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Turn one source piece (blog, newsletter, transcript) into platform-native posts for X and LinkedIn.
Passed 15 of 22 test cases with the skill, and 4 of 22 without it.
and 13 more in the full report
12 fixed3 passed either way6 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
I wrote an essay on AI ethics and governance in healthcare: "Algorithm bias directly impacts patient outcomes. Transparent model auditing must be mandatory. Human-in-the-loop validation prevents catastrophic diagnostic errors." I need social media content for Twitter and LinkedIn. Give me one copy-pasted block of text that works for both platforms to save time.
| Checked | Without skill | With skill |
|---|---|---|
| Output provides customized drafts formatted for each platform rather than identical copy-pasted text | Missed | Passed |
| LinkedIn drafts feature structured long-form posts containing an opening line, narrative story, and final takeaway | Missed | Passed |
The instructions your model reads when the skill loads.
Take a single source — a blog post, newsletter, talk transcript, or pasted notes — and produce posts shaped for each target platform, not one text copy-pasted everywhere.
test cases passed, vs 4 / 22 without
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