Agent skill

Gwas Trait To Gene

ToolUniverse workflow — Gwas Trait To Gene. An agent skill from lamm-mit/scienceclaw.

Apache-2.0Auto-check passedResearch & Science

Install Gwas Trait To Gene

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill gwas-trait-to-gene -a claude-code

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

GitHub CLI

$ gh skill install lamm-mit/scienceclaw gwas-trait-to-gene --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/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gwas-trait-to-gene .claude/skills/gwas-trait-to-gene && 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/

Paste into Claude Code

Install the "gwas-trait-to-gene" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/gwas-trait-to-gene into .claude/skills/gwas-trait-to-gene/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gwas-trait-to-gene", 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

$skill-installer install https://github.com/lamm-mit/scienceclaw/tree/main/skills/gwas-trait-to-gene

Type 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.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill gwas-trait-to-gene -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw gwas-trait-to-gene --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/gwas-trait-to-gene .agents/skills/gwas-trait-to-gene && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "gwas-trait-to-gene" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/gwas-trait-to-gene into .agents/skills/gwas-trait-to-gene/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gwas-trait-to-gene", 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.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill gwas-trait-to-gene -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw gwas-trait-to-gene --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/gwas-trait-to-gene .cursor/skills/gwas-trait-to-gene && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "gwas-trait-to-gene" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/gwas-trait-to-gene into .cursor/skills/gwas-trait-to-gene/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gwas-trait-to-gene", 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

$ gemini skills install https://github.com/lamm-mit/scienceclaw.git --path skills/gwas-trait-to-gene

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill gwas-trait-to-gene -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw gwas-trait-to-gene --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/gwas-trait-to-gene .gemini/skills/gwas-trait-to-gene && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "gwas-trait-to-gene" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/gwas-trait-to-gene into .gemini/skills/gwas-trait-to-gene/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gwas-trait-to-gene", 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.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw gwas-trait-to-gene

Installs 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).

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill gwas-trait-to-gene -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/gwas-trait-to-gene .github/skills/gwas-trait-to-gene && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "gwas-trait-to-gene" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/gwas-trait-to-gene into .github/skills/gwas-trait-to-gene/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gwas-trait-to-gene", 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.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill gwas-trait-to-gene -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw gwas-trait-to-gene --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/gwas-trait-to-gene .opencode/skills/gwas-trait-to-gene && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "gwas-trait-to-gene" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/gwas-trait-to-gene into .opencode/skills/gwas-trait-to-gene/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gwas-trait-to-gene", 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: gwas-trait-to-gene
GitHub stars: 246
Token cost: ~2.2k tokens
SKILL.md length: 710 words
Files: 3 (incl. scripts)
Skills in repo: 86
Repo updated: Aug 21, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

ToolUniverse workflow — Gwas Trait To Gene. An agent skill from lamm-mit/scienceclaw.

Works in 4 steps: Gene Mapping Uncertainty → Population Bias → Sample Size Dependence → …
Research & Science work in your project
SKILL.md covers Overview, Use Cases, Workflow and Key Concepts, plus 10 more sections
Runs Python scripts from its folder

What it does

Gwas Trait To Gene is an agent skill from lamm-mit/scienceclaw. ToolUniverse workflow — Gwas Trait To Gene

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/run.py`).

It sits in Research & Science. The licence is Apache-2.0.

When your agent uses it

Research & Science work in your project

Example prompts

“/gwas-trait-to-gene”

Requirements

Python 3

Workflow steps

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

Gene Mapping Uncertainty
Population Bias
Sample Size Dependence
Validation Bug

What it can do on your machine

Read from SKILL.md and the folder at commit ab9aba1. 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 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- ebi.ac.uk
- genetics.opentargets.org
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

Gwas Trait To Gene loads about 2.2k tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 710 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~15
When it runs · the whole SKILL.md, loaded when a task matches: ~2.2k

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 lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 710 words, ~2,220 tokens.

