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.
Agent skill
by FreedomIntelligence in FreedomIntelligence/OpenClaw-Medical-Skills
Identify spatial domains and tissue regions in spatial transcriptomics data using Squidpy and Scanpy.
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-spatial-transcriptomics-spatial-domains -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-spatial-transcriptomics-spatial-domains --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/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/bio-spatial-transcriptomics-spatial-domains .claude/skills/bio-spatial-transcriptomics-spatial-domains && 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 "bio-spatial-transcriptomics-spatial-domains" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-spatial-transcriptomics-spatial-domains into .claude/skills/bio-spatial-transcriptomics-spatial-domains/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-spatial-transcriptomics-spatial-domains", 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/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-spatial-transcriptomics-spatial-domainsType 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 FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-spatial-transcriptomics-spatial-domains -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-spatial-transcriptomics-spatial-domains --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/bio-spatial-transcriptomics-spatial-domains .agents/skills/bio-spatial-transcriptomics-spatial-domains && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bio-spatial-transcriptomics-spatial-domains" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-spatial-transcriptomics-spatial-domains into .agents/skills/bio-spatial-transcriptomics-spatial-domains/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-spatial-transcriptomics-spatial-domains", 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 FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-spatial-transcriptomics-spatial-domains -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-spatial-transcriptomics-spatial-domains --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/bio-spatial-transcriptomics-spatial-domains .cursor/skills/bio-spatial-transcriptomics-spatial-domains && 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 "bio-spatial-transcriptomics-spatial-domains" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-spatial-transcriptomics-spatial-domains into .cursor/skills/bio-spatial-transcriptomics-spatial-domains/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-spatial-transcriptomics-spatial-domains", 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/FreedomIntelligence/OpenClaw-Medical-Skills.git --path skills/bio-spatial-transcriptomics-spatial-domains--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 FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-spatial-transcriptomics-spatial-domains -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-spatial-transcriptomics-spatial-domains --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/bio-spatial-transcriptomics-spatial-domains .gemini/skills/bio-spatial-transcriptomics-spatial-domains && 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 "bio-spatial-transcriptomics-spatial-domains" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-spatial-transcriptomics-spatial-domains into .gemini/skills/bio-spatial-transcriptomics-spatial-domains/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-spatial-transcriptomics-spatial-domains", 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 FreedomIntelligence/OpenClaw-Medical-Skills bio-spatial-transcriptomics-spatial-domainsInstalls 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 FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-spatial-transcriptomics-spatial-domains -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/bio-spatial-transcriptomics-spatial-domains .github/skills/bio-spatial-transcriptomics-spatial-domains && 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 "bio-spatial-transcriptomics-spatial-domains" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-spatial-transcriptomics-spatial-domains into .github/skills/bio-spatial-transcriptomics-spatial-domains/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-spatial-transcriptomics-spatial-domains", 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 FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-spatial-transcriptomics-spatial-domains -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-spatial-transcriptomics-spatial-domains --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/bio-spatial-transcriptomics-spatial-domains .opencode/skills/bio-spatial-transcriptomics-spatial-domains && 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 "bio-spatial-transcriptomics-spatial-domains" agent skill from https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-spatial-transcriptomics-spatial-domains into .opencode/skills/bio-spatial-transcriptomics-spatial-domains/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-spatial-transcriptomics-spatial-domains", 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.
bio-spatial-transcriptomics-spatial-domainsIdentify spatial domains and tissue regions in spatial transcriptomics data using Squidpy and Scanpy.
Bio Spatial Transcriptomics Spatial Domains is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Identify spatial domains and tissue regions in spatial transcriptomics data using Squidpy and Scanpy. Cluster spots considering both expression and spatial context to define anatomical regions. Use when identifying tissue domains or spatial regions.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `examples/detect_domains.py` and `usage-guide.md`).
It sits in Research & Science, covering Bioinformatics. It works with Scanpy. The repository describes itself as: The largest open-source medical AI skills library for OpenClaw🦞.
Read from SKILL.md and the folder at commit b1f9b6e. 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:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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.
Bio Spatial Transcriptomics Spatial Domains loads about 2.1k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 380 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 380 words (~2,117 tokens).
“Reference examples tested with: matplotlib 3.8+, numpy 1.26+, pandas 2.2+, scanpy 1.10+, scikit-learn 1.4+, scipy 1.12+, squidpy 1.3+”
SKILL.md and 2 other files in skills/bio-spatial-transcriptomics-spatial-domains of FreedomIntelligence/OpenClaw-Medical-Skills.
