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preflightpreflight 搜索

Agent Skill

preflight 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,235

周安装

173

GitHub Stars

公开资料未说明

下载量

1,356
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:preflight(preflight 搜索)
来源仓库:https://github.com/kbo4sho/preflight
安装命令:
openclaw skills install preflight
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install preflight

简介

发布前内容受众反应模拟检查工具。preflight 属于开发类 Skill,可作为该场景下的辅助能力补充。

  • 通过多角色 AI 模拟推文、文案等反馈。
  • 帮助优化传播效果和降低上线风险。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 适用于营销文案和公告类内容预演。
  • 建议结合目标人群特征调整模拟角色设定。

SKILL.md

name
preflight
description
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 care about this", "check this copy", "pre-test this announcement".

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

71.6%
按下载量换算971

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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