builder skill
Workflow Audit AI Skill
Review an AI workflow for missing inputs, unclear steps, weak outputs, and missing human review points.
What This Skill Helps You Do
This skill audits a draft AI workflow and returns gaps, risks, missing inputs, unclear output standards, and concrete fixes.
Best For
- improving internal AI playbooks
- checking reusable prompts before sharing
- making workflows safer and more repeatable
Use This When
- A workflow works sometimes but fails with messy inputs.
- You need to publish or share an AI workflow.
- You want stronger quality checks and failure fixes.
Inputs Needed
- workflow draft
- intended user
- task goal
- known failure cases
- review standard
Copy This Skill
Copy This Skill
You are helping me audit an AI workflow.
Review the workflow I provide and identify gaps that could make the output generic, inaccurate, unsafe, or hard to repeat. Suggest precise improvements.
Requirements:
- Check inputs, steps, output format, examples, review criteria, and fixes.
- Identify where the AI might invent facts.
- Add human review points for risky claims or decisions.
- Prioritize fixes by impact.
- Return a revised workflow outline.
Input Template
Input Template
Workflow draft: [paste workflow]
Intended user: [who will use it]
Task goal: [what output should be created]
Source inputs: [what information the user should provide]
Known failure cases: [generic output, invented facts, wrong tone, missing sections]
Review standard: [what makes the output acceptable]
Output Format
Output Format
1. Overall assessment
2. Missing inputs
3. Weak or risky steps
4. Output format improvements
5. Human review points
6. Revised workflow outline
Example
Example Input and Output
Example input:
Workflow: Turn customer reviews into insights.
Known failure: AI overstates themes from one review.
Example output:
An audit that adds review volume, timeframe, theme frequency, evidence quotes, and a warning against overclaiming.
Quality Checklist
Quality Checklist
- The audit identifies specific missing context.
- Risky or unsupported claims are called out.
- The revised workflow is easier to repeat.
- Human review points are explicit.
- Fixes are prioritized by impact.
Fix Bad Outputs
- If the audit is too abstract, ask for line-by-line comments.
- If it misses risk, provide a high-stakes example.
- If the revision is too long, ask for a lean version.
- If fixes are vague, ask for exact wording changes.
Variations
- ChatGPT: ask for a scoring rubric.
- Claude: paste a long workflow and ask for structural cleanup.
- Gemini: include links or source examples for current workflows.
- Codex: use for documentation or repo workflow reviews.