| name | inplasy-registration-helper |
| description | 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 | MIT |
| author | 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:
- Confirm the user input, output path, and any required config values.
- Edit the in-file
CONFIG block or documented parameters if the script uses fixed settings.
- Run
python scripts/date_utils.py with the validated inputs.
- 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:
-
Analyze Input:
- Identify the Title of the review.
-
Calculate Timeline:
- Run
scripts/date_utils.py to obtain the Start Date (today) and Anticipated Completion Date (today + 28 days).
-
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
