prospero-registration-helper

name	prospero-registration-helper
description	Assists researchers in generating PROSPERO registration content for meta-analyses from a title and optional protocol. Use when the user wants to draft a PROSPERO 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 prospero registration content for meta-analyses from a title and optional protocol. use when the user wants to draft a prospero 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 prospero-registration-helper package behavior rather than a generic answer.

Key Features

• Scope-focused workflow aligned to: Assists researchers in generating PROSPERO registration content for meta-analyses from a title and optional protocol. Use when the user wants to draft a PROSPERO 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/prospero-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.
   • Check if a Protocol text is provided.

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/prompt_templates.md to generate the registration sections.
   • Step 3.1: Basic Details: Use the "Review Title and Basic Details" prompt. Extract PICO (Population, Intervention, Comparison, Outcome) from the title.
   • Step 3.2: Eligibility Criteria: Use the "Eligibility Criteria" prompt.
   • Step 3.3: Timeline & Methods: Use the "Timeline and Methods" prompt. Fill in the dates calculated in Step 2.

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

Error Handling

• If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
• If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
• If execution fails, report the failure point, summarize what can still be completed safely, and provide a manual fallback.
• Do not fabricate files, citations, data, search results, or execution outcomes.

Input Validation

This skill accepts requests that match the documented purpose of prospero-registration-helper and include enough context to complete the workflow safely.

Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:

prospero-registration-helper only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.