ai-content-workflow
Installation
SKILL.md
AI Content Workflow
An AI content workflow is the end-to-end process for producing content where AI handles the heavy lifting (research, drafting, formatting) and humans handle what AI can't (strategy, accuracy, originality, voice). The goal is 3-5x production speed without sacrificing quality.
The trap most teams fall into: they use AI to draft and then publish with minimal editing. This produces high volume of low-quality content that ranks nowhere and builds no authority. The workflow must enforce quality gates at each stage.
The AI Content Production Pipeline
| Stage | AI role | Human role | Time (AI-assisted) | Time (manual) |
|---|---|---|---|---|
| 1. Strategy | Suggest topics from competitive gaps | Final topic selection and prioritization | N/A | N/A |
| 2. Brief | Generate draft brief from template | Refine angle, add proprietary insights, specify POV | 15 min | 30 min |
| 3. Research | Summarize competitor pages, pull data | Verify facts, add original data | 20 min | 2 hours |
| 4. First draft | Generate 70-80% of the draft | Review for direction and completeness | 30 min | 4-6 hours |
| 5. Accuracy edit | Flag claims that need verification | Verify every fact, stat, and product detail | 15 min | 30 min |
| 6. Quality edit | Suggest improvements | Add voice, originality, POV, proprietary data | 30-45 min | 1-2 hours |
| 7. AEO formatting | Apply schema, suggest FAQ questions | Validate structure, test in AI engines | 15 min | 30 min |
| 8. Publish | Format and schedule | Final review and approval | 10 min | 20 min |