Agent skill

Diff Visualizer

by ClawBio in ClawBio/ClawBio

Rich downstream visualisation and reporting for bulk RNA-seq differential expression and scRNA marker/contrast outputs.

MITAuto-check passedResearch & Science

Install Diff Visualizer

skills CLI
$ npx skills add ClawBio/ClawBio --skill diff-visualizer -a claude-code

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

GitHub CLI
$ gh skill install ClawBio/ClawBio diff-visualizer --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/ClawBio/ClawBio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/diff-visualizer .claude/skills/diff-visualizer && 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
diff-visualizer
GitHub stars
1.2k
Used in
1 other repo
Token cost
~1.6k tokens
SKILL.md length
416 words
Files
8
Skills in repo
104
Repo updated
First seen
Licence
MIT

At a glance

Rich downstream visualisation and reporting for bulk RNA-seq differential expression and scRNA marker/contrast outputs.

  • Works in 4 steps: Auto-detect upstream outputs from… → Bulk RNA visualisation with volcano, MA,… → scRNA visualisation with dataset-level… → …
  • Tasks that involve Bioinformatics
  • SKILL.md covers Why This Exists, Core Capabilities, Input Formats and Workflow, plus 6 more sections
  • Runs Python scripts from its folder; calls python

What it does

Diff Visualizer is an agent skill from ClawBio/ClawBio. Rich downstream visualisation and reporting for bulk RNA-seq differential expression and scRNA marker/contrast outputs.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files (for example `diff_visualizer.py` and `tests/test_diff_visualizer.py`).

It sits in Research & Science, covering Bioinformatics. The repository describes itself as: 🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free. The licence is MIT.

When your agent uses it

  • Tasks that involve Bioinformatics

Example prompts

  • “/diff-visualizer”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Auto-detect upstream outputs from rnaseq-de, scrna-orchestrator, or direct DE/marker tables.
  2. Bulk RNA visualisation with volcano, MA, top-gene bars, and optional counts+metadata heatmaps.
  3. scRNA visualisation with dataset-level contrast volcanoes, within-cluster comparison panels, marker ranking bars, and optional…
  4. Reporting with report.md, self-contained report.html, result.json, and reproducibility files.

What it can do on your machine

Read from SKILL.md and the folder at commit 5e045e3. 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

    Links to these hosts (documentation or services it may open):

    • scanpy.readthedocs.io
    • matplotlib.org

    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

Diff Visualizer loads about 1.6k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 416 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 ClawBio/ClawBio at commit 5e045e3, republished under its MIT licence (© ClawBio). 416 words, ~1,575 tokens.

Download SKILL.mdSave it as .claude/skills/diff-visualizer/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
diff-visualizer
description
Rich downstream visualisation and reporting for bulk RNA-seq differential expression and scRNA marker/contrast outputs.
license
MIT
metadata.version
0.1.0
metadata.author
Yonghao Zhao
metadata.tags
differential-expression, visualisation, rnaseq, scrna, volcano, heatmap

📈 Differential Visualizer

You are Differential Visualizer, a specialised ClawBio agent for turning completed bulk RNA-seq and single-cell differential outputs into richer figure and report packages.

Why This Exists

  • Without it: Users get one or two useful figures from upstream analysis, then hand-build publication-style plots and summary tables.
  • With it: A completed DE/marker table can be repackaged into volcanoes, heatmaps, bar charts, HTML/Markdown reports, and reproducibility artifacts in one step.
  • Why ClawBio: The skill stays local-first, composes directly with existing rnaseq-de and scrna-orchestrator outputs, and preserves machine-readable outputs.

Core Capabilities

  1. Auto-detect upstream outputs from rnaseq-de, scrna-orchestrator, or direct DE/marker tables.
  2. Bulk RNA visualisation with volcano, MA, top-gene bars, and optional counts+metadata heatmaps.
  3. scRNA visualisation with dataset-level contrast volcanoes, within-cluster comparison panels, marker ranking bars, and optional AnnData-based enhancement where the grouping axis is unambiguous.
  4. Reporting with report.md, self-contained report.html, result.json, and reproducibility files.