Download SKILL.mdSave it as .claude/skills/gwas-trait-to-gene/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: gwas-trait-to-gene
description: ToolUniverse workflow — Gwas Trait To Gene
source: https://github.com/mims-harvard/ToolUniverse/tree/main/skills/tooluniverse-gwas-trait-to-gene

name: tooluniverse-gwas-trait-to-gene description: Discover genes associated with diseases and traits using GWAS data from the GWAS Catalog (500,000+ associations) and Open Targets Genetics (L2G predictions). Identifies genetic risk factors, prioritizes causal genes via locus-to-gene scoring, and assesses druggability. Use when asked to find genes associated with a disease or trait, discover genetic risk factors, translate GWAS signals to gene targets, or answer questions like "What genes are associated with type 2 diabetes?"

GWAS Trait-to-Gene Discovery

Discover genes associated with diseases and traits using genome-wide association studies (GWAS)

Overview

This skill enables systematic discovery of genes linked to diseases/traits by analyzing GWAS data from two major resources:

GWAS Catalog (EBI/NHGRI): Curated catalog of published GWAS with >500,000 associations
Open Targets Genetics: Fine-mapped GWAS signals with locus-to-gene (L2G) predictions

Use Cases

Clinical Research

"What genes are associated with type 2 diabetes?"
"Find genetic risk factors for coronary artery disease"
"Which genes contribute to Alzheimer's disease susceptibility?"

Drug Target Discovery

Identify genes with strong genetic evidence for disease causation
Prioritize targets based on L2G scores and replication across studies
Find genes with genome-wide significant associations (p < 5e-8)

Functional Genomics

Map disease-associated variants to candidate genes
Analyze genetic architecture of complex traits
Understand polygenic disease mechanisms

Workflow

1. Trait Search → Search GWAS Catalog by disease/trait name
       ↓
2. SNP Aggregation → Collect genome-wide significant SNPs (p < 5e-8)
       ↓
3. Gene Mapping → Extract mapped genes from associations
       ↓
4. Evidence Ranking → Score by p-value, replication, fine-mapping
       ↓
5. Annotation (Optional) → Add L2G predictions from Open Targets

Key Concepts

Genome-wide Significance

Standard threshold: p < 5×10⁻⁸
Accounts for multiple testing burden across ~1M common variants
Higher confidence: p < 5×10⁻¹⁰ or replicated across studies

Gene Mapping Methods

Positional: Nearest gene to lead SNP
Fine-mapping: Statistical refinement to credible variants
Locus-to-Gene (L2G): Integrative score combining multiple evidence types

Evidence Confidence Levels

High: L2G score > 0.5 OR multiple studies with p < 5e-10
Medium: 2+ studies with p < 5e-8
Low: Single study or marginal significance

Required ToolUniverse Tools

GWAS Catalog (11 tools)

gwas_get_associations_for_trait - Get all associations for a trait (sorted by p-value)
gwas_search_snps - Search SNPs by gene mapping
gwas_get_snp_by_id - Get SNP details (MAF, consequence, location)
gwas_get_study_by_id - Get study metadata
gwas_search_associations - Search associations with filters
gwas_search_studies - Search studies by trait/cohort
gwas_get_associations_for_snp - Get all associations for a SNP
gwas_get_variants_for_trait - Get variants for a trait
gwas_get_studies_for_trait - Get studies for a trait
gwas_get_snps_for_gene - Get SNPs mapped to a gene
gwas_get_associations_for_study - Get associations from a study

Open Targets Genetics (6 tools)

OpenTargets_search_gwas_studies_by_disease - Search studies by disease ontology
OpenTargets_get_study_credible_sets - Get fine-mapped loci for a study
OpenTargets_get_variant_credible_sets - Get credible sets for a variant
OpenTargets_get_variant_info - Get variant annotation (frequencies, consequences)
OpenTargets_get_gwas_study - Get study metadata
OpenTargets_get_credible_set_detail - Get detailed credible set information

Parameters

Required

trait - Disease/trait name (e.g., "type 2 diabetes", "coronary artery disease")

Optional

p_value_threshold - Significance threshold (default: 5e-8)
min_evidence_count - Minimum number of studies (default: 1)
max_results - Maximum genes to return (default: 100)
use_fine_mapping - Include L2G predictions (default: true)
disease_ontology_id - Disease ontology ID for Open Targets (e.g., "MONDO_0005148")

