Bio Long Read Splicing
GPTomics/bioSkills
Analyzes alternative splicing from PacBio Iso-Seq (HiFi, Kinnex/MAS-Iso-seq) and Oxford Nanopore (direct cDNA, direct RNA, R10.4.1+) long-read RNA-seq with full-isoform resolution.
SGC is a semi-supervised pipeline for gene clustering in gene co-expression networks.
$ npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-sgcp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-sgcp --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/transcriptomics/sgcp .claude/skills/bioconductor-sgcp && 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-sgcp" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/transcriptomics/sgcp into .claude/skills/bioconductor-sgcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-sgcp", 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/transcriptomics/sgcpType 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-sgcp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-sgcp --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/transcriptomics/sgcp .agents/skills/bioconductor-sgcp && 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-sgcp" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/transcriptomics/sgcp into .agents/skills/bioconductor-sgcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-sgcp", 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-sgcp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-sgcp --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/transcriptomics/sgcp .cursor/skills/bioconductor-sgcp && 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-sgcp" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/transcriptomics/sgcp into .cursor/skills/bioconductor-sgcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-sgcp", 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/transcriptomics/sgcp--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-sgcp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-sgcp --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/transcriptomics/sgcp .gemini/skills/bioconductor-sgcp && 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-sgcp" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/transcriptomics/sgcp into .gemini/skills/bioconductor-sgcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-sgcp", 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-sgcpInstalls 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-sgcp -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/transcriptomics/sgcp .github/skills/bioconductor-sgcp && 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-sgcp" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/transcriptomics/sgcp into .github/skills/bioconductor-sgcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-sgcp", 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-sgcp -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-sgcp --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/transcriptomics/sgcp .opencode/skills/bioconductor-sgcp && 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-sgcp" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/transcriptomics/sgcp into .opencode/skills/bioconductor-sgcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-sgcp", 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-sgcpSGC is a semi-supervised pipeline for gene clustering in gene co-expression networks.
Bioconductor Sgcp is an agent skill from bioMate-AI/biomate-bioconductor-kb. SGC is a semi-supervised pipeline for gene clustering in gene co-expression networks. SGC consists of multiple novel steps that enable the computation of highly enriched modules in an unsupervised manner. But unlike all existing frameworks, it further incorporates a novel step that leverages Gene Ontology information in a semi-supervised clustering method that further improves the quality of the computed modules.
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 and Creative writing and fiction. 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 Sgcp loads about 1.5k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 548 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 548 words (~1,529 tokens).
“Construct gene co-expression networks, perform clustering, and apply semi-supervised classification using Gene Ontology information.”
Just SKILL.md in skills/transcriptomics/sgcp of bioMate-AI/biomate-bioconductor-kb.
Open the folder on GitHubat commit c9bd4d8
Bioconductor Sgcp 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 Sgcp this skillbioMate-AI/biomate-bioconductor-kb | 804 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Bio Long Read SplicingGPTomics/bioSkills | 1.2k | 2 repos | ~6k | Automated safety check: Pass | MIT | |
| Bio Splicing QcGPTomics/bioSkills | 1.2k | 2 repos | ~6.2k | Automated safety check: Pass | MIT | |
| Bio Workflows Smrna PipelineGPTomics/bioSkills | 1.2k | 1 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Popv Cell Annotationjaechang-hits/SciAgent-Skills | 374 | 2 repos | ~6.9k | Automated safety check: Pass | BSD-3-Clause | |
| Bio Long Read Sequencing Isoseq AnalysisGPTomics/bioSkills | 1.2k | 1 repos | ~3.4k | Automated safety check: Pass | MIT |
GPTomics/bioSkills
Analyzes alternative splicing from PacBio Iso-Seq (HiFi, Kinnex/MAS-Iso-seq) and Oxford Nanopore (direct cDNA, direct RNA, R10.4.1+) long-read RNA-seq with full-isoform resolution.
GPTomics/bioSkills
Assesses RNA-seq data quality specifically for alternative splicing analysis.
GPTomics/bioSkills
Orchestrates the end-to-end small RNA-seq pipeline from FASTQ to differential miRNAs and expression-filtered targets, chaining kit-aware cutadapt trimming (adapter on every read, UMI/4N handling)…
jaechang-hits/SciAgent-Skills
Consensus cell type annotation: runs 10+ algorithms (KNN-Harmony/BBKNN/Scanorama/scVI, CellTypist, ONCLASS, Random Forest, SCANVI, SVM, XGBoost) on a labeled reference and transfers labels via…
GPTomics/bioSkills
Discovers, classifies, filters, and quantifies full-length transcript isoforms from PacBio Iso-Seq/Kinnex (HiFi) and Oxford Nanopore (cDNA/direct-RNA) long reads, using the isoseq+pigeon pipeline…
mikubaka88/CCFA-Skills
Develop and optimize rough CCF research ideas into problems, insights, mechanisms, and evidence plans.
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.
Categories
SGC is a semi-supervised pipeline for gene clustering in gene co-expression networks. Bioconductor Sgcp is an agent skill from bioMate-AI/biomate-bioconductor-kb. SGC is a semi-supervised pipeline for gene clustering in gene co-expression networks.
Bioconductor Sgcp fits situations like: tasks that involve Bioinformatics; tasks that involve Creative writing and fiction.
Run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-sgcp -a claude-code`. Or copy the skill folder (skills/transcriptomics/sgcp in bioMate-AI/biomate-bioconductor-kb) into .claude/skills/bioconductor-sgcp in your project. Claude Code loads it when a task matches its description.
Run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-sgcp -a codex`. Or copy the skill folder (skills/transcriptomics/sgcp in bioMate-AI/biomate-bioconductor-kb) into .agents/skills/bioconductor-sgcp 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-sgcp -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-sgcp, .gemini/skills/bioconductor-sgcp, .github/skills/bioconductor-sgcp and .opencode/skills/bioconductor-sgcp in your project.
SKILL.md names no scripts, command-line tools or credentials: Bioconductor Sgcp 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 Sgcp 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 6.1k 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 Sgcp: Bio Long Read Splicing (GPTomics/bioSkills, 1.2k stars), Bio Splicing Qc (GPTomics/bioSkills, 1.2k stars), Bio Workflows Smrna Pipeline (GPTomics/bioSkills, 1.2k stars) and Popv Cell Annotation (jaechang-hits/SciAgent-Skills, 374 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.