Agent skill

bio-tcr-bcr-analysis-immcantation-analysis

Analyze BCR repertoires for somatic hypermutation, clonal lineages, and B cell phylogenetics using the Immcantation framework. Use when studying B cell affinity maturation, germinal center dynamics, or antibody evolution.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-code
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-tcr-bcr-analysis-immcantation-analysis --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: none
Path: skills/bio-tcr-bcr-analysis-immcantation-analysis/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: MiXCR 4.6+, ggplot2 3.5+ Before using code patterns, verify installed versions match. If versions differ: - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Immcantation Analysis **"Analyze B cell repertoire evolution and clonal lineages"** → Study somatic hypermutation, build B cell phylogenies, and track affinity maturation using the Immcantation framework for BCR repertoire analysis. - R: `alakazam::plotMutability()`, `dowser::buildPhylipLineage()`, `scoper::spectralClones()` Requires Immcantation suite: alakazam 1.3+, shazam 1.2+, scoper 1.3+, dowser 2.0+, tigger 1.1+. ## Load and Format Data **Goal:** Import AIRR-formatted repertoire data into the Immcantation framework for downstream analysis. **Approach:** Read Change-O/AIRR tab-delimited files into R data frames with required V(D)J annotation columns. ```r library(alakazam) library(shazam) library(dplyr) # Load AIRR-formatted data (from MiXCR, IMGT/HighV-QUEST, etc.) db <- readChangeoDb(

What's inside
Steps it walks through
  1. Version Compatibility
  2. Load and Format Data
  3. Clonal Clustering
  4. Somatic Hypermutation Analysis
  5. Selection Analysis
  6. Build Clonal Lineage Trees
  7. Germline Inference
  8. Visualization
  9. Related Skills
Ships with 2 files
  • examples/bcr_analysis.R
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-tcr-bcr-analysis-immcantation-analysis skill do?

Analyze BCR repertoires for somatic hypermutation, clonal lineages, and B cell phylogenetics using the Immcantation framework. Use when studying B cell affinity maturation, germinal center dynamics, or antibody evolution.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-tcr-bcr-analysis-immcantation-analysis --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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