Open the folder on GitHubat commit b1f9b6e
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 FreedomIntelligence/OpenClaw-Medical-Skills, which our catalogue first saw on October 9, 2026.
Bio Spatial Transcriptomics Spatial Domains 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 |
|---|---|---|---|---|---|---|
| Bio Spatial Transcriptomics Spatial Domains this skillFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~2.1k | Automated safety check: Pass | None | |
| Scanpy Single-Cell Analysisdavila7/claude-code-templates | 32k | 15 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Single Cell Rna AnalysisPKU-YuanGroup/OpenAI4S | 620 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Anndatadavila7/claude-code-templates | 32k | 11 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Cellxgene Censusdavila7/claude-code-templates | 32k | 11 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Bulk RnaseqK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.2k | Automated safety check: Pass | MIT |
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.
PKU-YuanGroup/OpenAI4S
Reproducible Scanpy workflow for human or mouse 10x scRNA-seq and snRNA-seq count matrices: single-sample descriptive QC, clustering and annotation, or comparative donor-aware pseudobulk DE and Milo…
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…
davila7/claude-code-templates
Query CZ CELLxGENE Census (61M+ cells). An agent skill from davila7/claude-code-templates.
K-Dense-AI/scientific-agent-skills
Prepares bulk RNA-seq FASTQ, Salmon, STAR or featureCounts output for gene-level differential expression.
K-Dense-AI/scientific-agent-skills
Performs pathway and gene-set enrichment analysis on gene lists or ranked gene data and interprets the results.
FreedomIntelligence/OpenClaw-Medical-Skills
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations.
FreedomIntelligence/OpenClaw-Medical-Skills
Select and apply numerical differentiation schemes for PDE/ODE discretization.
FreedomIntelligence/OpenClaw-Medical-Skills
FHIR API development guide for building healthcare endpoints.
FreedomIntelligence/OpenClaw-Medical-Skills
Select and configure linear solvers for systems Ax=b in dense and sparse problems.
FreedomIntelligence/OpenClaw-Medical-Skills
Query 14+ biomedical databases for drug repurposing, target discovery, clinical trials, and literature research.
FreedomIntelligence/OpenClaw-Medical-Skills
Plan and evaluate mesh generation for numerical simulations.
Works with
Categories
Identify spatial domains and tissue regions in spatial transcriptomics data using Squidpy and Scanpy. Bio Spatial Transcriptomics Spatial Domains is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Identify spatial domains and tissue regions in spatial transcriptomics data using Squidpy and Scanpy.
Bio Spatial Transcriptomics Spatial Domains fits situations like: identifying tissue domains; spatial regions.
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-spatial-transcriptomics-spatial-domains -a claude-code`. Or copy the skill folder (skills/bio-spatial-transcriptomics-spatial-domains in FreedomIntelligence/OpenClaw-Medical-Skills) into .claude/skills/bio-spatial-transcriptomics-spatial-domains in your project. Claude Code loads it when a task matches its description.
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-spatial-transcriptomics-spatial-domains -a codex`. Or copy the skill folder (skills/bio-spatial-transcriptomics-spatial-domains in FreedomIntelligence/OpenClaw-Medical-Skills) into .agents/skills/bio-spatial-transcriptomics-spatial-domains 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 FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-spatial-transcriptomics-spatial-domains -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bio-spatial-transcriptomics-spatial-domains, .gemini/skills/bio-spatial-transcriptomics-spatial-domains, .github/skills/bio-spatial-transcriptomics-spatial-domains and .opencode/skills/bio-spatial-transcriptomics-spatial-domains in your project.
Going by SKILL.md and its folder, Bio Spatial Transcriptomics Spatial Domains needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. 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.
No licence was found for Bio Spatial Transcriptomics Spatial Domains or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.1k tokens (SKILL.md is roughly 8.5k 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 Bio Spatial Transcriptomics Spatial Domains: Scanpy Single-Cell Analysis (davila7/claude-code-templates, 32k stars), Single Cell Rna Analysis (PKU-YuanGroup/OpenAI4S, 620 stars), Anndata (davila7/claude-code-templates, 32k stars) and Cellxgene Census (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
FreedomIntelligence (a GitHub organization) maintains it in FreedomIntelligence/OpenClaw-Medical-Skills, which has 3,052 GitHub stars. The repository holds 279 skills in this directory. The repository was last updated on July 21, 2026.
Source: FreedomIntelligence/OpenClaw-Medical-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.