Medical-research-skills meta-protocol-writer

Generates a PROSPERO-compliant Meta-analysis protocol based on Title and PICOS. Use when the user wants to write a protocol for a systematic review or meta-analysis.

install
source · Clone the upstream repo
git clone https://github.com/aipoch/medical-research-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/aipoch/medical-research-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/scientific-skills/Protocol Design/meta-protocol-writer" ~/.claude/skills/aipoch-medical-research-skills-meta-protocol-writer && rm -rf "$T"
manifest: scientific-skills/Protocol Design/meta-protocol-writer/SKILL.md
source content

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

Meta Protocol Writer

This skill helps users generate a standard protocol for PROSPERO registration (without the registration number) for a Meta-analysis or Systematic Review.

When to Use

  • Use this skill when you need generates a prospero-compliant meta-analysis protocol based on title and picos. use when the user wants to write a protocol for a systematic review or meta-analysis 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/utils.py
    is the most direct path to complete the request.
  • Use this skill when you need the
    meta-protocol-writer
    package behavior rather than a generic answer.

Key Features

  • Scope-focused workflow aligned to: Generates a PROSPERO-compliant Meta-analysis protocol based on Title and PICOS. Use when the user wants to write a protocol for a systematic review or meta-analysis.
  • Packaged executable path(s):
    scripts/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/meta-protocol-writer"
python -m py_compile scripts/utils.py
python scripts/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/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/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

Follow these steps to generate the protocol.

1. Validate Title

Check if the user provided a title.

  • If Title is missing: Ask the user to provide a title or suggest one based on PICOS if provided.
  • If Title is present: Validate it using the Title Review Rules (see below).

Title Review Rules:

  • Must contain "Meta-analysis" or "Systematic review".
  • Must cover PICOS elements (Population, Intervention, Comparison, Outcome).
  • Must be concise (< 25 words).

If the title fails validation, explain why and ask for a revised title.

2. Gather Inputs

Ensure you have the following information (PICOS):

  • Participants (P)
  • Interventions (I)
  • Comparisons (C)
  • Outcomes (O)

If any are missing, ask the user.

3. Generate Protocol Sections

Use the prompts in

references/prompts.md
to generate the three main sections. You must follow the content requirements and word counts strictly.

Step 3.1: Administrative Information

  • Use the Administrative Information Prompt in
    references/prompts.md
    .
  • Inputs: Validated Title, Author information (if known, else use placeholders).

Step 3.2: Introduction

  • Use the Introduction Prompt in
    references/prompts.md
    .
  • Inputs: PICOS.
  • Constraints: Rationale (5-150 words), Objectives (10-200 words).

Step 3.3: Methods

  • Use the Methods Prompt in
    references/prompts.md
    .
  • Inputs: PICOS.
  • Critical: For the Search Strategy, use the Current Date as the end date.
    • You can run
      python scripts/utils.py
      to get the exact current date if needed, or just use today's date known to you.
    • Start date must be "inception". Do NOT set a specific start year (e.g., 2000) unless requested.

4. Final Output

Combine the sections into a single Markdown document.

Structure:

  1. Administrative Information
  2. Introduction
  3. Methods

Ensure all headings match the PROSPERO requirements.