Input Formats

FormatExtensionRequired FieldsExample
rnaseq-de output directorydirectorytables/de_results.csvoutput/rnaseq_20260315/
scrna-orchestrator output directorydirectorytables/contrastive_markers_full.csv, tables/within_cluster_contrastive_markers_full.csv, or tables/markers_top.csvoutput/scrna_20260315/
Bulk DE table.csv, .tsvgene, log2FoldChange, plus padj or pvaluede_results.csv
scRNA contrast table.csv, .tsvnames, scorescontrastive_markers_full.csv
scRNA within-cluster contrast table.csv, .tsvcluster, comparison_id, group1, group2, names, scoreswithin_cluster_contrastive_markers_full.csv
scRNA markers table.csv, .tsvcluster, names, scoresmarkers_top.csv
Optional bulk counts.csv, .tsvgene rows, sample columns, first column gene idcounts.csv
Optional bulk metadata.csv, .tsvsample_idmetadata.csv
Optional AnnData.h5adexpression matrix plus gene names in var_namessubset.h5ad
Show full SKILL.md (174 more words)Show less

Workflow

When the user asks to visualise differential expression or marker results:

  1. Detect: Identify whether the input is bulk or scRNA, and whether it is an output directory or a direct result table.
  2. Validate: Confirm required columns and reject ambiguous/unsupported inputs with clear guidance.
  3. Render:
    • Bulk: volcano, top-gene bars, optional MA plot, optional heatmap.
    • scRNA: dataset-level contrast volcanoes, within-cluster marker panels, marker ranking bars, and optional AnnData UMAP/grouped panels when the inputs support a single grouping axis.
  4. Report: Write report.md, report.html, result.json, tables, figures, and reproducibility files.

CLI Reference

bash
# Bulk table
python skills/diff-visualizer/diff_visualizer.py \
  --input de_results.csv --output diffviz_report

# Bulk directory with extra heatmap inputs
python skills/diff-visualizer/diff_visualizer.py \
  --input output/rnaseq_run --counts counts.csv --metadata metadata.csv \
  --output diffviz_report

# scRNA contrast table with AnnData enhancement
python skills/diff-visualizer/diff_visualizer.py \
  --mode scrna --input contrastive_markers_full.csv --adata cells.h5ad \
  --output diffviz_report

# Demo
python skills/diff-visualizer/diff_visualizer.py --demo --output /tmp/diffviz_demo
python skills/diff-visualizer/diff_visualizer.py --demo --mode scrna --output /tmp/diffviz_scrna_demo

# Via ClawBio runner
python clawbio.py run diffviz --input de_results.csv --output diffviz_report
python clawbio.py run diffviz --demo

Demo

bash
python clawbio.py run diffviz --demo
python clawbio.py run diffviz --demo --mode scrna

Expected outputs:

  • report.md
  • report.html
  • result.json
  • figure bundle in figures/
  • summary tables in tables/
  • reproducibility files in reproducibility/

Output Structure

text
output_directory/
├── report.md
├── report.html
├── result.json
├── figures/
│   ├── volcano.png
│   ├── top_genes_bar.png
│   ├── ma_plot.png
│   ├── top_genes_heatmap.png
│   ├── contrast_volcano.png
│   ├── top_markers_bar.png
│   ├── marker_rank_bars.png
│   ├── marker_dotplot.png
│   ├── marker_heatmap.png
│   └── umap_feature_panel.png
├── tables/
│   ├── top_genes.csv
│   ├── significant_genes.csv
│   ├── top_markers.csv
│   └── top_markers_by_cluster.csv
└── reproducibility/
    ├── commands.sh
    ├── environment.yml
    └── checksums.sha256

Safety

  • Local-first only.
  • Reports include the ClawBio medical/research disclaimer.
  • No DE statistics are recomputed beyond lightweight visual ranking/summary logic.
  • Enhanced scRNA plots degrade gracefully if anndata/scanpy context is unavailable.

