Agent skill

Sc Perturb

by TianGzlab in TianGzlab/OmicsClaw

Load when classifying perturbed vs non-perturbed cells in a Perturb-seq / CRISPR-screen scRNA AnnData via the pertpy Mixscape workflow.

Apache-2.0Auto-check passedResearch & Science

Install Sc Perturb

skills CLI
$ npx skills add TianGzlab/OmicsClaw --skill sc-perturb -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install TianGzlab/OmicsClaw sc-perturb --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/TianGzlab/OmicsClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/singlecell/scrna/sc-perturb .claude/skills/sc-perturb && rm -rf skills-src

Use ~/.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/

Facts

Skill name
sc-perturb
GitHub stars
161
Token cost
~1.2k tokens
SKILL.md length
426 words
Files
10 (incl. references)
Skills in repo
88
Repo updated
First seen
Licence
Apache-2.0

At a glance

Load when classifying perturbed vs non-perturbed cells in a Perturb-seq / CRISPR-screen scRNA AnnData via the pertpy Mixscape workflow.

  • Tasks that involve Bioinformatics
  • SKILL.md covers Key CLI, Workflow, Matrix Contract and Inputs & Outputs, plus 3 more sections
  • Runs Python scripts from its folder; calls python

What it does

Sc Perturb is an agent skill from TianGzlab/OmicsClaw. Load when classifying perturbed vs non-perturbed cells in a Perturb-seq / CRISPR-screen scRNA AnnData via the pertpy Mixscape workflow. Skip when guide labels are not yet attached to the expression object (use sc-perturb-prep); in-silico KO predictions on unperturbed data (use sc-in-silico-perturbation).

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `_api.py`, `examples/example_step.py` and `references/methodology.md`).

It sits in Research & Science, covering Bioinformatics. It works with AnnData. The repository describes itself as: Conversational & memory-enabled AI research partner for multi-omics analysis. CLI + Desktop App (installers in Releases). From biological idea to full research paper. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Bioinformatics

Example prompts

  • “/sc-perturb”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 90a3bec. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sc Perturb loads about 1.2k tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 426 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from TianGzlab/OmicsClaw at commit 90a3bec, republished under its Apache-2.0 licence (© TianGzlab). 426 words, ~1,158 tokens.

Download SKILL.mdSave it as .claude/skills/sc-perturb/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
sc-perturb
description
Load when classifying perturbed vs non-perturbed cells in a Perturb-seq / CRISPR-screen scRNA AnnData via the pertpy Mixscape workflow. Skip when guide labels are not yet attached to the expression object (use sc-perturb-prep); in-silico KO predictions on unperturbed data (use sc-in-silico-perturbation).
tags
singlecell, scrna, perturbation, perturb-seq, crispr, mixscape, pertpy

sc-perturb

Classify observed Perturb-seq cells with pertpy Mixscape. Guide labels and a non-targeting control group must already exist; otherwise use sc-perturb-prep. This is not an in-silico knockout predictor.

Key CLI

bash
python skills/singlecell/scrna/sc-perturb/sc_perturb.py --demo --seed 0 --output /tmp/sc_perturb_demo
python skills/singlecell/scrna/sc-perturb/sc_perturb.py --input prepared.h5ad --pert-key perturbation --control NT --split-by replicate --seed 0 --output results/perturb

mixscape (--method mixscape) is the only method. Tune --n-neighbors, --logfc-threshold, --pval-cutoff and --perturbation-type KO|OE explicitly.

Workflow

Upstream: sc-perturb-prep, or an AnnData with verified screen labels. Validate labels, supply/compute PCA, build perturbation signatures, then classify cells. Both pertpy stages receive --seed (API random_state, default 0). Downstream: sc-de or sc-enrichment after reviewing target-level calls.

Matrix Contract

Uses normalized expression. Count-like X is saved in layers['counts'] and log-normalized. Existing X_pca is reused; otherwise PCA is computed before the legacy normalization step. Prefer an upstream PCA on appropriate normalized features for real screens. The API leaves its input unchanged.

Inputs & Outputs

Input: .h5ad with a perturbation column, control label and optional split key. The CLI writes processed.h5ad, report.md, result.json, reproducibility/commands.sh, tables/mixscape_cell_classes.csv, tables/mixscape_class_counts.csv, tables/mixscape_global_class_counts.csv and figures/mixscape_global_classes.png. Plot data and their manifest are in figure_data/; R-enhanced figures are optional.

