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preflight

Pre-publish audience reaction check. Run any content (tweet, launch copy, pricing page, announcement, blog post) through diverse AI personas before publishing. Returns engagement prediction, share potential, and specific rewrites. Use when about to post on social media, launch a product, announce pricing changes, publish a blog post, or any time you want to predict audience reaction before going live. Triggers on "preflight this", "how will this land", "test this before posting", "will anyone ca

作者: admin | 来源: ClawHub
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preflight

# 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: 1. **FIRST REACTION** (1-2 sentences): Gut reaction in the first 3 seconds 2. **WOULD YOU ENGAGE?** (yes/no + why): Would you like, comment, click, or reply? 3. **WOULD YOU SHARE?** (yes/no + why): Would you send this to someone or repost it? 4. **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.

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 preflight-1776105019 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 preflight-1776105019 技能

通过命令行安装

skillhub install preflight-1776105019

下载 Zip 包

⬇ 下载 preflight v1.0.0

文件大小: 7.81 KB | 发布时间: 2026-4-14 14:38

v1.0.0 最新 2026-4-14 14:38
Initial release — pre-publish audience reaction check with 8 default personas

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