Integration with Bio Orchestrator

  • Routes from phrases like “visualize DE results”, “marker heatmap”, “marker dotplot”, and “top genes heatmap”.
  • Works downstream of rnaseq-de and scrna-orchestrator.

Citations

© ClawBio, MIT. 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 7 other files in skills/diff-visualizer of ClawBio/ClawBio.

  • SKILL.md
  • diff_visualizer.py
  • examples/demo_bulk_counts.csv
  • examples/demo_bulk_de_results.csv
  • examples/demo_bulk_metadata.csv
  • examples/demo_scrna_contrast.csv
  • examples/demo_scrna_markers.csv
  • tests/test_diff_visualizer.py

Open the folder on GitHubat commit 5e045e3

Used in 1 other repository

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 ClawBio/ClawBio, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Diff Visualizer 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.

Diff Visualizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Diff Visualizer this skillClawBio/ClawBio1.2k1 repos~1.6kAutomated safety check: PassMIT
Dbsnp Databasegoogle-deepmind/science-skills3.2k3 repos~3.4kAutomated safety check: NotesApache-2.0
Metabolic Study Planneraiming-lab/AutoResearchClaw15k—~1.9kAutomated safety check: PassMIT
13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills48k1 repos~3.2kAutomated safety check: PassMIT
Alphagenome Single Variant Analysisgoogle-deepmind/science-skills3.2k2 repos~3kAutomated safety check: NotesApache-2.0
MFA Pipeline Orchestratoraiming-lab/AutoResearchClaw15k—~923Automated safety check: PassMIT

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Questions about Diff Visualizer

What does Diff Visualizer do?

Rich downstream visualisation and reporting for bulk RNA-seq differential expression and scRNA marker/contrast outputs. Diff Visualizer is an agent skill from ClawBio/ClawBio. Rich downstream visualisation and reporting for bulk RNA-seq differential expression and scRNA marker/contrast outputs.

When should I use Diff Visualizer?

Diff Visualizer fits situations like: tasks that involve Bioinformatics.

How do I install Diff Visualizer in Claude Code?

Run `npx skills add ClawBio/ClawBio --skill diff-visualizer -a claude-code`. Or copy the skill folder (skills/diff-visualizer in ClawBio/ClawBio) into .claude/skills/diff-visualizer in your project. Claude Code loads it when a task matches its description.

How do I install Diff Visualizer in Codex?

Run `npx skills add ClawBio/ClawBio --skill diff-visualizer -a codex`. Or copy the skill folder (skills/diff-visualizer in ClawBio/ClawBio) into .agents/skills/diff-visualizer in your project. Codex loads it when a task matches its description.

Can I use Diff Visualizer 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 ClawBio/ClawBio --skill diff-visualizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/diff-visualizer, .gemini/skills/diff-visualizer, .github/skills/diff-visualizer and .opencode/skills/diff-visualizer in your project.

What does Diff Visualizer need to run?

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

Does Diff Visualizer access the network?

SKILL.md names 2 domains. As links in the text: scanpy.readthedocs.io and matplotlib.org. This is read from the text; nothing was executed.

Is Diff Visualizer 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 Diff Visualizer use?

Diff Visualizer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Diff Visualizer use?

About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Diff Visualizer?

Skills that share tags, products or a category with Diff Visualizer: Dbsnp Database (google-deepmind/science-skills, 3.2k stars), Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars) and Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Diff Visualizer?

ClawBio (a GitHub organization) maintains it in ClawBio/ClawBio, which has 1,154 GitHub stars. The repository holds 104 skills in this directory. The repository was last updated on October 7, 2026.

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