OpenClaw

draft

Professional first-draft generator. Trigger whenever the user needs to write anything from scratch: emails, reports, articles, proposals, memos, cover letters, blog posts, scripts, READMEs, pitch decks, social posts, or any other document. Also triggers on phrases like "help me write", "I need to send", "write something for", "I don't know how to start", or when the user pastes rough notes and needs them turned into a real document.

ethagent0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install ethagent/draft

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Draft — First Draft Generator

What This Skill Does

Eliminates the blank page. Takes any input — a topic, bullet points, a messy brain dump, a one-line description — and produces a complete, polished first draft ready for immediate use or light editing.

Core Principle

A good first draft is not a perfect document. It is a complete document. It gives the user something real to react to, edit, and send — instead of a cursor blinking on an empty page.

Workflow

Step 1: Classify the Request

DOCUMENT_TYPES = {
  "email":        { structure: ["subject","greeting","context","ask","next_step","sign_off"], length: "50-300 words" },
  "report":       { structure: ["exec_summary","background","findings","analysis","recommendations"], length: "500-2000 words" },
  "article":      { structure: ["hook","context","body","conclusion","cta"], length: "600-1500 words" },
  "proposal":     { structure: ["problem","solution","methodology","timeline","investment","next_steps"], length: "400-1200 words" },
  "memo":         { structure: ["to/from/date/re","purpose","background","action"], length: "150-400 words" },
  "cover_letter": { structure: ["hook","why_them","why_me","evidence","ask"], length: "250-400 words" },
  "readme":       { structure: ["title","description","install","usage","examples","contributing"], length: "300-800 words" },
  "social_post":  { structure: ["hook","value","cta"], length: "50-500 words depending on platform" }
}

If document type is ambiguous, infer from context. Only ask if it materially changes the output.

Step 2: Extract the Brief

brief = {
  document_type:  classify(user_input),
  purpose:        what_should_this_accomplish(),
  audience:       who_will_read_this(),
  key_points:     what_must_be_included(),
  tone:           formal | professional | conversational | urgent | warm | bold,
  length:         short | medium | long,
  constraints:    deadlines, word_limits, sensitive_topics
}

Inference rules:

Casua...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/ethagent/draft
Version: —
Commit: d7a818dd3dca0ab857374602e3b0188f92bc5745
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Draft — First Draft Generator

## What This Skill Does

Eliminates the blank page. Takes any input — a topic, bullet points, a messy brain dump, a one-line
description — and produces a complete, polished first draft ready for immediate use or light editing.

## Core Principle

A good first draft is not a perfect document. It is a complete document. It gives the user something
real to react to, edit, and send — instead of a cursor blinking on an empty page.

## Workflow

### Step 1: Classify the Request
```
DOCUMENT_TYPES = {
  "email":        { structure: ["subject","greeting","context","ask","next_step","sign_off"], length: "50-300 words" },
  "report":       { structure: ["exec_summary","background","findings","analysis","recommendations"], length: "500-2000 words" },
  "article":      { structure: ["hook","context","body","conclusion","cta"], length: "600-1500 words" },
  "proposal":     { structure: ["problem","solution","methodology","timeline","investment","next_steps"], length: "400-1200 words" },
  "memo":         { structure: ["to/from/date/re","purpose","background","action"], length: "150-400 words" },
  "cover_letter": { structure: ["hook","why_them","why_me","evidence","ask"], length: "250-400 words" },
  "readme":       { structure: ["title","description","install","usage","examples","contributing"], length: "300-800 words" },
  "social_post":  { structure: ["hook","value","cta"], length: "50-500 words depending on platform" }
}
```

If document type is ambiguous, infer from context. Only ask if it materially changes the output.

### Step 2: Extract the Brief
```
brief = {
  document_type:  classify(user_input),
  purpose:        what_should_this_accomplish(),
  audience:       who_will_read_this(),
  key_points:     what_must_be_included(),
  tone:           formal | professional | conversational | urgent | warm | bold,
  length:         short | medium | long,
  constraints:    deadlines, word_limits, sensitive_topics
}
```

Inference rules:
- Casua...

搜索