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Generates new content drafts based on reference content analysis.
Passed 16 of 21 test cases with the skill, and 8 of 21 without it.
and 8 more in the full report
9 fixed8 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Into which directory should the generated two-phase prompt file be saved during Step 5?
| Checked | Without skill | With skill |
|---|---|---|
| Saves meta prompt files inside the content-meta-prompt/ directory. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
content-breakdown/content-anatomy/content-context/content-meta-prompt/content-draft/For detailed instructions on each subagent, see:
references/content-deconstructor.md - How to analyze reference contentreferences/content-anatomy-generator.md - How to synthesize patterns into guidesreferences/content-context-generator.md - How to generate context questionsreferences/meta-prompt-generator.md - How to create the final promptStep 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
test cases passed, vs 8 / 21 without
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