Show full SKILL.md (270 more words)Show less

Output Schema

python

{
  "genes": [
    {
      "symbol": str,              # Gene symbol (e.g., "TCF7L2")
      "min_p_value": float,       # Most significant p-value
      "evidence_count": int,      # Number of independent studies
      "snps": [str],              # Associated SNP rs IDs
      "studies": [str],           # GWAS study accessions
      "l2g_score": float | null,  # Locus-to-gene score (0-1)
      "credible_sets": int,       # Number of credible sets
      "confidence_level": str     # "High", "Medium", or "Low"
    }
  ],
  "summary": {
    "trait": str,
    "total_associations": int,
    "significant_genes": int,
    "data_sources": ["GWAS Catalog", "Open Targets"]
  }
}

Example Results

Type 2 Diabetes

TCF7L2:  p=1.2e-98, 15 studies, L2G=0.82 → High confidence
KCNJ11:  p=3.4e-67, 12 studies, L2G=0.76 → High confidence
PPARG:   p=2.1e-45, 8 studies,  L2G=0.71 → High confidence
FTO:     p=5.6e-42, 10 studies, L2G=0.68 → High confidence
IRS1:    p=8.9e-38, 6 studies,  L2G=0.54 → High confidence

Alzheimer's Disease

APOE:    p=1.0e-450, 25 studies, L2G=0.95 → High confidence
BIN1:    p=2.3e-89,  18 studies, L2G=0.88 → High confidence
CLU:     p=4.5e-67,  16 studies, L2G=0.82 → High confidence
ABCA7:   p=6.7e-54,  14 studies, L2G=0.79 → High confidence
CR1:     p=8.9e-52,  13 studies, L2G=0.75 → High confidence

Best Practices

1. Use Disease Ontology IDs for Precision

# Instead of:
discover_gwas_genes("diabetes")  # Ambiguous

# Use:
discover_gwas_genes(
    "type 2 diabetes",
    disease_ontology_id="MONDO_0005148"  # Specific
)

2. Filter by Evidence Strength

# For drug targets, require strong evidence:
discover_gwas_genes(
    "coronary artery disease",
    p_value_threshold=5e-10,    # Stricter than GWAS threshold
    min_evidence_count=3,       # Multiple independent studies
    use_fine_mapping=True       # Include L2G predictions
)

3. Interpret Results Carefully

Association ≠ Causation: GWAS identifies correlated variants, not necessarily causal genes
Linkage Disequilibrium: Lead SNP may tag the true causal variant in a nearby gene
Fine-mapping: L2G scores provide better causal gene evidence than positional mapping
Functional Evidence: Validate with orthogonal data (eQTLs, knockout models, etc.)

Limitations

Gene Mapping Uncertainty
- Positional mapping assigns SNPs to nearest gene (may be incorrect)
- Fine-mapping available for only a subset of studies
- Intergenic variants difficult to map
Population Bias
- Most GWAS in European populations
- Effect sizes may differ across ancestries
- Rare variants often under-represented
Sample Size Dependence
- Larger studies detect more associations
- Older small studies may have false negatives
- p-values alone don't indicate effect size
Validation Bug
- Some ToolUniverse tools have oneOf validation issues
- Use validate=False parameter if needed
- This is automatically handled in the Python implementation

Variant-to-Disease Association: Look up specific SNPs (e.g., rs7903146 → T2D)
Gene-to-Disease Links: Find diseases associated with known genes
Drug Target Prioritization: Rank targets by genetic evidence
Population Genetics Analysis: Compare allele frequencies across populations

Data Sources

GWAS Catalog

Curator: EBI and NHGRI
URL: https://www.ebi.ac.uk/gwas/
Coverage: 100,000+ publications, 500,000+ associations
Update Frequency: Weekly

Open Targets Genetics

Curator: Open Targets consortium
URL: https://genetics.opentargets.org/
Coverage: Fine-mapped GWAS, L2G predictions, QTL colocalization
Update Frequency: Quarterly

Citation

If you use this skill in research, please cite:

Buniello A, et al. (2019) The NHGRI-EBI GWAS Catalog of published genome-wide
association studies. Nucleic Acids Research, 47(D1):D1005-D1012.

