inplasy-registration-helper

name: inplasy-registration-helperdescription: Assists researchers in generating INPLASY registration content for meta-analyses from a title and optional protocol. Use when the user wants to draft a INPLASY registration form.license: MITauthor: AIPOCH

Source: https://github.com/aipoch/medical-research-skills

PROSPERO Registration Helper

This skill helps researchers draft a PROSPERO registration form for a meta-analysis. It generates the required fields based on a study title and an optional protocol.

When to Use

• Use this skill when you need assists researchers in generating inplasy registration content for meta-analyses from a title and optional protocol. use when the user wants to draft a inplasy registration form in a reproducible workflow.
• Use this skill when a protocol design task needs a packaged method instead of ad-hoc freeform output.
• Use this skill when the user expects a concrete deliverable, validation step, or file-based result.
• Use this skill when scripts/date_utils.py is the most direct path to complete the request.
• Use this skill when you need the INPLASY-registration-helper package behavior rather than a generic answer.

Key Features

• Scope-focused workflow aligned to: Assists researchers in generating INPLASY registration content for meta-analyses from a title and optional protocol. Use when the user wants to draft a INPLASY registration form.
• Packaged executable path(s): scripts/date_utils.py.
• Reference material available in references/ for task-specific guidance.
• Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

• Python: 3.10+. Repository baseline for current packaged skills.
• Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

cd "20260316/scientific-skills/Protocol Design/INPLASY-registration-helper"
python -m py_compile scripts/date_utils.py
python scripts/date_utils.py --help

Example run plan:

1. Confirm the user input, output path, and any required config values.
2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
3. Run python scripts/date_utils.py with the validated inputs.
4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

• Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
• Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
• Primary implementation surface: scripts/date_utils.py.
• Reference guidance: references/ contains supporting rules, prompts, or checklists.
• Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
• Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Workflow

To generate the registration draft, follow these steps:

1. Analyze Input:

   • Identify the Title of the review.

2. Calculate Timeline:

   • Run scripts/date_utils.py to obtain the Start Date (today) and Anticipated Completion Date (today + 28 days).

3. Generate Content:

   • Use the prompts in references/registration_templates.md to generate the registration sections.

Quality Rules

• Language: All generated content must be in English.
• Placeholder Handling:
  • Keep {}: Content inside curly braces {} (e.g., {Select the country...}) must be preserved exactly as is. These often represent dropdown options in the PROSPERO system.
  • Fill <>: Content inside angle brackets <> must be replaced with your AI-generated analysis based on the input title and protocol.
• PICO Extraction: Ensure PICO elements are clearly identified and used to inform the search strategy and eligibility criteria.

Tools

Date Utility

Use this script to get the standard timeline dates.

python scripts/date_utils.py