Lit Search
luwill/research-skills
Runs an exhaustive time-windowed literature search over a research topic and delivers a quality-tiered DOI list plus a matching formatted reference list, with measurable recall (gold-set recall…
Systematic review methodology with PRISMA and evidence synthesis
Install Systematic Review Guide
$ npx skills add wentorai/research-plugins --skill systematic-review-guide -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins systematic-review-guide --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research/deep-research/systematic-review-guide .claude/skills/systematic-review-guide && rm -rf skills-srcUse ~/.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/
Install the "systematic-review-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/research/deep-research/systematic-review-guide into .claude/skills/systematic-review-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review-guide", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/wentorai/research-plugins/tree/main/skills/research/deep-research/systematic-review-guideType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add wentorai/research-plugins --skill systematic-review-guide -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins systematic-review-guide --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research/deep-research/systematic-review-guide .agents/skills/systematic-review-guide && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "systematic-review-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/research/deep-research/systematic-review-guide into .agents/skills/systematic-review-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review-guide", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill systematic-review-guide -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins systematic-review-guide --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research/deep-research/systematic-review-guide .cursor/skills/systematic-review-guide && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "systematic-review-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/research/deep-research/systematic-review-guide into .cursor/skills/systematic-review-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review-guide", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/wentorai/research-plugins.git --path skills/research/deep-research/systematic-review-guide--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add wentorai/research-plugins --skill systematic-review-guide -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins systematic-review-guide --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research/deep-research/systematic-review-guide .gemini/skills/systematic-review-guide && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "systematic-review-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/research/deep-research/systematic-review-guide into .gemini/skills/systematic-review-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review-guide", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install wentorai/research-plugins systematic-review-guideInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add wentorai/research-plugins --skill systematic-review-guide -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research/deep-research/systematic-review-guide .github/skills/systematic-review-guide && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "systematic-review-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/research/deep-research/systematic-review-guide into .github/skills/systematic-review-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review-guide", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill systematic-review-guide -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins systematic-review-guide --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research/deep-research/systematic-review-guide .opencode/skills/systematic-review-guide && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "systematic-review-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/research/deep-research/systematic-review-guide into .opencode/skills/systematic-review-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review-guide", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
systematic-review-guide- GitHub stars
- 298
- Used in
- 1 other repo
- Token cost
- ~2.1k tokens
- SKILL.md length
- 480 words
- Files
- 1
- Skills in repo
- 405
- Repo updated
- First seen
- Licence
- MIT
At a glance
Systematic review methodology with PRISMA and evidence synthesis
- Works in 8 steps: Define the Research Question → Register the Protocol → Conduct the Search → …
- Tasks that involve Literature review
- SKILL.md covers What Is a Systematic Review?, Step-by-Step Workflow and Common Pitfalls
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Systematic Review Guide is an agent skill from wentorai/research-plugins. Systematic review methodology with PRISMA and evidence synthesis
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Literature review and ORMs and data access. It works with Prisma. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.
When your agent uses it
- Tasks that involve Literature review
- Tasks that involve ORMs and data access
Example prompts
- “/systematic-review-guide”
Requirements
- Python 3
Workflow steps
8 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit bf44b3c. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown, python and r).
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
Systematic Review Guide loads about 2.1k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 480 words of instructions outside code blocks.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 480 words, ~2,063 tokens.
Download SKILL.mdSave it as
.claude/skills/systematic-review-guide/SKILL.md (or your agent's skills folder).- name
- systematic-review-guide
- description
- Systematic review methodology with PRISMA and evidence synthesis
Systematic Review Guide
Conduct rigorous systematic reviews and meta-analyses following PRISMA 2020 guidelines, from protocol registration through evidence synthesis and reporting.
What Is a Systematic Review?
