syntenet can be used to infer synteny networks from whole-genome protein sequences and analyze them.
$ npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-syntenet -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-syntenet --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/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/genomics/syntenet .claude/skills/bioconductor-syntenet && 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 "bioconductor-syntenet" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/genomics/syntenet into .claude/skills/bioconductor-syntenet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-syntenet", 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/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/genomics/syntenetType 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 bioMate-AI/biomate-bioconductor-kb --skill bioconductor-syntenet -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-syntenet --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/genomics/syntenet .agents/skills/bioconductor-syntenet && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bioconductor-syntenet" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/genomics/syntenet into .agents/skills/bioconductor-syntenet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-syntenet", 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 bioMate-AI/biomate-bioconductor-kb --skill bioconductor-syntenet -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-syntenet --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/genomics/syntenet .cursor/skills/bioconductor-syntenet && 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 "bioconductor-syntenet" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/genomics/syntenet into .cursor/skills/bioconductor-syntenet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-syntenet", 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/bioMate-AI/biomate-bioconductor-kb.git --path skills/genomics/syntenet--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 bioMate-AI/biomate-bioconductor-kb --skill bioconductor-syntenet -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-syntenet --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/genomics/syntenet .gemini/skills/bioconductor-syntenet && 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 "bioconductor-syntenet" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/genomics/syntenet into .gemini/skills/bioconductor-syntenet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-syntenet", 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 bioMate-AI/biomate-bioconductor-kb bioconductor-syntenetInstalls 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 bioMate-AI/biomate-bioconductor-kb --skill bioconductor-syntenet -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/genomics/syntenet .github/skills/bioconductor-syntenet && 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 "bioconductor-syntenet" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/genomics/syntenet into .github/skills/bioconductor-syntenet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-syntenet", 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 bioMate-AI/biomate-bioconductor-kb --skill bioconductor-syntenet -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-syntenet --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/genomics/syntenet .opencode/skills/bioconductor-syntenet && 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 "bioconductor-syntenet" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/genomics/syntenet into .opencode/skills/bioconductor-syntenet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-syntenet", 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.
bioconductor-syntenetsyntenet can be used to infer synteny networks from whole-genome protein sequences and analyze them.
Bioconductor Syntenet is an agent skill from bioMate-AI/biomate-bioconductor-kb. syntenet can be used to infer synteny networks from whole-genome protein sequences and analyze them. Anchor pairs are detected with the MCScanX algorithm, which was ported to this package with the Rcpp framework for R and C++ integration. Anchor pairs from synteny analyses are treated as an undirected unweighted graph (i.e., a synteny network), and users can perform: i. network clustering; ii. phylogenomic profiling (by identifying which species contain which clusters) and; iii. microsynteny-bas
Its SKILL.md is about 1.5k 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 Bioinformatics. It works with C++. The repository describes itself as: BioMate-KB Bioconductor Skills — 200 packages (top 100 by downloads + 100 rising stars) as vignette-grounded Claude/agent skills, with per-package workflow recipes.
Read from SKILL.md and the folder at commit c9bd4d8. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are r).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
bioconductor.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Bioconductor Syntenet loads about 1.5k tokens when it runs. Until then it costs about 131 tokens; SKILL.md has 581 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 581 words (~1,539 tokens).
“Infer a global synteny network from multiple proteomes, cluster it, perform phylogenomic profiling, and reconstruct a microsynteny-based phylogeny.”
Just SKILL.md in skills/genomics/syntenet of bioMate-AI/biomate-bioconductor-kb.
Open the folder on GitHubat commit c9bd4d8
Bioconductor Syntenet 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 |
|---|---|---|---|---|---|---|
| Bioconductor Syntenet this skillbioMate-AI/biomate-bioconductor-kb | 804 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Bio Ecological Genomics Species DelimitationGPTomics/bioSkills | 1.2k | 1 repos | ~6.6k | 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 |
GPTomics/bioSkills
Delimits putative species boundaries from molecular data within the de Queiroz 2007 unified-lineage framework using ASAP (Puillandre 2021 successor to ABGD), mPTP C++ (Kapli 2017 successor to bPTP…
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.
K-Dense-AI/scientific-agent-skills
Estimates reaction fluxes inside cells from steady-state carbon-13 labeling data with a bundled mfapy-based solver, and reports which fluxes the data pin down.
google-deepmind/science-skills
A skill your agent uses when needing clinical significance, pathogenicity classifications (e.g., Pathogenic, Benign, VUS), clinical evidence rationales, or finding "hard positive" benchmark controls…
aiming-lab/AutoResearchClaw
Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.
google-deepmind/science-skills
A skill your agent uses when you want to look up, map, and search for short genetic variants (SNPs, indels) in NCBI's dbSNP database.
bioMate-AI/biomate-bioconductor-kb
This package provides a client for the Bioconductor AnnotationHub web resource.
bioMate-AI/biomate-bioconductor-kb
ASURAT is a software for single-cell data analysis. An agent skill from bioMate-AI/biomate-bioconductor-kb.
bioMate-AI/biomate-bioconductor-kb
We propose an Asymmetric Within-Sample Transformation (AWST) to regularize RNA-seq read counts and reduce the effect of noise on the classification of samples.
bioMate-AI/biomate-bioconductor-kb
The Bandle package enables the analysis and visualisation of differential localisation experiments using mass-spectrometry data.
bioMate-AI/biomate-bioconductor-kb
Implements a variety of methods for batch correction of single-cell (RNA sequencing) data.
bioMate-AI/biomate-bioconductor-kb
BEER implements a Bayesian model for analyzing phage-immunoprecipitation sequencing (PhIP-seq) data.
Works with
Categories
syntenet can be used to infer synteny networks from whole-genome protein sequences and analyze them. Bioconductor Syntenet is an agent skill from bioMate-AI/biomate-bioconductor-kb. syntenet can be used to infer synteny networks from whole-genome protein sequences and analyze them.
Bioconductor Syntenet fits situations like: tasks that involve Bioinformatics.
Run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-syntenet -a claude-code`. Or copy the skill folder (skills/genomics/syntenet in bioMate-AI/biomate-bioconductor-kb) into .claude/skills/bioconductor-syntenet in your project. Claude Code loads it when a task matches its description.
Run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-syntenet -a codex`. Or copy the skill folder (skills/genomics/syntenet in bioMate-AI/biomate-bioconductor-kb) into .agents/skills/bioconductor-syntenet in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-syntenet -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bioconductor-syntenet, .gemini/skills/bioconductor-syntenet, .github/skills/bioconductor-syntenet and .opencode/skills/bioconductor-syntenet in your project.
SKILL.md names no scripts, command-line tools or credentials: Bioconductor Syntenet is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: bioconductor.org. This is read from the text; nothing was executed.
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.
Bioconductor Syntenet has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.5k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Bioconductor Syntenet: Bio Ecological Genomics Species Delimitation (GPTomics/bioSkills, 1.2k stars), Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars) and Clinvar Database (google-deepmind/science-skills, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
bioMate-AI (a GitHub organization) maintains it in bioMate-AI/biomate-bioconductor-kb, which has 804 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on June 20, 2026.
Source: bioMate-AI/biomate-bioconductor-kb on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
