Agent skill

Meta Title Generator

by aipoch in aipoch/medical-research-skills

Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise.

MITAuto-check passedResearch & Science

Install Meta Title Generator

skills CLI
$ npx skills add aipoch/medical-research-skills --skill meta-title-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aipoch/medical-research-skills meta-title-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'scientific-skills/Data Analysis/meta-title-generator' .claude/skills/meta-title-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
meta-title-generator
GitHub stars
2k
Token cost
~1.3k tokens
SKILL.md length
594 words
Files
4 (incl. scripts, references)
Skills in repo
567
Repo updated
First seen
Licence
MIT

At a glance

Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise.

  • Works in 4 steps: Confirm the user input, output path, and… → Edit the in-file CONFIG block or… → Run python scripts/search_pubmed.py with… → …
  • The user wants to brainstorm
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 5 more sections
  • Runs Python scripts from its folder; calls python

What it does

Meta Title Generator is an agent skill from aipoch/medical-research-skills. 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.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `meta-title-generator_audit_result_v1.json`, `references/title_generation_prompts.md` and `scripts/search_pubmed.py`).

It sits in Research & Science, covering Academic paper search, Brainstorming and Data analysis. It works with PubMed. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • The user wants to brainstorm
  • Generate titles for a meta-analysis
  • Specifically starting from keywords

Example prompts

  • “Use the meta-title-generator skill to generate Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available…”
  • “/meta-title-generator”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Meta Title Generator loads about 1.3k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 594 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 594 words, ~1,293 tokens.

Download SKILL.mdSave it as .claude/skills/meta-title-generator/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
meta-title-generator
description
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.
license
MIT
author
AIPOCH

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.

bash
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.
Show full SKILL.md (248 more words)Show less

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.

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in scientific-skills/Data Analysis/meta-title-generator of aipoch/medical-research-skills.

  • SKILL.md
  • meta-title-generator_audit_result_v1.json
  • references/title_generation_prompts.md
  • scripts/search_pubmed.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Meta Title Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Meta Title Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Meta Title Generator this skillaipoch/medical-research-skills2k—~1.3kAutomated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12621 repos~5.9kAutomated safety check: NotesMIT
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k3 repos~3.9kAutomated safety check: NotesMIT
Citation Managementneflibata-feng/MyArxiv-Agent12620 repos~8.1kAutomated safety check: NotesMIT
Paper Searchopenags/paper-search-mcp2.8k—~1.2kAutomated safety check: NotesMIT
Rival Search MCPdamionrashford/RivalSearchMCP1321 repos~796Automated safety check: PassMIT

Similar skills

  • Literature Review

    neflibata-feng/MyArxiv-Agent

    Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).

    126 GitHub starsUsed in 21 repos~5.9k tokens
    Research & ScienceAuto-check: notes
  • Citation Management

    K-Dense-AI/claude-scientific-writer

    Finds papers in OpenAlex, PubMed and Google Scholar, turns DOIs, PMIDs and arXiv IDs into clean BibTeX, and validates citations for a manuscript or thesis.

    2.4k GitHub starsUsed in 3 repos~3.9k tokens
    Research & ScienceAuto-check: notes
  • Citation Management

    neflibata-feng/MyArxiv-Agent

    Comprehensive citation management for academic research. An agent skill from neflibata-feng/MyArxiv-Agent.

    126 GitHub starsUsed in 20 repos~8.1k tokens
    Research & ScienceAuto-check: notes
  • Paper Search

    openags/paper-search-mcp

    Search, download, and read academic papers from 20+ sources (arXiv, PubMed, Semantic Scholar, CrossRef, etc).

    2.8k GitHub stars~1.2k tokensUpdated 6 days ago
    Research & ScienceAuto-check: notes
  • Rival Search MCP

    damionrashford/RivalSearchMCP

    Deterministic deep research via RivalSearchMCP. An agent skill from damionrashford/RivalSearchMCP.