Gotchas

  • result.json → data.params.split_by records the CLI's resolved split key. A missing CLI split column warns and disables splitting; the API instead raises unless you pass split_by=None.
  • tables/mixscape_global_class_counts.csv must contain biological signal before you interpret a run. Exit 0 alone does not establish an effect; the example asserts KO detection in both known-effect groups.
  • tables/mixscape_cell_classes.csv preserves target-specific and global classes plus mixscape_class_p_ko (or _oe). Posterior probabilities are not experimental validation.
  • For pertpy 1.0.3, split-based signatures use controls within each split rather than nearest-neighbour selection. n_neighbors affects the split_by=None path.

API

<!-- api:begin generated from _api.py; regenerate with run.py api <skill dir> --write -->
Show full SKILL.md (175 more words)Show less
mixscape(adata, *, pert_key='perturbation', control='NT', split_by='replicate', n_neighbors=20, logfc_threshold=0.25, pval_cutoff=0.05, perturbation_type='KO', random_state=0)

Return an AnnData copy with Mixscape classes and posterior probabilities.

Uses normalized expression, preserving count-like X in layers['counts'] before log-normalization. split_by=None selects nearest-neighbour controls. Both pertpy stages receive random_state; a missing control or split column raises ValueError. Requires pertpy (validated with 1.0.3 and sklearn 1.7.2).

run_info(adata, *, keep: bool=True)

Return method, seed and output columns; keep=False removes the run record.

class_counts(adata)

Return class and n_cells columns for target-specific Mixscape labels.

global_class_counts(adata)

Return global_class and n_cells columns for control, KO/OE and NP cells.

global_class_figure(adata)

Return a Figure of global Mixscape cell counts without saving files.

<!-- api:end -->

Dependencies

anndata, matplotlib, numpy, pandas, pertpy, scanpy, scipy, scikit-learn, filelock

The Python 3.11 CPU example is verified with pertpy==1.0.3, scikit-learn==1.7.2, anndata==0.11.4, statsmodels==0.14.6 and filelock==4.0.12. statsmodels 0.15 removed a private import used by this pertpy release. It also needs filelock at import time but omits it from dependency metadata. Its dependencies include JAX; use the separate extended environment. blitzgsea may need pip's isolated source build, which the production wheels-only installer does not perform.

© TianGzlab, 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

Files

SKILL.md and 9 other files (references) in skills/singlecell/scrna/sc-perturb of TianGzlab/OmicsClaw.

  • SKILL.md
  • _api.py
  • examples/example_step.py
  • references/methodology.md
  • references/output_contract.md
  • references/parameters.md
  • references/r_visualization.md
  • sc_perturb.py
  • tests/test_perturb_api.py
  • tests/test_sc_perturb_methods.py

Open the folder on GitHubat commit 90a3bec

Compare with similar skills

Sc Perturb 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.

Sc Perturb compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sc Perturb this skillTianGzlab/OmicsClaw161—~1.2kAutomated safety check: PassApache-2.0
Scanpy Single-Cell Analysisdavila7/claude-code-templates32k15 repos~2.8kAutomated safety check: PassMIT
ScgptJimLiu/science-skills2274 repos~1.3kAutomated safety check: PassApache-2.0
PyDESeq2 Differential Expressiondavila7/claude-code-templates32k11 repos~4kAutomated safety check: PassMIT
Anndatadavila7/claude-code-templates32k11 repos~2.5kAutomated safety check: PassMIT
Single-Cell Initial AnalysisLigphiDonk/Oh-my--paper7381 repos~1.4kAutomated safety check: PassMIT

Similar skills

  • 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.

    32k GitHub starsUsed in 15 repos~2.8k tokens
    Research & ScienceAuto-check passed
  • Scgpt

    JimLiu/science-skills

    Embed and annotate single-cell expression data with scGPT, a foundation model for single-cell biology.

    227 GitHub starsUsed in 4 repos~1.3k tokens
    Research & ScienceAuto-check passed
  • PyDESeq2 Differential Expression

    davila7/claude-code-templates

    Runs differential gene expression analysis on bulk RNA-seq counts with PyDESeq2: design formulas, Wald tests, FDR correction and volcano or MA plots.

    32k GitHub starsUsed in 11 repos~4k tokens
    Research & ScienceAuto-check passed
  • Anndata

    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…

    32k GitHub starsUsed in 11 repos~2.5k tokens
    Research & ScienceAuto-check passed
  • Single-Cell Initial Analysis

    LigphiDonk/Oh-my--paper

    Runs a seven-step quality-control and exploration pipeline on scRNA-seq, CyTOF or flow cytometry data and writes a plain-language report of what it found.

