Alphagenome Single Variant Analysis
google-deepmind/science-skills
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.
Score genetic compatibility across all male-female pairings in a Genomebook generation
Install Genome Match
$ npx skills add ClawBio/ClawBio --skill genome-match -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ClawBio/ClawBio genome-match --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/ClawBio/ClawBio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/genome-match .claude/skills/genome-match && 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 "genome-match" agent skill from https://github.com/ClawBio/ClawBio/tree/main/skills/genome-match into .claude/skills/genome-match/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "genome-match", 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/ClawBio/ClawBio/tree/main/skills/genome-matchType 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 ClawBio/ClawBio --skill genome-match -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ClawBio/ClawBio genome-match --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/genome-match .agents/skills/genome-match && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "genome-match" agent skill from https://github.com/ClawBio/ClawBio/tree/main/skills/genome-match into .agents/skills/genome-match/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "genome-match", 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 ClawBio/ClawBio --skill genome-match -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ClawBio/ClawBio genome-match --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/genome-match .cursor/skills/genome-match && 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 "genome-match" agent skill from https://github.com/ClawBio/ClawBio/tree/main/skills/genome-match into .cursor/skills/genome-match/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "genome-match", 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/ClawBio/ClawBio.git --path skills/genome-match--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 ClawBio/ClawBio --skill genome-match -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ClawBio/ClawBio genome-match --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/genome-match .gemini/skills/genome-match && 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 "genome-match" agent skill from https://github.com/ClawBio/ClawBio/tree/main/skills/genome-match into .gemini/skills/genome-match/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "genome-match", 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 ClawBio/ClawBio genome-matchInstalls 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 ClawBio/ClawBio --skill genome-match -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/genome-match .github/skills/genome-match && 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 "genome-match" agent skill from https://github.com/ClawBio/ClawBio/tree/main/skills/genome-match into .github/skills/genome-match/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "genome-match", 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 ClawBio/ClawBio --skill genome-match -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ClawBio/ClawBio genome-match --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/genome-match .opencode/skills/genome-match && 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 "genome-match" agent skill from https://github.com/ClawBio/ClawBio/tree/main/skills/genome-match into .opencode/skills/genome-match/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "genome-match", 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
genome-match- GitHub stars
- 1.2k
- Used in
- 1 other repo
- Token cost
- ~653 tokens
- SKILL.md length
- 160 words
- Files
- 2
- Skills in repo
- 104
- Repo updated
- First seen
- Licence
- MIT
At a glance
Score genetic compatibility across all male-female pairings in a Genomebook generation
- Works in 4 steps: Load genomes for a target generation… → Compute pairwise compatibility for every… → Rank all pairings by composite score… → …
- Tasks that involve Bioinformatics
- SKILL.md covers Purpose, How It Works, Input and Output, plus 2 more sections
- Runs Python scripts from its folder; calls python
What it does
Genome Match is an agent skill from ClawBio/ClawBio. Score genetic compatibility across all male-female pairings in a Genomebook generation
Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `genome_match.py`).
It sits in Research & Science, covering Bioinformatics. The repository describes itself as: 🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free. The licence is MIT.
When your agent uses it
- Tasks that involve Bioinformatics
Example prompts
- “/genome-match”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Load genomes for a target generation from GENOMEBOOK/DATA/GENOMES/.
- Compute pairwise compatibility for every M x F combination
- Rank all pairings by composite score (0.0 to 1.0).
- Select non-overlapping mating pairs via greedy selection from the top of
What it can do on your machine
Read from SKILL.md and the folder at commit dece754. 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 script files (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
Genome Match loads about 653 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 160 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 ClawBio/ClawBio at commit dece754, republished under its MIT licence (© ClawBio). 160 words, ~653 tokens.
Download SKILL.mdSave it as
.claude/skills/genome-match/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- genome-match
- description
- Score genetic compatibility across all male-female pairings in a Genomebook generation
- license
- MIT
- metadata.version
- 0.1.0
- metadata.author
- Manuel Corpas
- metadata.tags
- genomebook, compatibility, heterozygosity, disease-risk, mating-selection
💞 GenomeMatch
Purpose
Score genetic compatibility between all male-female pairings in a Genomebook generation. The engine evaluates heterozygosity advantage, disease carrier risk, and trait complementarity to rank optimal mating pairs for the next generation.
