How do I install the Meta Analysis skill?

Run npx skillmds@latest add yogsoth-ai/meta-analysis-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Meta Analysis safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Meta Analysis?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Meta Analysis free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Meta Analysis?

yogsoth-ai (@yogsoth-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Meta Analysis by yogsoth-ai — Agent Skill

Name: Meta Analysis
Author: yogsoth-ai

Meta Analysis

Cross-Study Statistical Synthesis Campaign — 5 strategies for systematic collection and methodological planning of multi-study evidence synthesis. Covers pairwise, network, cumulative meta-analysis, heterogeneity investigation, and bias detection. Stops at protocol design (no computation).

yogsoth-ai Updated Sep 21, 2026

File contents

Meta-Analysis Campaign

Cross-study statistical synthesis — systematic collection and methodological planning for multi-study evidence synthesis. This campaign orchestrates the full meta-analysis planning pipeline from PICO formulation through protocol design, stopping before computation.

Strategy Routing

Trigger	Strategy	When
Two-arm comparison	pairwise-synthesis	Comparing method A vs B across studies
Multi-method comparison	network-comparison	Comparing N>=3 methods with indirect evidence
Temporal evidence tracking	cumulative-tracking	Tracking how evidence evolves over time
Inconsistent findings	heterogeneity-investigation	Studies disagree — explain why
Evidence reliability	bias-detection	Assess systematic biases in evidence body

Manifest

Strategies (5)

Strategy	Purpose
pairwise-synthesis	Paired meta-analysis protocol for two-method comparison
network-comparison	Network meta-analysis for N-method simultaneous comparison
cumulative-tracking	Cumulative meta-analysis tracking evidence over time
heterogeneity-investigation	Explain inter-study variation in findings
bias-detection	Systematic bias assessment of evidence body

Tactics (3)

Tactic	Purpose
effect-size-extraction	Extract effect sizes and conditions from papers
quality-assessment-protocol	Methodological quality and bias risk assessment
evidence-synthesis-planning	Plan the statistical synthesis approach

Subagent SOPs (10)

SOP	Purpose
pico-formulation	Construct PICO/PECO framework
inclusion-criteria-design	Define inclusion/exclusion criteria
effect-size-planning	Determine effect size types and calculation methods
data-extraction-form	Design structured data extraction form
risk-of-bias-assessment	Assess methodological bias (RoB2/PROBAST/QUADAS-2)
heterogeneity-source-analysis	Identify and classify heterogeneity sources
publication-bias-assessment	Plan funnel plots, Egger's test, trim-and-fill, p-curve
sensitivity-analysis-design	Design leave-one-out, influence diagnostics, subgroups
evidence-network-construction	Build evidence network graph for NMA
meta-analysis-synthesis	Produce final meta-analysis protocol document

Budget Table

Strategy	Studies	Effect Sizes	Web Searches
pairwise-synthesis	30	30	40
network-comparison	50	80	60
cumulative-tracking	40	40	30
heterogeneity-investigation	30	30	50
bias-detection	40	40	40

MCP Tools

MCP Server	Tools
brave-search	brave_web_search, brave_llm_context
apify	rag-web-browser, google-scholar-scraper
alphaxiv	get_paper_content, answer_pdf_queries
semantic-scholar	ss_relevance_search, ss_paper, ss_references, ss_citations

Context Management

Input: Research question, domain, candidate studies (optional)
State: Strategy state ledgers track studies found, effect sizes extracted, quality assessed
Output: Complete meta-analysis protocol document (PRISMA-compliant)
Persistence: All intermediate outputs stored in context/meta-analysis/ subdirectories per strategy

---name: meta-analysis-2description: Cross-Study Statistical Synthesis Campaign — 5 strategies for systematic collection and methodological planning of multi-study evidence synthesis. Covers pairwise, network, cumulative meta-analysis, heterogeneity investigation, and bias detection. Stops at protocol design (no computation).---# Meta-Analysis CampaignCross-study statistical synthesis — systematic collection and methodological planning for multi-study evidence synthesis. This campaign orchestrates the full meta-analysis planning pipeline from PICO formulation through protocol design, stopping before computation.## Strategy Routing| Trigger | Strategy | When ||---------|----------|------|| Two-arm comparison | pairwise-synthesis | Comparing method A vs B across studies || Multi-method comparison | network-comparison | Comparing N>=3 methods with indirect evidence || Temporal evidence tracking | cumulative-tracking | Tracking how evidence evolves over time || Inconsistent findings | heterogeneity-investigation | Studies disagree — explain why || Evidence reliability | bias-detection | Assess systematic biases in evidence body |## Manifest### Strategies (5)| Strategy | Purpose ||----------|---------|| pairwise-synthesis | Paired meta-analysis protocol for two-method comparison || network-comparison | Network meta-analysis for N-method simultaneous comparison || cumulative-tracking | Cumulative meta-analysis tracking evidence over time || heterogeneity-investigation | Explain inter-study variation in findings || bias-detection | Systematic bias assessment of evidence body |### Tactics (3)| Tactic | Purpose ||--------|---------|| effect-size-extraction | Extract effect sizes and conditions from papers || quality-assessment-protocol | Methodological quality and bias risk assessment || evidence-synthesis-planning | Plan the statistical synthesis approach |### Subagent SOPs (10)| SOP | Purpose ||-----|---------|| pico-formulation | Construct PICO/PECO framework || inclusion-criteria-design | Define inclusion/exclusion criteria || effect-size-planning | Determine effect size types and calculation methods || data-extraction-form | Design structured data extraction form || risk-of-bias-assessment | Assess methodological bias (RoB2/PROBAST/QUADAS-2) || heterogeneity-source-analysis | Identify and classify heterogeneity sources || publication-bias-assessment | Plan funnel plots, Egger's test, trim-and-fill, p-curve || sensitivity-analysis-design | Design leave-one-out, influence diagnostics, subgroups || evidence-network-construction | Build evidence network graph for NMA || meta-analysis-synthesis | Produce final meta-analysis protocol document |## Budget Table| Strategy | Studies | Effect Sizes | Web Searches ||----------|---------|--------------|--------------|| pairwise-synthesis | 30 | 30 | 40 || network-comparison | 50 | 80 | 60 || cumulative-tracking | 40 | 40 | 30 || heterogeneity-investigation | 30 | 30 | 50 || bias-detection | 40 | 40 | 40 |## MCP Tools| MCP Server | Tools ||------------|-------|| brave-search | brave_web_search, brave_llm_context || apify | rag-web-browser, google-scholar-scraper || alphaxiv | get_paper_content, answer_pdf_queries || semantic-scholar | ss_relevance_search, ss_paper, ss_references, ss_citations |## Context Management- **Input**: Research question, domain, candidate studies (optional)- **State**: Strategy state ledgers track studies found, effect sizes extracted, quality assessed- **Output**: Complete meta-analysis protocol document (PRISMA-compliant)- **Persistence**: All intermediate outputs stored in `context/meta-analysis/` subdirectories per strategy

Frequently asked questions