Meta Title Generator
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.
SKILL.md
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.pyis the most direct path to complete the request. - Use this skill when you need the
meta-title-generatorpackage 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:
- Confirm the user input, output path, and any required config values.
- Edit the in-file
CONFIGblock or documented parameters if the script uses fixed settings. - Run
python scripts/search_pubmed.pywith the validated inputs. - 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:
- Generate Search Strategy: Convert the user's keywords into a PubMed search strategy string (English keywords combined with AND/OR).
- Search PubMed: Run
scripts/search_pubmed.pywith the search strategy.- This script returns a JSON object containing the count of results and a summary of papers (if any).
- 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.
- If the result count is > 0:
- 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.