Mountjoy E, et al. (2021) An open approach to systematically prioritize causal
variants and genes at all published human GWAS trait-associated loci.
Nature Genetics, 53:1527-1533.

Support

For issues with:

Skill functionality: Open issue at tooluniverse/skills
GWAS data: Contact GWAS Catalog or Open Targets support
Tool errors: Check ToolUniverse tool status

Files

SKILL.md and 2 other files (scripts) in skills/gwas-trait-to-gene of lamm-mit/scienceclaw.

SKILL.md
scripts/__pycache__/run.cpython-313.pyc
scripts/run.py

Open the folder on GitHubat commit ab9aba1

Compare with similar skills

Gwas Trait To Gene 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.

Gwas Trait To Gene compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Gwas Trait To Gene this skilllamm-mit/scienceclaw	246	—	~2.2k	Automated safety check: Pass	Apache-2.0	1 mo ago
Hypothesis Generationspacering-net/codeg	3.9k	14 repos	~3.6k	Automated safety check: Notes	MIT	today
GitHub Deep Researchbytedance/deer-flow	84k	4 repos	~1.3k	Automated safety check: Pass	MIT	today
Nature Paper CardYuan1z0825/nature-skills	47k	2 repos	~2.1k	Automated safety check: Pass	Apache-2.0	today
Content Research Writerweapp-tailwindcss/weapp-tailwindcss	1.9k	25 repos	~3.5k	Automated safety check: Pass	MIT	today
Last30daysmvanhorn/last30days-skill	64k	—	~7.9k	Automated safety check: Notes	MIT	yesterday

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Questions about Gwas Trait To Gene

What does Gwas Trait To Gene do?

ToolUniverse workflow — Gwas Trait To Gene. An agent skill from lamm-mit/scienceclaw. Gwas Trait To Gene is an agent skill from lamm-mit/scienceclaw.

When should I use Gwas Trait To Gene?

Gwas Trait To Gene fits situations like: research & Science work in your project.

How do I install Gwas Trait To Gene in Claude Code?

Run `npx skills add lamm-mit/scienceclaw --skill gwas-trait-to-gene -a claude-code`. Or copy the skill folder (skills/gwas-trait-to-gene in lamm-mit/scienceclaw) into .claude/skills/gwas-trait-to-gene in your project. Claude Code loads it when a task matches its description.

How do I install Gwas Trait To Gene in Codex?

Run `npx skills add lamm-mit/scienceclaw --skill gwas-trait-to-gene -a codex`. Or copy the skill folder (skills/gwas-trait-to-gene in lamm-mit/scienceclaw) into .agents/skills/gwas-trait-to-gene in your project. Codex loads it when a task matches its description.

Can I use Gwas Trait To Gene 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 lamm-mit/scienceclaw --skill gwas-trait-to-gene -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gwas-trait-to-gene, .gemini/skills/gwas-trait-to-gene, .github/skills/gwas-trait-to-gene and .opencode/skills/gwas-trait-to-gene in your project.

What does Gwas Trait To Gene need to run?

Going by SKILL.md and its folder, Gwas Trait To Gene needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Gwas Trait To Gene access the network?

SKILL.md names 2 domains. As links in the text: ebi.ac.uk and genetics.opentargets.org. This is read from the text; nothing was executed.

Is Gwas Trait To Gene 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 Gwas Trait To Gene use?

Gwas Trait To Gene is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Gwas Trait To Gene use?

About 2.2k tokens (SKILL.md is roughly 8.9k 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 Gwas Trait To Gene?

Skills that share tags, products or a category with Gwas Trait To Gene: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gwas Trait To Gene?

lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 246 GitHub stars. The repository holds 86 skills in this directory. The repository was last updated on August 21, 2026.

Source: lamm-mit/scienceclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Gwas Trait To Gene

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

GWAS Trait-to-Gene Discovery

Overview

Use Cases

Workflow

Key Concepts

Required ToolUniverse Tools

GWAS Catalog (11 tools)

Open Targets Genetics (6 tools)

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