writing-assistant

📁 vegetapn/writing-assistant-skill 📅 Jan 29, 2026
11
总安装量
2
周安装量
#28501
全站排名
安装命令
npx skills add https://github.com/vegetapn/writing-assistant-skill --skill writing-assistant

Agent 安装分布

claude-code 2
mcpjam 1
openhands 1
zencoder 1
crush 1

Skill 文档

Writing Assistant

A complete end-to-end writing workflow that transforms ideas, materials, or rough drafts into polished, illustrated articles ready for publication.

Overview

This skill orchestrates a multi-step writing process:

  1. Collect initial content (topic, materials, or draft)
  2. Clarify and enrich through interactive questioning
  3. Generate or refine the initial draft
  4. Polish the content using content-research-writer
  5. Add appropriate illustrations using baoyu-xhs-images
  6. Combine content and images into final article
  7. Optionally publish to WeChat or X platforms

Workflow

Step 1: Choose Starting Mode

Ask the user to select one of three modes:

Mode 1: Topic-Based

  • User provides a topic or theme they want to write about
  • Most suitable when starting from scratch with just an idea

Mode 2: Materials-Based

  • User provides loosely organized materials, notes, or reference content
  • Can include rough notes, copied references, or miscellaneous content
  • Ask for file paths if materials are in files

Mode 3: Draft-Based

  • User provides an unpolished initial draft
  • Suitable when the user has already written a rough version
  • Ask for file path if draft is in a file

Step 2: Collect and Clarify (Modes 1 & 2 Only)

For Modes 1 and 2, use an interactive questioning approach:

  1. Analyze the provided content first:

    • Read and understand what the user has already provided
    • Identify what’s clear vs. what needs clarification
    • Note gaps, ambiguities, or areas that need expansion
  2. Ask tailored, content-specific questions:

    • Formulate questions based on the specific topic and materials provided
    • Focus on filling identified gaps and resolving ambiguities
    • Ask about aspects that are unclear or need deeper exploration
    • Adapt questions to the user’s context and writing goals
  3. Collect user responses systematically

  4. Supplement with research if context is insufficient:

    • Use WebSearch for relevant information
    • Use WebFetch if user provides URLs
    • Gather supporting materials from the internet
  5. Organize into initial draft based on:

    • User’s answers to questions
    • Researched supplementary materials
    • Logical article structure
  6. Proceed to Step 4 after creating the initial draft

Question Strategy:

  • Ask 2-4 questions at a time (avoid overwhelming the user)
  • Tailor each question to the specific content provided – no fixed templates
  • Common areas to explore (adjust based on actual needs):
    • What’s the main message or takeaway?
    • Who is the target audience?
    • What’s the desired tone (professional, casual, technical, etc.)?
    • Are there specific points that need more detail?
    • What context or background should readers have?
    • Are there particular examples or stories to include?
  • Let the content guide the questions – if something is already clear, don’t ask about it

Step 3: Process Draft (Mode 3 Only)

For Mode 3, skip directly to Step 4 with the user’s provided draft.

Step 4: Polish the Draft

Use the @content-research-writer skill to refine and polish the draft:

Invoke: content-research-writer skill
Input: The initial or user-provided draft
Output: {filename}-polished.md

The polished version will have:

  • Improved structure and flow
  • Better hooks and engagement
  • Citations and research integration
  • Professional writing quality

Step 5: Generate Illustrations

Use the @baoyu-xhs-images skill to create appropriate images:

Invoke: baoyu-xhs-images skill
Input: {filename}-polished.md content
Output: Generated images

Image Guidelines:

  • Images should be appropriately spaced (not too dense, usually 3~5 images)
  • Select key points that benefit from visual illustration
  • Maintain balance between text and visuals

Step 6: Create Final Article

Combine the polished content with generated images:

  1. Take the {filename}-polished.md content
  2. Insert images at appropriate positions
  3. Ensure proper formatting and layout
  4. Create final output: {filename}-final.md

Layout Considerations:

  • Place images near relevant text sections
  • Maintain readable flow
  • Use consistent formatting
  • Ensure images enhance rather than disrupt reading

Step 7: Next Steps

After creating the final article, summarize the work completed and ask the user about publication:

Do not write a summary document. Instead, provide a brief verbal summary and ask:

  • “Would you like to publish this article?”
  • “Which platform would you prefer: WeChat Official Account (微信公众号) or X (Twitter)?”
  • “Or would you like to make any revisions first?”

Step 8: Publish (Optional)

If the user wants to publish, invoke the appropriate skill:

For WeChat Official Account:

Invoke: baoyu-post-to-wechat skill
Input: {filename}-final.md and images

For X (Twitter):

Invoke: baoyu-post-to-x or x-article-publisher skill
Input: {filename}-final.md and images

Follow the publishing skill’s workflow for platform-specific requirements.

Best Practices

  1. Be Patient with Questions: Take time in Step 2 to thoroughly understand the user’s vision
  2. Research Thoughtfully: Supplement user input with credible sources when gaps exist
  3. Preserve User Voice: While polishing, maintain the user’s intended tone and style
  4. Image Selection: Be selective with images – quality and relevance over quantity
  5. Review Before Publishing: Confirm the user is satisfied with the final article before publishing

File Naming Convention

Use consistent naming throughout the workflow:

  • Initial draft: {topic-or-title}.md
  • Polished version: {topic-or-title}-polished.md
  • Final version: {topic-or-title}-final.md