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blog-drafter博客起草者

Agent Skill

blog-drafter 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

388

周安装

16

GitHub Stars

35

下载量

127
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

2

许可证

unknown

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:blog-drafter(博客起草者)
来源仓库:https://github.com/petekp/claude-code-setup
仓库路径:skills/blog-drafter
安装命令:
npx skills add https://github.com/petekp/claude-code-setup --skill blog-drafter
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/petekp/claude-code-setup --skill blog-drafter

简介

用于查找、检索和筛选相关信息。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

  • 适合根据关键词或任务场景快速定位候选结果。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围和维护状态。
  • blog-drafter 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Blog Drafter

Interview the user to extract their unique perspective, then produce a structured draft with thesis, outline, and research suggestions.

Process Overview

Phase 1: Discovery Interview → Structured Draft + Research
Phase 2: Prose Refinement Interview (after user approves draft)

Phase 1: Discovery Interview

Opening

Ask what topic they want to write about. If they've already stated it, acknowledge and move directly to the interview.

Interview Strategy

Use AskUserQuestion for structured choices. Use regular follow-up questions for open-ended exploration. Aim for 4-6 question rounds total.

Round 1: Core Thesis

AskUserQuestion:
  question: "What's the single most important thing you want readers to take away?"
  options:
    - "A specific insight or realization"
    - "A call to change behavior or practice"
    - "A framework or mental model"
    - "A contrarian or non-obvious take"

Then probe: "Can you state that in one sentence?"

Round 2: The "So What"

Ask directly: "Why should a PM, designer, or engineer care about this right now? What pain or opportunity does this address?"

Round 3: Evidence & Experience

AskUserQuestion:
  question: "What's your strongest evidence for this thesis?"
  options:
    - "Personal experience or case study"
    - "Data or research I've seen"
    - "Pattern I've observed across projects/companies"
    - "Logical argument from first principles"

Follow up: "Walk me through the specific example or evidence."

Round 4: Anticipated Resistance

Ask: "What's the strongest objection someone might raise? What would a skeptic say?"

Round 5: Unique Angle

AskUserQuestion:
  question: "What makes your perspective different from what's already written on this topic?"
  options:
    - "I have direct experience others don't"
    - "I'm connecting ideas that aren't usually connected"
    - "I disagree with conventional wisdom"
    - "I have a specific framework or process"

Round 6: Scope & Format

AskUserQuestion:
  question: "What length and depth feels right?"
  options:
    - "Short and punchy (800-1200 words)"
    - "Standard blog post (1500-2500 words)"
    - "Deep dive (3000+ words)"

Interview Principles

  • Listen for contradictions—they often reveal the real insight
  • When answers are abstract, ask for concrete examples
  • If the thesis sounds generic, push: "What would make someone disagree with this?"
  • Capture specific phrases and terminology the user employs

Phase 1 Output: Structured Draft

After the interview, produce:

1. Thesis Statement

One clear sentence stating the core argument.

2. Draft Structure

## [Working Title]

**Hook**: [Opening that creates tension or curiosity]

**Thesis**: [Core argument, stated directly]

### Section 1: [Setup/Context]
- Key point
- Key point

### Section 2: [Core Argument/Evidence]
- Key point with specific example from interview
- Key point

### Section 3: [Addressing Objections]
- Anticipated resistance
- Response

### Section 4: [Implications/Call to Action]
- What readers should do differently
- Why it matters

**Closing**: [Callback to hook or forward-looking statement]

3. Research Suggestions

Provide 3-5 specific suggestions:

  • Relevant studies, books, or articles to cite
  • Data points that would strengthen arguments
  • Examples from well-known companies/products that illustrate points
  • Experts or practitioners whose work relates to the thesis

Format as actionable items:

## Suggested Research

- [ ] Look for data on [specific metric/phenomenon] to support Section 2
- [ ] Reference [Author]'s work on [topic] for theoretical grounding
- [ ] Find a counter-example from [domain] to strengthen the objection response
- [ ] Check if [Company] has published anything on their approach to [topic]

4. Open Questions

Note 2-3 areas where more depth or clarity would strengthen the piece.


After presenting the draft, ask: "Does this structure capture what you want to say? Any sections that feel wrong or missing?"

Phase 2: Prose Refinement

Trigger Phase 2 only after user approves the structure.

Refinement Interview

Round 1: Tone

AskUserQuestion:
  question: "What tone fits this piece?"
  options:
    - "Conversational and accessible"
    - "Authoritative and direct"
    - "Provocative and opinionated"
    - "Thoughtful and nuanced"

Round 2: Opening Style

AskUserQuestion:
  question: "How do you like to open posts?"
  options:
    - "Start with a story or anecdote"
    - "Lead with the controversial claim"
    - "Open with a question"
    - "Set up a problem or tension"

Round 3: Technical Depth

Ask: "How much should I explain? Are readers already familiar with [key concepts from interview], or do they need context?"

Round 4: Specific Preferences

Ask: "Any writing patterns you like or hate? (e.g., 'I never use bullet points' or 'I always include code examples')"

Refinement Output

Expand the structure into full prose, incorporating:

  • The chosen tone throughout
  • The selected opening style
  • Appropriate technical depth
  • User's stated preferences

Mark areas where user's voice is needed:

[VOICE: Add your personal take on why this matters to you]
[EXAMPLE: Insert specific story from your experience here]

Remind user: "This is a starting point for your voice. The final pass is yours."

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

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

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

32.94%
按下载量换算42

Codex

32.16%
按下载量换算41

Cursor

17.18%
按下载量换算22

Gemini CLI

10.22%
按下载量换算13

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。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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