Scanpy Single-Cell Analysis
davila7/claude-code-templates
Walks through single-cell RNA-seq analysis with Scanpy: loading .h5ad and 10X data, QC, normalization, PCA and UMAP, Leiden clustering, marker genes and cell type annotation.
Omics and single-cell workflow guide for AnnData, Scanpy-style dataset profiling, PyDESeq2-oriented count checks, pysam alignment inspection, and pyOpenMS mass-spectrometry summaries.
$ npx skills add DrugClaw/DrugClaw --skill omics-tools -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DrugClaw/DrugClaw omics-tools --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/DrugClaw/DrugClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/science/omics-tools .claude/skills/omics-tools && 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 "omics-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/omics-tools into .claude/skills/omics-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omics-tools", 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/DrugClaw/DrugClaw/tree/main/skills/science/omics-toolsType 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 DrugClaw/DrugClaw --skill omics-tools -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DrugClaw/DrugClaw omics-tools --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/science/omics-tools .agents/skills/omics-tools && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "omics-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/omics-tools into .agents/skills/omics-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omics-tools", 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 DrugClaw/DrugClaw --skill omics-tools -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DrugClaw/DrugClaw omics-tools --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/science/omics-tools .cursor/skills/omics-tools && 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 "omics-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/omics-tools into .cursor/skills/omics-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omics-tools", 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/DrugClaw/DrugClaw.git --path skills/science/omics-tools--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 DrugClaw/DrugClaw --skill omics-tools -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DrugClaw/DrugClaw omics-tools --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/science/omics-tools .gemini/skills/omics-tools && 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 "omics-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/omics-tools into .gemini/skills/omics-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omics-tools", 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 DrugClaw/DrugClaw omics-toolsInstalls 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 DrugClaw/DrugClaw --skill omics-tools -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/science/omics-tools .github/skills/omics-tools && 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 "omics-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/omics-tools into .github/skills/omics-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omics-tools", 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 DrugClaw/DrugClaw --skill omics-tools -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DrugClaw/DrugClaw omics-tools --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/science/omics-tools .opencode/skills/omics-tools && 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 "omics-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/omics-tools into .opencode/skills/omics-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omics-tools", 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.
omics-toolsOmics and single-cell workflow guide for AnnData, Scanpy-style dataset profiling, PyDESeq2-oriented count checks, pysam alignment inspection, and pyOpenMS mass-spectrometry summaries.
Omics Tools is an agent skill from DrugClaw/DrugClaw. Omics and single-cell workflow guide for AnnData, Scanpy-style dataset profiling, PyDESeq2-oriented count checks, pysam alignment inspection, and pyOpenMS mass-spectrometry summaries. Use when the user asks to inspect h5ad files, summarize BAM regions, profile omics count tables, or inventory mzML experiments before deeper modeling.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `templates/mzml_summary.py`, `templates/pysam_region_profile.py` and `templates/single_cell_profile.py`).
It sits in Research & Science, covering Bioinformatics. It works with AnnData, pysam and Scanpy. The repository describes itself as: 💊 AI Research Assistant for Accelerated Drug Discovery. 🦞. The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 960a6e0. 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.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Omics Tools loads about 1.1k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 367 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.
The full file from DrugClaw/DrugClaw at commit 960a6e0, republished under its Apache-2.0 licence (© DrugClaw). 367 words, ~1,074 tokens.
.claude/skills/omics-tools/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Use this skill when the user asks to inspect or triage omics datasets before deeper modeling.
Typical triggers:
h5ad or annotated single-cell matriceswhich python3 || true
python3 - <<'PY'
mods = ["pandas", "numpy", "anndata", "pysam"]
extra = ["scanpy", "pydeseq2", "pyopenms", "skbio"]
for name in mods + extra:
try:
__import__(name)
print(f"{name}: ok")
except Exception as exc:
print(f"{name}: missing ({exc})")
PYDo not claim single-cell, alignment, or mass-spec analysis ran if the required module is absent.
templates/single_cell_profile.pytemplates/pysam_region_profile.pytemplates/mzml_summary.pypython3 templates/single_cell_profile.py \
--input data/pbmc.h5ad \
--cell-type-column cell_type \
--group-column batch \
--group-column donor \
--output omics/pbmc_profile.csv \
--summary omics/pbmc_profile.jsonUse this first for:
python3 templates/pysam_region_profile.py \
--bam alignments/sample.bam \
--region chr7:55019017-55211628 \
--region chr12:25205246-25250928 \
--output omics/sample_region_profile.csv \
--summary omics/sample_region_profile.jsonUse this for:
python3 templates/mzml_summary.py \
--input proteomics/run01.mzML \
--output omics/run01_mzml_profile.csv \
--summary omics/run01_mzml_profile.jsonUse this for:
This skill is for data profiling and workflow triage. It does not replace full differential-expression analysis, trajectory inference, peptide identification, or validated clinical interpretation.
Good answers should mention:
For general sequence analysis or command-line bioinformatics, activate bio-tools.
For remote biology APIs such as GEO, Ensembl, UniProt, PDB, or Reactome, activate bio-db-tools.
