Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问clear审计通过

writing-skills写作技巧

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

11,243

周安装

478

GitHub Stars

35,733

下载量

3,939
CodexClaudeCursorGemini CLI

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

3

许可证

MIT

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:writing-skills(写作技巧)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/writing-skills
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill writing-skills
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill writing-skills

简介

用于构建代理实际遵循的Agent Skill的决策树和模板。

  • 根据技能复杂性提供三个架构层:第 1 层用于简单的单文件技能,第 2 层用于多概念技能,第 3 层用于大型平台
  • 包括用于提高现有技能的专业指南:模块化、反合理化(防止代理人忽略规则)和 CSO(LLM 发现的搜索优化)
  • 提供四种技能模板,涵盖技术、参考、学科和基于模式的技能,并具有标准化的 YAML frontmatter 和命名约定
  • 预部署清单在发布前确保元数据合规性、触发关键字和文件结构

SKILL.md

Writing Skills (Excellence)

Dispatcher for skill creation excellence. Use the decision tree below to find the right template and standards.

⚡ Quick Decision Tree

What do you need to do?

  1. Create a NEW skill:

- Is it simple (single file, <200 lines)? → Tier 1 Architecture - Is it complex (multi-concept, 200-1000 lines)? → Tier 2 Architecture - Is it a massive platform (10+ products, AWS, Convex)? → Tier 3 Architecture

  1. Improve an EXISTING skill:

- Fix "it's too long" -> Modularize (Tier 3) - Fix "AI ignores rules" -> Anti-Rationalization - Fix "users can't find it" -> CSO (Search Optimization)

  1. Verify Compliance:

- Check metadata/naming -> Standards - Add tests -> Testing Guide

📚 Component Index

ComponentPurpose
CSO"SEO for LLMs". How to write descriptions that trigger.
StandardsFile naming, YAML frontmatter, directory structure.
Anti-RationalizationHow to write rules that agents won't ignore.
TestingHow to ensure your skill actually works.

🛠️ Templates

When to Use

  • Creating a NEW skill from scratch
  • Improving an EXISTING skill that agents ignore
  • Debugging why a skill isn't being triggered
  • Standardizing skills across a team

How It Works

  1. Identify goal → Use decision tree above
  2. Select template → From references/templates/
  3. Apply CSO → Optimize description for discovery
  4. Add anti-rationalization → For discipline skills
  5. Test → RED-GREEN-REFACTOR cycle

Quick Example

---
name: my-technique
description: Use when [specific symptom occurs].
metadata:
  category: technique
  triggers: error-text, symptom, tool-name
---

# My Technique

## When to Use
- [Symptom A]
- [Error message]

Common Mistakes

MistakeFix
Description summarizes workflowUse "Use when..." triggers only
No metadata.triggersAdd 3+ keywords
Generic name ("helper")Use gerund (creating-skills)
Long monolithic SKILL.mdSplit into references/

See gotchas.md for more.

✅ Pre-Deploy Checklist

Before deploying any skill:

  • name field matches directory name exactly
  • SKILL.md filename is ALL CAPS
  • Description starts with "Use when..."
  • metadata.triggers has 3+ keywords
  • Total lines < 500 (use references/ for more)
  • No @ force-loading in cross-references
  • Tested with real scenarios

🔗 Related Skills

  • opencode-expert: For OpenCode environment configuration
  • Use /write-skill command for guided skill creation

Examples

Create a Tier 1 skill:

mkdir -p ~/.config/opencode/skills/my-technique
touch ~/.config/opencode/skills/my-technique/SKILL.md

Create a Tier 2 skill:

mkdir -p ~/.config/opencode/skills/my-skill/references/core
touch ~/.config/opencode/skills/my-skill/{SKILL.md,gotchas.md}
touch ~/.config/opencode/skills/my-skill/references/core/README.md

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

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

Claude Code

28.02%
按下载量换算1,104

Gemini CLI

20.33%
按下载量换算801

OpenCode

17.3%
按下载量换算681

Antigravity

12.69%
按下载量换算500

Cursor

6.9%
按下载量换算272

Codex

3.2%
按下载量换算126

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。

来源信息

继续浏览同类 Skills