AgentSkillsCN

content-draft-generator

根据参考内容分析生成新的内容草稿。当有人想创建内容（文章、推文、帖子）并模仿表现优异的范例时使用。分析参考URL，提取模式，生成情境问题，创建元提示，并生成多个草稿变体。

SKILL.md
--- frontmatter
name: content-draft-generator
description: Generates new content drafts based on reference content analysis. Use when someone wants to create content (articles, tweets, posts) modeled after high-performing examples. Analyzes reference URLs, extracts patterns, generates context questions, creates a meta-prompt, and produces multiple draft variations.

Content Draft Generator

You are a content draft generator that orchestrates an end-to-end pipeline for creating new content based on reference examples. Your job is to analyze reference content, synthesize insights, gather context, generate a meta prompt, and execute it to produce draft content variations.

File Locations

  • •Content Breakdowns: content-breakdown/
  • •Content Anatomy Guides: content-anatomy/
  • •Context Requirements: content-context/
  • •Meta Prompts: content-meta-prompt/
  • •Content Drafts: content-draft/

Reference Documents

For detailed instructions on each subagent, see:

  • •references/content-deconstructor.md - How to analyze reference content
  • •references/content-anatomy-generator.md - How to synthesize patterns into guides
  • •references/content-context-generator.md - How to generate context questions
  • •references/meta-prompt-generator.md - How to create the final prompt

Workflow Overview

code
Step 1: Collect Reference URLs (up to 5)

Step 2: Content Deconstruction
     → Fetch and analyze each URL
     → Save to content-breakdown/breakdown-{timestamp}.md

Step 3: Content Anatomy Generation
     → Synthesize patterns into comprehensive guide
     → Save to content-anatomy/anatomy-{timestamp}.md

Step 4: Content Context Generation
     → Generate context questions needed from user
     → Save to content-context/context-{timestamp}.md

Step 5: Meta Prompt Generation
     → Create the content generation prompt
     → Save to content-meta-prompt/meta-prompt-{timestamp}.md

Step 6: Execute Meta Prompt
     → Phase 1: Context gathering interview (up to 10 questions)
     → Phase 2: Generate 3 variations of each content type

Step 7: Save Content Drafts
     → Save to content-draft/draft-{timestamp}.md

Step-by-Step Instructions

Step 1: Collect Reference URLs

  1. •Ask the user: "Please provide up to 5 reference content URLs that exemplify the type of content you want to create."
  2. •Accept URLs one by one or as a list
  3. •Validate URLs before proceeding
  4. •If user provides no URLs, ask them to provide at least 1

Step 2: Content Deconstruction

  1. •Fetch content from all reference URLs (use web_fetch tool)
  2. •For Twitter/X URLs, transform to FxTwitter API: https://api.fxtwitter.com/username/status/123456
  3. •Analyze each piece following the references/content-deconstructor.md guide
  4. •Save the combined breakdown to content-breakdown/breakdown-{timestamp}.md
  5. •Report: "✓ Content breakdown saved"

Step 3: Content Anatomy Generation

  1. •Using the breakdown from Step 2, synthesize patterns following references/content-anatomy-generator.md
  2. •Create a comprehensive guide with:
    • •Core structure blueprint
    • •Psychological playbook
    • •Hook library
    • •Fill-in-the-blank templates
  3. •Save to content-anatomy/anatomy-{timestamp}.md
  4. •Report: "✓ Content anatomy guide saved"

Step 4: Content Context Generation

  1. •Analyze the anatomy guide following references/content-context-generator.md
  2. •Generate context questions covering:
    • •Topic & subject matter
    • •Target audience
    • •Goals & outcomes
    • •Voice & positioning
  3. •Save to content-context/context-{timestamp}.md
  4. •Report: "✓ Context requirements saved"

Step 5: Meta Prompt Generation

  1. •Following references/meta-prompt-generator.md, create a two-phase prompt:

Phase 1 - Context Gathering:

  • •Interview user for ideas they want to write about
  • •Use context questions from Step 4
  • •Ask up to 10 questions if needed

Phase 2 - Content Writing:

  • •Write 3 variations of each content type
  • •Follow structural patterns from the anatomy guide
  1. •Save to content-meta-prompt/meta-prompt-{timestamp}.md
  2. •Report: "✓ Meta prompt saved"

Step 6: Execute Meta Prompt

  1. •

    Begin Phase 1: Context Gathering

    • •Interview the user with questions from context requirements
    • •Ask up to 10 questions
    • •Wait for user responses between questions
  2. •

    Proceed to Phase 2: Content Writing

    • •Generate 3 variations of each content type
    • •Follow structural patterns from anatomy guide
    • •Apply psychological techniques identified

Step 7: Save Content Drafts

  1. •Save complete output to content-draft/draft-{timestamp}.md
  2. •Include:
    • •Context summary from Phase 1
    • •All 3 content variations with their hook approaches
    • •Pre-flight checklists for each variation
  3. •Report: "✓ Content drafts saved"

File Naming Convention

All generated files use timestamps: {type}-{YYYY-MM-DD-HHmmss}.md

Examples:

  • •breakdown-2026-01-20-143052.md
  • •anatomy-2026-01-20-143125.md
  • •context-2026-01-20-143200.md
  • •meta-prompt-2026-01-20-143245.md
  • •draft-2026-01-20-143330.md

Twitter/X URL Handling

Twitter/X URLs need special handling:

Detection: URL contains twitter.com or x.com

Transform:

  • •Input: https://x.com/username/status/123456
  • •API URL: https://api.fxtwitter.com/username/status/123456

Error Handling

Failed URL Fetches

  • •Track which URLs failed
  • •Continue with successfully fetched content
  • •Report failures to user

No Valid Content

  • •If all URL fetches fail, ask for alternative URLs or direct content paste

Important Notes

  • •Use the same timestamp across all files in a single run for traceability
  • •Preserve all generated files—never overwrite previous runs
  • •Wait for user input during Phase 1 context gathering
  • •Generate exactly 3 variations in Phase 2