    132 GitHub starsUsed in 1 repo~796 tokens
    Research & ScienceAuto-check passed
  • Nature Academic Search

    wp-a/nature-academic-search

    A skill your agent uses when users ask to 找文献、做文献检索、查论文、查临床试验、核验引用、去重文献、设计 PubMed/MeSH 检索式、追踪上下游引文、解析 DOI/PMID/PMCID/arXiv/OpenAlex/Semantic Scholar/NCT ID, 或导出 RIS、BibTeX、NBIB、ENW;also use for…

    299 GitHub stars~1.4k tokensUpdated 7 days ago
    Research & ScienceAuto-check passed

More from aipoch/medical-research-skills

All 567 skills in this repo
  • Academic Poster Generator

    aipoch/medical-research-skills

    Complete workflow for generating academic research posters from PDF literature; use when you need to extract paper content from PDFs and produce a LaTeX-based poster…

    2k GitHub stars~2.2k tokensUpdated 21 days ago
    Auto-check passed
  • Diagnostic Study Quality Assessment Quadas

    aipoch/medical-research-skills

    Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool.

    2k GitHub stars~1.4k tokensUpdated 21 days ago
    Auto-check passed
  • Exploratory Data Analysis

    aipoch/medical-research-skills

    Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.

    2k GitHub stars~3.7k tokensUpdated 21 days ago
    Auto-check passed
  • Iso Certification

    aipoch/medical-research-skills

    A toolkit for preparing ISO 13485:2016 certification documentation for medical device QMS.

    2k GitHub stars~1.8k tokensUpdated 21 days ago
    Auto-check passed
  • Journal Skills

    aipoch/medical-research-skills

    Recommends target journals for manuscript submission by analyzing the paper topic/abstract and the journal distribution of similar PubMed literature; use when users ask for journal…

    2k GitHub stars~1.7k tokensUpdated 21 days ago
    Auto-check passed
  • Latex Posters

    aipoch/medical-research-skills

    Creates academic-poster writing packages for LaTeX using beamerposter, tikzposter, or baposter.

    2k GitHub stars~1.3k tokensUpdated 21 days ago
    Auto-check passed

Works with

Questions about Meta Title Generator

What does Meta Title Generator do?

Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise. Meta Title Generator is an agent skill from aipoch/medical-research-skills. Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise.

When should I use Meta Title Generator?

Meta Title Generator fits situations like: the user wants to brainstorm; generate titles for a meta-analysis; specifically starting from keywords.

How do I install Meta Title Generator in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill meta-title-generator -a claude-code`. Or copy the skill folder (scientific-skills/Data Analysis/meta-title-generator in aipoch/medical-research-skills) into .claude/skills/meta-title-generator in your project. Claude Code loads it when a task matches its description.

How do I install Meta Title Generator in Codex?

Run `npx skills add aipoch/medical-research-skills --skill meta-title-generator -a codex`. Or copy the skill folder (scientific-skills/Data Analysis/meta-title-generator in aipoch/medical-research-skills) into .agents/skills/meta-title-generator in your project. Codex loads it when a task matches its description.

Can I use Meta Title Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill meta-title-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meta-title-generator, .gemini/skills/meta-title-generator, .github/skills/meta-title-generator and .opencode/skills/meta-title-generator in your project.

What does Meta Title Generator need to run?

Going by SKILL.md and its folder, Meta Title Generator needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Meta Title Generator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Meta Title Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Meta Title Generator use?

Meta Title Generator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Meta Title Generator use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 628 tokens, read only when the agent opens those files.

What are the alternatives to Meta Title Generator?

Skills that share tags, products or a category with Meta Title Generator: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars), Citation Management (neflibata-feng/MyArxiv-Agent, 126 stars) and Paper Search (openags/paper-search-mcp, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Meta Title Generator?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,974 GitHub stars. The repository holds 567 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.