    738 GitHub starsUsed in 1 repo~1.4k tokens
    Research & ScienceAuto-check passed
  • Single Cell Data Prep Qc

    harrisongzhang/TheVirtualBiotech

    Single-cell RNA-seq data preparation and quality control pipeline.

    121 GitHub stars~2.9k tokensUpdated 22 days ago
    Research & ScienceAuto-check passed

More from TianGzlab/OmicsClaw

All 88 skills in this repo
  • Bulkrna Cosinor Rhythm

    TianGzlab/OmicsClaw

    Load when the user needs Deterministic fixed-period 24-hour single-component cosinor OLS rhythm analysis for a bulk RNA time-course CSV.

    161 GitHub stars~840 tokensUpdated 2 days ago
    Auto-check passed
  • Bulkrna Batch Correction

    TianGzlab/OmicsClaw

    Load when correcting batch effects in bulk expression using R sva ComBat or the legacy Python parametric approximation.

    161 GitHub stars~1.2k tokensUpdated 2 days ago
    Auto-check passed
  • Bulkrna Coexpression

    TianGzlab/OmicsClaw

    Load when discovering bulk gene co-expression modules and hub genes with R WGCNA.

    161 GitHub stars~1.3k tokensUpdated 2 days ago
    Auto-check passed
  • Bulkrna De

    TianGzlab/OmicsClaw

    Load when comparing gene expression between two conditions in bulk RNA-seq count data.

    161 GitHub stars~867 tokensUpdated 2 days ago
    Auto-check passed
  • Bulkrna Deconvolution

    TianGzlab/OmicsClaw

    Load when estimating cell-type proportions in bulk RNA-seq samples from a single-cell or signature-matrix reference.

    161 GitHub stars~757 tokensUpdated 2 days ago
    Auto-check passed
  • Bulkrna Enrichment

    TianGzlab/OmicsClaw

    Load when running pathway / GO term enrichment on a bulk RNA-seq DE result list.

    161 GitHub stars~860 tokensUpdated 2 days ago
    Auto-check passed

Works with

Questions about Sc Perturb

What does Sc Perturb do?

Load when classifying perturbed vs non-perturbed cells in a Perturb-seq / CRISPR-screen scRNA AnnData via the pertpy Mixscape workflow. Sc Perturb is an agent skill from TianGzlab/OmicsClaw. Load when classifying perturbed vs non-perturbed cells in a Perturb-seq / CRISPR-screen scRNA AnnData via the pertpy Mixscape workflow.

When should I use Sc Perturb?

Sc Perturb fits situations like: tasks that involve Bioinformatics.

How do I install Sc Perturb in Claude Code?

Run `npx skills add TianGzlab/OmicsClaw --skill sc-perturb -a claude-code`. Or copy the skill folder (skills/singlecell/scrna/sc-perturb in TianGzlab/OmicsClaw) into .claude/skills/sc-perturb in your project. Claude Code loads it when a task matches its description.

How do I install Sc Perturb in Codex?

Run `npx skills add TianGzlab/OmicsClaw --skill sc-perturb -a codex`. Or copy the skill folder (skills/singlecell/scrna/sc-perturb in TianGzlab/OmicsClaw) into .agents/skills/sc-perturb in your project. Codex loads it when a task matches its description.

Can I use Sc Perturb in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add TianGzlab/OmicsClaw --skill sc-perturb -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sc-perturb, .gemini/skills/sc-perturb, .github/skills/sc-perturb and .opencode/skills/sc-perturb in your project.

What does Sc Perturb need to run?

Going by SKILL.md and its folder, Sc Perturb needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Sc Perturb access the network?

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.

Is Sc Perturb safe to install?

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.

What licence does Sc Perturb use?

Sc Perturb 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.

How many tokens does Sc Perturb use?

About 1.2k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 582 tokens, read only when the agent opens those files.

What are the alternatives to Sc Perturb?

Skills that share tags, products or a category with Sc Perturb: Scanpy Single-Cell Analysis (davila7/claude-code-templates, 32k stars), Scgpt (JimLiu/science-skills, 227 stars), PyDESeq2 Differential Expression (davila7/claude-code-templates, 32k stars) and Anndata (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.

Who maintains Sc Perturb?

TianGzlab (a GitHub organization) maintains it in TianGzlab/OmicsClaw, which has 161 GitHub stars. The repository holds 88 skills in this directory. The repository was last updated on October 7, 2026.

Source: TianGzlab/OmicsClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.