How It Works
- Load genomes for a target generation from
GENOMEBOOK/DATA/GENOMES/. - Compute pairwise compatibility for every M x F combination:
- Heterozygosity score (40%): fraction of loci where offspring would be heterozygous (genetic diversity advantage).
- Trait complementarity (40%): reward balanced trait combinations and high average trait values across the pair.
- Disease risk penalty (20%): flag pairs where both parents carry recessive disease alleles (25% affected offspring risk per flagged condition).
- Rank all pairings by composite score (0.0 to 1.0).
- Select non-overlapping mating pairs via greedy selection from the top of the ranked list (each individual mates at most once per generation).
Input
GENOMEBOOK/DATA/GENOMES/*.genome.jsonGENOMEBOOK/DATA/disease_registry.json
Output
- Ranked compatibility table (all M x F pairings)
- Selected mating pairs for the next generation
CLI Usage
# Score all pairings for generation 0
python skills/genome-match/genome_match.py
# Score a specific generation
python skills/genome-match/genome_match.py --generation 1
# Demo mode
python skills/genome-match/genome_match.py --demo
# Limit output to top N pairings
python skills/genome-match/genome_match.py --top 10Output Format
Rank Male x Female Score Het Comp Risk Flags
1 einstein-g0 x curie-g0 0.8234 0.650 0.821 0.000 --
2 darwin-g0 x franklin-g0 0.7891 0.600 0.790 0.000 --
...
SELECTED MATING PAIRS (generation 0 -> 1):
Albert Einstein x Marie Curie (compat: 0.8234)
Charles Darwin x Rosalind Franklin (compat: 0.7891)© ClawBio, 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 1 other file in skills/genome-match of ClawBio/ClawBio.
- SKILL.md
- genome_match.py
Open the folder on GitHubat commit dece754
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 ClawBio/ClawBio, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Genome Match 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 |
|---|---|---|---|---|---|---|
| Genome Match this skillClawBio/ClawBio | 1.2k | 1 repos | ~653 | Automated safety check: Pass | MIT | |
| Alphagenome Single Variant Analysisgoogle-deepmind/science-skills | 3.2k | 2 repos | ~3k | Automated safety check: Notes | Apache-2.0 | |
| 13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Clinvar Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.9k | Automated safety check: Notes | Apache-2.0 | |
| Metabolic Study Planneraiming-lab/AutoResearchClaw | 15k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Dbsnp Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.4k | Automated safety check: Notes | Apache-2.0 |
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Related
Categories
Questions about Genome Match
What does Genome Match do?
Score genetic compatibility across all male-female pairings in a Genomebook generation. Genome Match is an agent skill from ClawBio/ClawBio.
When should I use Genome Match?
Genome Match fits situations like: tasks that involve Bioinformatics.
How do I install Genome Match in Claude Code?
Run `npx skills add ClawBio/ClawBio --skill genome-match -a claude-code`. Or copy the skill folder (skills/genome-match in ClawBio/ClawBio) into .claude/skills/genome-match in your project. Claude Code loads it when a task matches its description.
How do I install Genome Match in Codex?
Run `npx skills add ClawBio/ClawBio --skill genome-match -a codex`. Or copy the skill folder (skills/genome-match in ClawBio/ClawBio) into .agents/skills/genome-match in your project. Codex loads it when a task matches its description.
Can I use Genome Match 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 ClawBio/ClawBio --skill genome-match -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/genome-match, .gemini/skills/genome-match, .github/skills/genome-match and .opencode/skills/genome-match in your project.
What does Genome Match need to run?
Going by SKILL.md and its folder, Genome Match needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Genome Match 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 Genome Match 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 Genome Match use?
Genome Match 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 Genome Match use?
About 653 tokens (SKILL.md is roughly 2.6k 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 Genome Match?
Skills that share tags, products or a category with Genome Match: Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars), Clinvar Database (google-deepmind/science-skills, 3.2k stars) and Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Genome Match?
ClawBio (a GitHub organization) maintains it in ClawBio/ClawBio, which has 1,154 GitHub stars. The repository holds 104 skills in this directory. The repository was last updated on October 8, 2026.
Source: ClawBio/ClawBio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.