Preflight
Pre-publish content through simulated audience personas. Get a verdict before you ship.
Workflow
Given content the user wants to publish, run it through audience personas and return a verdict.
1. Load Personas
Check for preflight-personas.md in the project root. If it exists, use those personas. Otherwise use the defaults in references/personas.md.
For quick checks, use 4 personas: The Scroller, The Skeptic, The Ready Buyer, The Amplifier. For thorough checks, use all 8.
2. Evaluate
For each persona, adopt that persona fully and evaluate the content by answering:
- FIRST REACTION (1-2 sentences): Gut reaction in the first 3 seconds
- WOULD YOU ENGAGE? (yes/no + why): Would you like, comment, click, or reply?
- WOULD YOU SHARE? (yes/no + why): Would you send this to someone or repost it?
- ONE REWRITE (1-2 sentences): One change to make this work better for this persona
Be blunt, specific, and honest. No hedging. Stay in character.
3. Score
Count engagement and share signals across all personas:
- Engage rate: % of personas who would engage
- Share rate: % of personas who would share
4. Verdict
- 🟢 SHIP IT — 50%+ would share. Publish as-is.
- 🟡 REVISE — engaging but not shareable. Read the rewrites, apply the best one, optionally re-run.
- 🟠 RETHINK — mixed signals. The message itself may be wrong, not just the wording.
- 🔴 KILL IT — not landing. Don't publish. Rethink the approach.
5. Output
Present results as:
PREFLIGHT: [verdict]
Engage: X/Y personas | Share: X/Y personas
[For each persona, one line summary of reaction + their rewrite suggestion]
If patterns emerge across personas (e.g., "3 of 4 want to see an image"), call that out as the top actionable insight.
Keep output brief. The user wants a decision, not an essay.
Customization
See references/personas.md for the default persona library and instructions for creating project-specific personas.
Integration
This skill works as a step in any publishing workflow. When used autonomously (heartbeats, cron, content pipelines), run the quick check (4 personas) by default. Use the full 8 when the user explicitly asks for a thorough preflight.