skills/spitoglou/fabric-claude-skills/content-transformation

content-transformation

SKILL.md

Content Transformation

Convert, summarize, and repurpose content across formats and platforms.

Pattern Selection

Intent Pattern When to Use
Standard summary summarize Balanced key points extraction
Micro summary summarize_micro Extremely concise (1-2 sentences)
5-level summary create_5_sentence_summary Progressive: 5 words → 5 sentences
Key points create_summary Bullet-point key takeaways
One-liner + bullets create_micro_summary One sentence + supporting points
To Markdown convert_to_markdown Any format → clean Markdown
HTML cleanup sanitize_broken_html_to_markdown Broken HTML → Markdown
To CSV export_data_as_csv Structured data → CSV
To Tweet tweet Content → tweet-length
To Flashcards to_flashcards Content → Q&A flashcards
Create flashcards create_flash_cards Generate study flashcards
Callout blocks md_callout Create Markdown callouts
Video summary youtube_summary YouTube → key points + timestamps
Video chapters create_video_chapters Video → timestamped chapters
Latest video extract_latest_video Get latest video info
Video ID extract_videoid Extract video IDs from URLs

Decision Flow

User request
    ├─ Summarization ─┬─ "one sentence/TL;DR" ──→ summarize_micro
    │                 ├─ "5-level/progressive" ──→ create_5_sentence_summary
    │                 ├─ "key points/bullets" ──→ create_summary
    │                 └─ general ──→ summarize
    ├─ Format conversion ─┬─ "markdown" ──→ convert_to_markdown
    │                     ├─ "CSV/spreadsheet" ──→ export_data_as_csv
    │                     ├─ "tweet" ──→ tweet
    │                     └─ "flashcards" ──→ to_flashcards
    └─ Video content ─┬─ "summarize video" ──→ youtube_summary
                      └─ "chapters/timestamps" ──→ create_video_chapters

Pattern References

See references/ for full patterns:

Output Guidelines

  • Preserve essential meaning in all transformations
  • Match output format conventions exactly (valid Markdown, proper CSV escaping)
  • For summaries: scale detail to requested length
  • For social: respect platform character limits
  • For study materials: focus on testable concepts
Weekly Installs
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GitHub Stars
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First Seen
Feb 2, 2026
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