intake-project

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Intake and normalize a new radiology research project. Classifies project type, summarizes current state, identifies missing inputs, recommends next steps, and scaffolds lightweight project memory files.

Data & Documents 292 stars 71 forks Updated 4 days ago MIT

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Quality Score: 95/100

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Frontmatter 20%
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Issue Health 10%
50
License 10%
100
Description 5%
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Skill Content

# Intake-Project Skill ## Purpose This skill is the front door for a new or messy project. It converts a folder, document bundle, or mixed set of notes into a structured project state that other skills can use safely. Use this skill when: - a new paper or proposal folder has been created - an older folder exists but is poorly organized - the user asks "what is this project and what should I do next?" - another skill needs a reliable project summary before proceeding --- ## Communication Rules - Communicate with the user in their preferred language. - Keep project labels and file names in the language already used by the workspace. - Use English for manuscript section names, study design names, and medical/statistical terminology. --- ## Inputs Accept any of the following: - a project folder - a manuscript draft - an abstract or proposal - tables/figures plus notes - a mixed folder with PDFs, drafts, and analyses If information is incomplete, infer cautiously from file names and contents, then label uncertain items clearly. --- ## Core Tasks ### 1. Project classification Determine: - project type: `original | review | meta-analysis | case report | technical note | grant | peer review | challenge | career-doc` - primary domain: `radiology | medical AI | multimodal LLM | intervention | survival/prognostic | diagnostic accuracy | workflow` - target output: `paper | abstract | grant | review | rebuttal | CV` - likely target journal or venue, if recoverable ### 2. St...

Details

Author
Aperivue
Repository
Aperivue/medsci-skills
Created
5 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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