Agent skill

bio-single-cell-splicing

Analyzes alternative splicing at single-cell resolution using BRIE2 for probabilistic PSI estimation or leafcutter2 for cluster-based analysis with NMD detection. Identifies cell-type-specific splicing patterns. Use when analyzing isoform usage in scRNA-seq or finding splicing differences between cell populations.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-single-cell-splicing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 6 KB
Bundled scripts: yes
Path: skills/bio-single-cell-splicing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: anndata 0.10+, numpy 1.26+, pandas 2.2+, scanpy 1.10+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Single-Cell Splicing Analysis Analyze alternative splicing at single-cell resolution. ## Tool Selection | Tool | Approach | Strengths | |------|----------|-----------| | BRIE2 | Probabilistic PSI | Handles sparsity, regulatory features | | leafcutter2 | Intron clustering | NMD detection, novel junctions | Note: Avoid Whippet.jl (Julia 1.6.7 only, incompatible with Julia 1.9+) ## BRIE2 Analysis **Goal:** Estimate per-cell PSI values for splicing events with uncertainty quantification. **Approach:** Prepare splicing events from annotation, count reads per cell barcode, then fit a Bayesian variational inference model for probabilistic PSI estimation. **"Analyze splicing in single-cell data"** -> Estimate per-cell inclusion levels for splicing events with uncer

What's inside
Steps it walks through
  1. Version Compatibility
  2. Tool Selection
  3. BRIE2 Analysis
  4. Cell-Type Specific Splicing
  5. leafcutter2 Analysis
  6. Pseudobulk Approach
  7. Interpretation Considerations
  8. Quality Thresholds
  9. Related Skills
Ships with 2 files
  • examples/sc_splicing_brie2.py
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-single-cell-splicing skill do?

Analyzes alternative splicing at single-cell resolution using BRIE2 for probabilistic PSI estimation or leafcutter2 for cluster-based analysis with NMD detection. Identifies cell-type-specific splicing patterns. Use when analyzing isoform usage in scRNA-seq or finding splicing differences between cell populations.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-single-cell-splicing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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