For transcription-factor network inference from processed expression matrices, activate grn-tools.
For statistical modeling or survival analysis on omics-derived tables, activate stat-modeling-tools or survival-analysis-tools.
For static or interactive omics figures, activate scientific-visualization-tools.
For chemistry, ADMET, QSAR, or structure-aware affinity, activate chem-tools.
© DrugClaw, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files in skills/science/omics-tools of DrugClaw/DrugClaw.
Open the folder on GitHubat commit 960a6e0
Omics Tools 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 |
|---|---|---|---|---|---|---|
| Omics Tools this skillDrugClaw/DrugClaw | 125 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Scanpy Single-Cell Analysisdavila7/claude-code-templates | 32k | 15 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Anndatadavila7/claude-code-templates | 32k | 11 repos | ~2.5k | Automated safety check: Pass | MIT | |
| ScanpyK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~5.1k | Automated safety check: Pass | BSD-3-Clause | |
| Cellxgene CensusK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.4k | Automated safety check: Notes | MIT | |
| AnndataK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.9k | Automated safety check: Notes | BSD-3-Clause |
davila7/claude-code-templates
Walks through single-cell RNA-seq analysis with Scanpy: loading .h5ad and 10X data, QC, normalization, PCA and UMAP, Leiden clustering, marker genes and cell type annotation.
davila7/claude-code-templates
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling…
K-Dense-AI/scientific-agent-skills
Performs Scanpy single-cell RNA-seq QC, normalization, HVG selection, PCA/UMAP/t-SNE, clustering, exploratory marker ranking, pseudobulk preparation, visualization, and Seurat or…
K-Dense-AI/scientific-agent-skills
Queries the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data.
K-Dense-AI/scientific-agent-skills
Handles annotated matrices in single-cell analysis, .h5ad and Zarr files, and integration with the scverse ecosystem.
jaechang-hits/SciAgent-Skills
Annotated matrices for single-cell genomics. An agent skill from jaechang-hits/SciAgent-Skills.
DrugClaw/DrugClaw
Query public biology databases and APIs including UniProt, RCSB PDB, AlphaFold DB, ClinVar, dbSNP, gnomAD, Ensembl, GEO, InterPro, KEGG, OpenTargets, Reactome, and STRING.
DrugClaw/DrugClaw
Gene regulatory network workflow guide for transcriptomics and single-cell expression matrices using Arboreto, GRNBoost2, and GENIE3.
DrugClaw/DrugClaw
Drug-discovery knowledge-graph workflow guide for assembling drug-target-disease-pathway relationship graphs from OpenTargets GraphQL, ChEMBL REST, STRING PPI, and Reactome pathway APIs, then…
DrugClaw/DrugClaw
Research-literature workflow guide for evidence-matrix assembly, citation-table normalization, structured review synthesis, and research-gap mapping.
DrugClaw/DrugClaw
Medical data workflow guide for DICOM metadata inspection and basic de-identification, physiological signal analysis with NeuroKit2, and cohort-table profiling for clinical research datasets.
DrugClaw/DrugClaw
Drug-patent landscape workflow guide for searching US patents via the PatentsView API, classifying pharmaceutical claim types (NCE, formulation, method-of-use, polymorph, combination, biologic…
Categories
Omics and single-cell workflow guide for AnnData, Scanpy-style dataset profiling, PyDESeq2-oriented count checks, pysam alignment inspection, and pyOpenMS mass-spectrometry summaries. Omics Tools is an agent skill from DrugClaw/DrugClaw. Omics and single-cell workflow guide for AnnData, Scanpy-style dataset profiling, PyDESeq2-oriented count checks, pysam alignment inspection, and pyOpenMS mass-spectrometry summaries.
Omics Tools fits situations like: the user asks to inspect h5ad files; summarize BAM regions; profile omics count tables; inventory mzML experiments before deeper modeling.
Run `npx skills add DrugClaw/DrugClaw --skill omics-tools -a claude-code`. Or copy the skill folder (skills/science/omics-tools in DrugClaw/DrugClaw) into .claude/skills/omics-tools in your project. Claude Code loads it when a task matches its description.
Run `npx skills add DrugClaw/DrugClaw --skill omics-tools -a codex`. Or copy the skill folder (skills/science/omics-tools in DrugClaw/DrugClaw) into .agents/skills/omics-tools 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 DrugClaw/DrugClaw --skill omics-tools -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/omics-tools, .gemini/skills/omics-tools, .github/skills/omics-tools and .opencode/skills/omics-tools in your project.
Going by SKILL.md and its folder, Omics Tools needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
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.
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.
Omics Tools 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.
About 1.1k tokens (SKILL.md is roughly 4.3k 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 Omics Tools: Scanpy Single-Cell Analysis (davila7/claude-code-templates, 32k stars), Anndata (davila7/claude-code-templates, 32k stars), Scanpy (K-Dense-AI/scientific-agent-skills, 48k stars) and Cellxgene Census (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
DrugClaw (a GitHub organization) maintains it in DrugClaw/DrugClaw, which has 125 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on March 23, 2026.
Source: DrugClaw/DrugClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.