Generates structured biomedical outlines for review articles, discussion sections, and thesis proposals. Use when a user provides biomedical keywords, results/discussion text, or a proposal title plus background and needs a directly usable academic writing scaffold.
84
81%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
This is an Academic Writing skill for producing manuscript-grade biomedical outlines with deterministic headings and clear section logic.
If you want to confirm the local helper path exists before use:
python scripts/validate_skill.py --checkThis helper is optional. The primary workflow is still direct outline generation from user input.
Use this skill in biomedical contexts when the user wants one of these three outputs:
Title: plus background, methods expectations, cohort notes, timeline, or validation requirementsRecommended:
Use this type when the input is mostly:
Signals:
Title:Use this type when the input contains:
Use this type when the input contains:
Title:If the request is off-domain, stop and use the refusal contract in ## Fallback and Refusal Contract.
Must include:
4-6 major chapters2-3 subchapters under each major chapter where appropriateMust include:
Must include:
#, ##, ###to be addedConfirm that:
Assign Type I, II, or III using the rules above.
Use the output contract for the detected type and keep section order deterministic.
For each section, add actionable subpoints that reflect:
Check that:
If the input is non-biomedical or too weak to classify, respond with:
Cannot generate a biomedical outline yet.
Reason: <non-biomedical input / insufficient context / unsupported request>
Accepted retry formats:
- Review: biomedical keywords or topic direction
- Discussion: biomedical results/discussion paragraph
- Proposal: `Title:` plus background and objectivesResearch direction: tumor microenvironment, macrophage polarization, immune checkpoint resistance
Please generate a review outline.In our mouse model, anti-PD-1 reduced tumor burden, but the effect was lost after CSF1 overexpression. Please draft a discussion outline.Title: Exosomal miRNAs as early diagnostic biomarkers for Alzheimer's disease
Background: include plasma exosomes, qPCR versus small RNA-seq, validation cohort, and neuroinflammation markers.f82162b
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.