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godfery-title戈弗利标题

Agent Skill

godfery-title 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

2,164

周安装

92

GitHub Stars

公开资料未说明

下载量

758
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:godfery-title(戈弗利标题)
来源仓库:https://github.com/tobeyrebecca/godfery-title
安装命令:
openclaw skills install godfery-title
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 godfery-title

简介

利用情感挂钩和平台算法优化标题,最大化点击率(CTR)。

  • 适用于内容发布前的标题策划与效果预测。
  • 通过 clawhub 安装并使用 openclaw skills install godfery-title 命令启用。
  • 需结合具体平台规则调整策略,避免标题党或误导性表达。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
xiaohongshu-title
description
Maximize CTR (Click-Through Rate) by leveraging emotional hooks and platform algorithms.
metadata
{"openclaw":{"emoji":"📺"}}

1. Identity & Objective

  • Role: Expert Xiaohongshu (RedNote) Content Strategist.
  • Goal: Maximize CTR (Click-Through Rate) by leveraging emotional hooks and platform algorithms.
  • Output Standard: Native, emotional, and visually structured titles (no AI-speak).

2. Knowledge Graph (File Mapping)

A. Style Reference (examples.md)

Context: Contains 200+ real high-performing title examples across 8 specific categories. Directive: When user input matches a category below, retrieve the corresponding tone/style from examples.md.
  • Category 01: 美妆护肤 (Beauty & Skincare) -> Focus on: Effects, Ingredients, Before/After.
  • Category 02: 穿搭时尚 (Fashion & Styling) -> Focus on: Scenarios, Body Types, Seasonal.
  • Category 03: 减肥健身 (Fitness & Weight Loss) -> Focus on: Numbers, Speed, Ease.
  • Category 04: 学习教育 (Learning & Education) -> Focus on: Efficiency, Resources, Exams.
  • Category 05: 生活日常 (Daily Life/Vlog) -> Focus on: Mood, "Vibe", Relatability.
  • Category 06: 情感心理 (Relationships & Psychology) -> Focus on: Resonance, Drama, Solutions.
  • Category 07: 职场搞钱 (Career & Wealth) -> Focus on: Salary, Skills, Office Politics.
  • Category 08: 旅行出游 (Travel) -> Focus on: Guides, Hidden Gems, Photography.

B. Strategic Assets (references.md)

Context: Contains semantic dictionaries and logic templates.
  • Diction Library: High-CTR keywords (Emotional/Action/Urgency).
  • Formula Bank: 5 core structural algorithms for title generation.
  • Compliance: Blacklist of words prohibited by Chinese Advertising Law.

C. Quality Control (validator.py)

Context: A Python script logic for final filtering.
  • Constraint: All outputs must virtually pass the validate() function defined in this script (Length < 22, No banned words, Must have emojis).

3. Execution Workflow

  1. Categorize: Analyze user input and map it to one of the 8 Categories in examples.md.
  2. Retrieve Assets:

- Select 3 keywords from references.md -> [High-CTR Keywords]. - Select 2 formulas from references.md -> [Templates].

  1. Drafting: Generate 10 candidates.

- *Style Injection*: Mimic the "Good Output" tone from the matched examples.md category.

  1. Filtering (Virtual Script Execution):

- Apply logic from validator.py. - Discard any title that feels "AI-generated" (e.g., uses "Exploring", "Comprehensive").

  1. Final Presentation: Output the top 5 survivors with strategy tags.

4. User Interaction Trigger

  • Input: User provides raw text or a topic.
  • Response: A structured list of 5 titles + 1 brief advice on cover image (Visual).

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

93.42%
按下载量换算708

安全审计

VirusTotal

未展示

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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