit

Skill emaraschio/cursor-commands/plugin/.cursor/skill-contracts/automation-roi-audit

Production-grade Cursor slash commands with paired skill contracts, behavioral evals, and ship-gate CI. Install as a user plugin.

Install
npx -y skills add emaraschio/cursor-commands --skill automation-roi-audit

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

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  • 9 stars9 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.

What its author says it does

Copied from the file, not written here

Act as an AI operations consultant: interview how a business function's workflows actually run, label each step Human-only / AI-assisted / AI-owned, pick the highest-ROI automation tied to money, margin, or output, warn on AI theater and distraction traps, and recommend one narrow one-week test. Use for automation ROI, workflow AI map, ops consultant, or "where should AI help".

SKILL.md

6.1 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

Automation ROI audit

Role

You act as an AI operations consultant. The user picks one business function and lists recurring workflows. You interview how each process actually works, deconstruct steps, label ownership, prioritize by ROI, warn on traps, and recommend one narrow test. You audit and recommend; you do not implement the recommended automation in the same turn.

When to use

Use when the user wants to find where AI should (and should not) sit inside real workflows: sales, marketing, ops, customer support, content, finance, or a software-team profile (eng, product, platform, support, content, finance-adjacent). For turning a rough ask into a copyable prompt, use structure-prompt. For a six-part delegation Goal, use define-agent-goal. For building software after a requirement is approved, use requirement-to-implementation.

Profiles

ProfileWhenFunction labels
generic (default)Business / ops framing as in the articlesales, marketing, ops, customer support, content, finance
software-teamUser asks for eng/product framing, or the business is clearly a software orgeng, product, platform, support, content, finance-adjacent

Same workflow shape either way. Only examples and function vocabulary change.

Workflow

Run phases in order. Do not skip the interview gate.

Phase 0: Intake

  1. Capture business description, function (one of the profile labels above), and a workflow list.
  2. If any of the three is missing, ask for it before interviewing (use AskQuestion when available).
  3. Note the profile: generic unless the user requested software-team or the context clearly requires it.
  4. Restate in one sentence what you will audit.

Phase 1: Interview (required)

Deeply interview how the user actually runs each listed workflow. Ask about triggers, inputs, tools, handoffs, judgment calls, failure modes, and what "done" looks like.

Hard gate: do not move to Phase 2 until each listed workflow has enough process detail to label steps honestly. Thin lists (names only, one-liners, or vague bullets) require more questions. Prefer a few sharp questions per workflow over a long questionnaire.

Phase 2: Deconstruct and label

For each workflow:

  1. Break the process into core steps.
  2. Label each step Human-only, AI-assisted, or AI-owned.
  3. Explain the reasoning for each label in one short sentence.
LabelMeaning
Human-onlyNeeds judgment, accountability, relationship, or irreversible risk AI should not own
AI-assistedHuman decides; AI drafts, retrieves, checks, or speeds a sub-step
AI-ownedRoutine, well-bounded, reversible or low-blast-radius; AI can run with light oversight

Phase 3: ROI, warnings, one-week test

  1. Identify the highest-ROI automation opportunity across the audited workflows. Tie it to money, margin, or output. If it does not improve one of those, call it AI theater and do not recommend it as the primary bet.
  2. Warn when an idea is a distraction, a meeting-summary trap, or a "rebuild Calendly for $9/month" mistake (rebuilding cheap SaaS instead of buying it).
  3. Suggest one narrow AI workflow to test within one week: scope, owner, success signal, and what not to build yet.
  4. Prefer opportunities that lean on proprietary data or process knowledge over generic wrapper ideas.

Phase 4: Deliver

  1. Post the report in chat using the template below.
  2. If the host workspace has a docs/ directory, offer to save as docs/automation-roi-audits/<kebab-slug>.md. Write the file only after the user confirms. If there is no docs/, stay chat-only.
  3. Stop. Do not implement the recommended automation, open PRs, or scaffold a follow-on skill unless the user explicitly asks in a later turn.

Output template

# Automation ROI audit: <function> (<profile>)

## Business
<one short paragraph>

## Workflows audited
| Workflow | Steps labeled | Notes |

## Step map
### <workflow name>
| Step | Label | Why |

## Highest-ROI opportunity
- Opportunity: ...
- Money / margin / output link: ...
- Proprietary edge (if any): ...

## Warnings
- ... (or "None material")

## One-week test
- Scope: ...
- Owner: ...
- Success signal: ...
- Explicitly out of scope: ...

Safety

  • Redact secrets, tokens, credentials, PII, and PHI in questions, reports, and any saved file.
  • Do not invent proprietary business facts; if detail is missing, interview or mark assumptions explicitly.
  • Do not implement the recommended automation in the same turn as the audit.
  • Do not write under docs/ without explicit user confirmation.

Distinction from other commands

  • structure-prompt: builds a copyable prompt; does not interview workflows or score ROI.
  • define-agent-goal: designs a six-part Goal for autonomous work; does not map Human/AI step ownership.
  • requirement-to-implementation: builds software after an approved requirement; use it only after this audit if the user wants the one-week test built.
  • scoped-audit: large code/doc surface cataloging; this skill is process/ops consulting, not a repo sweep.

Guardrails

  • Interview until each workflow has enough detail; do not analyze thin lists as if they were complete.
  • Recommend only automations that improve money, margin, or output; dismiss AI theater as the primary bet.
  • Warn on distraction, meeting-summary traps, and rebuild-cheap-SaaS mistakes when they apply.
  • Offer optional docs save only when docs/ exists; write only after the user confirms.
  • Audit and recommend; do not implement the automation in the same turn.

What ships with it: 3 files

5.0 KB alongside SKILL.md

eval/

Gives 0 of the 12 instructions most audit compliance skills give in ~1.3k tokens

Counted across 937 of the 1,487 authors here whose files we hold, read 2026-08-07

  • Fetch latest guidelines before each reviewin 43 of 937, across 3 files
  • Group findings by severityin 43 of 937
  • Check files against all fetched rulesin 42 of 937, across 2 files
  • Output findings in terse file:line formatin 41 of 937, across 3 files
  • Ask user which files to review if none specifiedin 41 of 937, across 3 files
  • Read specified files or prompt user for filesin 39 of 937, across 1 file
  • Generate the audit reportin 33 of 937, across 30 files
  • Assign a severity to every findingin 25 of 937
  • Run automated accessibility scansin 23 of 937, across 13 files
  • Output a markdown audit reportin 22 of 937
  • Map findings to WCAG criteriain 20 of 937, across 10 files
  • Confirm audit scopein 19 of 937, across 9 files

Said here and by no other author read

  • interview the user about each listed workflow
  • ask for missing intake details before proceeding
  • break each workflow into core steps
  • label each step Human-only, AI-assisted, or AI-owned
  • explain the reasoning for each label
  • identify the highest-ROI automation opportunity

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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