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.
Best practices for single-cell RNA-seq cell type annotation including marker-based, reference-based, and automated classification approaches.
$ npx skills add jaechang-hits/SciAgent-Skills --skill single-cell-annotation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jaechang-hits/SciAgent-Skills single-cell-annotation --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/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/legacy/single-cell-annotation .claude/skills/single-cell-annotation && 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 "single-cell-annotation" agent skill from https://github.com/jaechang-hits/SciAgent-Skills/tree/main/legacy/single-cell-annotation into .claude/skills/single-cell-annotation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "single-cell-annotation", 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/jaechang-hits/SciAgent-Skills/tree/main/legacy/single-cell-annotationType 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 jaechang-hits/SciAgent-Skills --skill single-cell-annotation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jaechang-hits/SciAgent-Skills single-cell-annotation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/legacy/single-cell-annotation .agents/skills/single-cell-annotation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "single-cell-annotation" agent skill from https://github.com/jaechang-hits/SciAgent-Skills/tree/main/legacy/single-cell-annotation into .agents/skills/single-cell-annotation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "single-cell-annotation", 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 jaechang-hits/SciAgent-Skills --skill single-cell-annotation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jaechang-hits/SciAgent-Skills single-cell-annotation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/legacy/single-cell-annotation .cursor/skills/single-cell-annotation && 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 "single-cell-annotation" agent skill from https://github.com/jaechang-hits/SciAgent-Skills/tree/main/legacy/single-cell-annotation into .cursor/skills/single-cell-annotation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "single-cell-annotation", 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/jaechang-hits/SciAgent-Skills.git --path legacy/single-cell-annotation--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 jaechang-hits/SciAgent-Skills --skill single-cell-annotation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jaechang-hits/SciAgent-Skills single-cell-annotation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/legacy/single-cell-annotation .gemini/skills/single-cell-annotation && 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 "single-cell-annotation" agent skill from https://github.com/jaechang-hits/SciAgent-Skills/tree/main/legacy/single-cell-annotation into .gemini/skills/single-cell-annotation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "single-cell-annotation", 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 jaechang-hits/SciAgent-Skills single-cell-annotationInstalls 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 jaechang-hits/SciAgent-Skills --skill single-cell-annotation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/legacy/single-cell-annotation .github/skills/single-cell-annotation && 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 "single-cell-annotation" agent skill from https://github.com/jaechang-hits/SciAgent-Skills/tree/main/legacy/single-cell-annotation into .github/skills/single-cell-annotation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "single-cell-annotation", 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 jaechang-hits/SciAgent-Skills --skill single-cell-annotation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jaechang-hits/SciAgent-Skills single-cell-annotation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/legacy/single-cell-annotation .opencode/skills/single-cell-annotation && 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 "single-cell-annotation" agent skill from https://github.com/jaechang-hits/SciAgent-Skills/tree/main/legacy/single-cell-annotation into .opencode/skills/single-cell-annotation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "single-cell-annotation", 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.
single-cell-annotationBest practices for single-cell RNA-seq cell type annotation including marker-based, reference-based, and automated classification approaches.
Single Cell Annotation is an agent skill from jaechang-hits/SciAgent-Skills. Best practices for single-cell RNA-seq cell type annotation including marker-based, reference-based, and automated classification approaches.
Its SKILL.md is about 3.2k 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. The repository describes itself as: 197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, single-cell, drug discovery, proteomics, and more. Powers OmicsHorizon.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 82c862c. 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 python).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
sc-best-practices.orgscanpy.readthedocs.iocelltypist.orgscarches.readthedocs.iosatijalab.orgpanglaodb.sebio-bigdata.hrbmu.edu.cnhumancellatlas.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.
Single Cell Annotation loads about 3.2k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 1,237 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 1,237 words (~3,161 tokens).
“Short Description: Best practices for annotating cell types in single-cell RNA-seq data using marker-based, automated, and reference-based approaches.”
Just SKILL.md in legacy/single-cell-annotation of jaechang-hits/SciAgent-Skills.
Open the folder on GitHubat commit 82c862c
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in jaechang-hits/SciAgent-Skills, which our catalogue first saw on October 7, 2026.
Single Cell Annotation 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 |
|---|---|---|---|---|---|---|
| Single Cell Annotation this skilljaechang-hits/SciAgent-Skills | 371 | 2 repos | ~3.2k | Automated safety check: Pass | Custom licence | |
| 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 |
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.
aiming-lab/AutoResearchClaw
Runs a metabolic flux analysis from model loading to phenotype prediction and figures by handing work to four sub-agents in sequence.
jaechang-hits/SciAgent-Skills
NEB-IRC activation energy pipeline for reaction barriers using GFN2-xTB and pysisyphus.
jaechang-hits/SciAgent-Skills
3Dmol.js WebGL molecular visualization emitted as self-contained HTML.
jaechang-hits/SciAgent-Skills
Constraint-based (COBRA) analysis of genome-scale metabolic models: FBA, FVA, knockouts, flux sampling, production envelopes, gapfilling, media optimization.
jaechang-hits/SciAgent-Skills
Read, write, and edit ChemDraw CDX/CDXML files with RDKit's rdkit.Chem.rdChemDraw plus direct XML editing, always paired with a rendered PNG.
jaechang-hits/SciAgent-Skills
Programmatic PubMed access via NCBI E-utilities REST API. An agent skill from jaechang-hits/SciAgent-Skills.
jaechang-hits/SciAgent-Skills
Scaffold a new SciAgent-Skills entry. An agent skill from jaechang-hits/SciAgent-Skills.
Categories
Best practices for single-cell RNA-seq cell type annotation including marker-based, reference-based, and automated classification approaches. Single Cell Annotation is an agent skill from jaechang-hits/SciAgent-Skills. Best practices for single-cell RNA-seq cell type annotation including marker-based, reference-based, and automated classification approaches.
Single Cell Annotation fits situations like: tasks that involve Bioinformatics.
Run `npx skills add jaechang-hits/SciAgent-Skills --skill single-cell-annotation -a claude-code`. Or copy the skill folder (legacy/single-cell-annotation in jaechang-hits/SciAgent-Skills) into .claude/skills/single-cell-annotation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jaechang-hits/SciAgent-Skills --skill single-cell-annotation -a codex`. Or copy the skill folder (legacy/single-cell-annotation in jaechang-hits/SciAgent-Skills) into .agents/skills/single-cell-annotation 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 jaechang-hits/SciAgent-Skills --skill single-cell-annotation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/single-cell-annotation, .gemini/skills/single-cell-annotation, .github/skills/single-cell-annotation and .opencode/skills/single-cell-annotation in your project.
SKILL.md names no scripts, command-line tools or credentials: Single Cell Annotation is instructions for the agent only. Our summary lists: Python 3.
SKILL.md names 8 domains. As links in the text: sc-best-practices.org, scanpy.readthedocs.io, celltypist.org, scarches.readthedocs.io, satijalab.org, panglaodb.se, bio-bigdata.hrbmu.edu.cn and humancellatlas.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.
Single Cell Annotation has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 3.2k tokens (SKILL.md is roughly 13k 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 Single Cell Annotation: 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.
jaechang-hits (a GitHub user) maintains it in jaechang-hits/SciAgent-Skills, which has 371 GitHub stars. The repository holds 169 skills in this directory. The repository was last updated on September 29, 2026.
Source: jaechang-hits/SciAgent-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.