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Craft structured research abstracts that maximize clarity and journal acceptance
Passed 21 of 23 test cases with the skill, and 14 of 23 without it.
and 6 more in the full report
7 fixed14 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our target journal imposes a strict 150-word limit on structured abstracts. Based on standard allocation percentages for background (15%), methods (25%), results (35%), and conclusion (25%), what are the target word counts for each of the four sections?
| Checked | Without skill | With skill |
|---|---|---|
| Allocates 23 words to background | Missed | Passed |
| Allocates 53 words to results | Passed | Passed |
| Allocates 38 words to conclusion | Missed | Passed |
The instructions your model reads when the skill loads.
A skill for writing effective research abstracts that clearly communicate your study's purpose, methods, results, and significance. Covers structured and unstructured formats, word count optimization, and common pitfalls.
Most journals in science and medicine require a structured abstract:
BACKGROUND/OBJECTIVE: 1-2 sentences on the problem and study aim
METHODS: 2-3 sentences on study design, participants, and analysis
RESULTS: 2-4 sentences with key quantitative findings
CONCLUSION: 1-2 sentences on implications and significance
Total: typically 150-300 words (check journal requirements)
Common in social sciences and humanities:
Sentence 1: Context and problem statement
Sentence 2: Research gap or objective
Sentence 3: Methods overview
Sentence 4-5: Key findings
Sentence 6: Implications and significance
Total: typically 150-250 words
def generate_abstract_outline(study_info: dict) -> dict:
"""
test cases passed, vs 14 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.