A systematic review is a structured, transparent, and reproducible method for identifying, evaluating, and synthesizing all relevant research on a specific question. Unlike narrative reviews, systematic reviews:
- Follow a pre-registered protocol
- Use comprehensive, documented search strategies
- Apply explicit inclusion/exclusion criteria
- Assess risk of bias in included studies
- Synthesize findings quantitatively (meta-analysis) or narratively
Step-by-Step Workflow
Step 1: Define the Research Question
Use a structured framework to formulate your question:
| Framework | Components | Best For |
|---|---|---|
| PICO | Population, Intervention, Comparator, Outcome | Clinical/intervention studies |
| PCC | Population, Concept, Context | Scoping reviews |
| SPIDER | Sample, Phenomenon of Interest, Design, Evaluation, Research type | Qualitative/mixed methods |
| PEO | Population, Exposure, Outcome | Observational studies |
Example (PICO):
- P: Adults with Type 2 diabetes
- I: Telehealth-based self-management programs
- C: Standard in-person care
- O: HbA1c levels, quality of life
Step 2: Register the Protocol
Register your protocol before conducting the search to reduce publication bias and selective reporting:
- PROSPERO (crd.york.ac.uk/prospero): Free registration for health-related systematic reviews
- OSF Registries (osf.io/registries): Open to all disciplines
- Protocol paper: Publish in BMJ Open, Systematic Reviews, or JMIR Research Protocols
Protocol should include:
- Research question and objectives
- Eligibility criteria
- Search strategy (databases, search terms)
- Screening process
- Data extraction plan
- Risk of bias assessment tool
- Synthesis method (meta-analysis or narrative)
Step 3: Conduct the Search
Recommended minimum databases (health sciences):
1. PubMed / MEDLINE
2. Embase
3. Cochrane Central Register of Controlled Trials (CENTRAL)
4. At least one subject-specific database
Recommended minimum databases (social sciences):
1. Web of Science
2. Scopus
3. PsycINFO or ERIC (field-specific)
4. ProQuest Dissertations (for grey literature)
Additional sources:
- Reference lists of included studies (backward citation chaining)
- Forward citation searches
- Grey literature: conference proceedings, theses, reports
- Trial registries: ClinicalTrials.gov, WHO ICTRP
- Preprint servers: medRxiv, SSRNDocument each search with: database name, date, exact search string, and number of results.
Step 4: Screen Studies
Two-stage screening, each conducted by at least two independent reviewers:
Stage 1: Title and Abstract Screening
- Apply inclusion/exclusion criteria based on title + abstract only
- Resolve disagreements by discussion or third reviewer
- Calculate inter-rater reliability (Cohen's kappa >= 0.60)
Stage 2: Full-Text Screening
- Retrieve full texts of all studies passing Stage 1
- Apply full eligibility criteria
- Document reasons for exclusion at this stage
- Calculate inter-rater reliabilityScreening tools: Covidence (covidence.org), Rayyan (rayyan.ai), ASReview (AI-assisted)
Step 5: Extract Data
Create a standardized data extraction form:
| Field | Description |
|-------|-------------|
| Study ID | First author + year |
| Country | Where study was conducted |
| Study design | RCT, cohort, cross-sectional, etc. |
| Sample size | N in each group |
| Population | Demographics, inclusion criteria used |
| Intervention | Description, duration, intensity |
| Comparator | Description of control condition |
| Outcomes | Primary and secondary, measurement tools |
| Results | Effect sizes, confidence intervals, p-values |
| Funding | Source of funding |
| Conflicts of interest | Declared COIs |Pilot the extraction form on 3-5 studies, then extract independently by two reviewers.
Show full SKILL.md (190 more words)Show less
Step 6: Assess Risk of Bias
Select the appropriate tool based on study design:
| Study Design | Tool | Developer |
|---|---|---|
| Randomized trials | RoB 2 | Cochrane |
| Non-randomized interventions | ROBINS-I | Cochrane |
| Observational (cohort, case-control) | Newcastle-Ottawa Scale (NOS) | Wells et al. |
| Cross-sectional | JBI Critical Appraisal Checklist | Joanna Briggs Institute |
| Qualitative studies | CASP Qualitative Checklist | CASP |
| Diagnostic accuracy | QUADAS-2 | Whiting et al. |
Step 7: Synthesize Evidence
Narrative Synthesis
When meta-analysis is not appropriate (due to heterogeneity in study designs, populations, or outcomes):
- Group studies by outcome, population, or intervention type
- Describe patterns and consistencies across studies
- Use vote counting only with direction of effect (not p-values)
- Present findings in summary tables
Meta-Analysis
When studies are sufficiently similar to pool quantitatively:
# Meta-analysis using Python (PythonMeta or custom)
# Example: Random-effects meta-analysis of standardized mean differences
import numpy as np
from scipy.stats import norm
def random_effects_meta(effects, variances):
"""DerSimonian-Laird random effects meta-analysis."""
