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

Meta-Analysis Title Generator

When to Use

• Use this skill when you need generates meta-analysis research titles based on user keywords, utilizing pubmed search results if available, or creative generation otherwise. use when the user wants to brainstorm or generate titles for a meta-analysis, specifically starting from keywords or a topic in a reproducible workflow.
• Use this skill when a data analytics 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/search_pubmed.py

  is the most direct path to complete the request.
• Use this skill when you need the

  meta-title-generator

  package behavior rather than a generic answer.

Key Features

• Scope-focused workflow aligned to: Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise. Use when the user wants to brainstorm or generate titles for a meta-analysis, specifically starting from keywords or a topic.
• Packaged executable path(s):

  scripts/search_pubmed.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

See

## Usage

above for related details.

cd "20260316/scientific-skills/Data Analytics/meta-title-generator"
python -m py_compile scripts/search_pubmed.py
python scripts/search_pubmed.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/search_pubmed.py

   with the validated inputs.
4. Review the generated output and return the final artifact with any assumptions called out.

Implementation 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/search_pubmed.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.

Description

This skill generates research titles for Meta-Analysis studies. It takes user-provided keywords, searches PubMed to find relevant literature, and proposes titles based on the findings. If no literature is found, it creatively generates titles based on the keywords. It outputs 5 titles in both English and Chinese.

Usage

1. Search and Generate

When the user provides keywords (e.g., "lung cancer", "hypertension"), follow these steps:

1. Generate Search Strategy: Convert the user's keywords into a PubMed search strategy string (English keywords combined with AND/OR).
2. Search PubMed: Run

   scripts/search_pubmed.py

   with the search strategy.
   • This script returns a JSON object containing the count of results and a summary of papers (if any).
3. Check Results:
   • If the result count is > 0:
     • Analyze the papers found (provided in the script output).
     • Generate 5 Meta-Analysis titles based on the PICOs (Participant, Intervention, Comparison, Outcome, Study design) of these papers.
   • If the result count is 0:
     • Generate 5 Meta-Analysis titles creatively based on the original keywords.
4. Format Output:
   • Present the titles in a specific JSON format containing "Title1" to "Title5", each with "English" and "Chinese" fields.
   • Ensure titles are strictly for Meta-Analysis (not clinical trials).
   • Ensure interventions specify a drug or treatment method.

Quality Rules

• Meta-Analysis Focus: Titles must clearly indicate a Systematic Review and Meta-Analysis.
• Specific Interventions: Do not use broad terms; specify the drug or method.
• Bilingual Output: Every title must have an English and Chinese version.

Reference Material

For detailed prompting strategies used in title generation, see references/title_generation_prompts.md.