weights_fe = 1 / np.array(variances)
theta_fe = np.sum(weights_fe * effects) / np.sum(weights_fe)
# Estimate tau-squared (between-study variance)
Q = np.sum(weights_fe * (effects - theta_fe)**2)
df = len(effects) - 1
C = np.sum(weights_fe) - np.sum(weights_fe**2) / np.sum(weights_fe)
tau2 = max(0, (Q - df) / C)
# Random effects weights
weights_re = 1 / (np.array(variances) + tau2)
theta_re = np.sum(weights_re * effects) / np.sum(weights_re)
se_re = np.sqrt(1 / np.sum(weights_re))
ci_lower = theta_re - 1.96 * se_re
ci_upper = theta_re + 1.96 * se_re
# Heterogeneity statistics
I2 = max(0, (Q - df) / Q * 100) if Q > 0 else 0
return {
"pooled_effect": theta_re,
"ci_lower": ci_lower,
"ci_upper": ci_upper,
"tau2": tau2,
"I2": I2,
"Q": Q,
"p_heterogeneity": 1 - chi2.cdf(Q, df)
}# Meta-analysis in R using metafor
library(metafor)
# Random-effects model (REML estimator)
res <- rma(yi = effect_sizes, vi = variances, method = "REML", data = dat)
summary(res)
# Forest plot
forest(res, slab = dat$study_label, header = TRUE)
# Funnel plot (publication bias assessment)
funnel(res)
# Egger's test for funnel plot asymmetry
regtest(res)Step 8: Report Using PRISMA 2020
The PRISMA 2020 flow diagram documents the study selection process:
Records identified from databases (n = X)
Records identified from other sources (n = X)
|
Records after duplicates removed (n = X)
|
Records screened (title/abstract) (n = X)
-> Records excluded (n = X)
|
Reports sought for retrieval (n = X)
-> Reports not retrieved (n = X)
|
Reports assessed for eligibility (n = X)
-> Reports excluded with reasons (n = X)
- Reason 1 (n = X)
- Reason 2 (n = X)
- Reason 3 (n = X)
|
Studies included in review (n = X)
Studies included in meta-analysis (n = X)Common Pitfalls
| Pitfall | Solution |
|---|---|
| Incomplete search | Search at least 3 databases + grey literature |
| Single reviewer screening | Always use 2 independent reviewers |
| No protocol registration | Register on PROSPERO or OSF before searching |
| Ignoring heterogeneity | Report I-squared, conduct subgroup analyses |
| Publication bias unaddressed | Use funnel plots, Egger's test, trim-and-fill |
| Selective outcome reporting | Extract all pre-specified outcomes from protocol |
© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/research/deep-research/systematic-review-guide of wentorai/research-plugins.
Open the folder on GitHubat commit bf44b3c
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Systematic Review Guide 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Systematic Review Guide this skillwentorai/research-plugins | 298 | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Lit Searchluwill/research-skills | 860 | — | ~3.7k | Automated safety check: Notes | MIT | |
| Ma Search Bibliographyhtlin222/meta-pipe | 139 | — | ~2.1k | Automated safety check: Notes | Custom licence | |
| Meta AnalysisAperivue/medsci-skills | 333 | — | ~8.7k | Automated safety check: Pass | MIT | |
| Review PaperAperivue/medsci-skills | 333 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Researchbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~8k | Automated safety check: Pass | Custom licence |
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Related
Works with
Categories
Questions about Systematic Review Guide
What does Systematic Review Guide do?
Systematic review methodology with PRISMA and evidence synthesis. Systematic Review Guide is an agent skill from wentorai/research-plugins.
When should I use Systematic Review Guide?
Systematic Review Guide fits situations like: tasks that involve Literature review; tasks that involve ORMs and data access.
How do I install Systematic Review Guide in Claude Code?
Run `npx skills add wentorai/research-plugins --skill systematic-review-guide -a claude-code`. Or copy the skill folder (skills/research/deep-research/systematic-review-guide in wentorai/research-plugins) into .claude/skills/systematic-review-guide in your project. Claude Code loads it when a task matches its description.
How do I install Systematic Review Guide in Codex?
Run `npx skills add wentorai/research-plugins --skill systematic-review-guide -a codex`. Or copy the skill folder (skills/research/deep-research/systematic-review-guide in wentorai/research-plugins) into .agents/skills/systematic-review-guide in your project. Codex loads it when a task matches its description.
Can I use Systematic Review Guide 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 wentorai/research-plugins --skill systematic-review-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/systematic-review-guide, .gemini/skills/systematic-review-guide, .github/skills/systematic-review-guide and .opencode/skills/systematic-review-guide in your project.
What does Systematic Review Guide need to run?
SKILL.md names no scripts, command-line tools or credentials: Systematic Review Guide is instructions for the agent only. Our summary lists: Python 3.
Does Systematic Review Guide 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 Systematic Review Guide 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. Review the folder before installing.
What licence does Systematic Review Guide use?
Systematic Review Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Systematic Review Guide use?
About 2.1k tokens (SKILL.md is roughly 8.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Systematic Review Guide?
Skills that share tags, products or a category with Systematic Review Guide: Lit Search (luwill/research-skills, 860 stars), Ma Search Bibliography (htlin222/meta-pipe, 139 stars), Meta Analysis (Aperivue/medsci-skills, 333 stars) and Review Paper (Aperivue/medsci-skills, 333 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Systematic Review Guide?
wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.
Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.