Category:Science & Research · Sub-category: biology-medicine · Last updated:
Designs and analyzes in vivo CRISPR screens in animal tumor models, organoids, and immune-cell adoptive transfers. Covers bottleneck math (250x cells/sgRNA requires ~25M cells implanted; impossible for most syngeneic models, forcing focused libraries), focused library design (Manguso 2017 Nature 547:413 immune screen; Chen 2015 tumor screens), CRISPR-StAR intrinsic-control screening (Uijttewaal 2025 Nat Biotechnol 43:1848), clonal-dynamics-limited detection, tumor-explant DNA recovery, syngeneic vs xenograft vs PDX considerations, and the relationship to downstream MAGeCK / drugZ analysis. Use when designing in vivo CRISPR screens for tumor / immune / metastasis biology, choosing focused vs genome-wide for animal models, addressing bottleneck-induced clonal collapse, picking the syngeneic / xenograft / PDX model, integrating in vivo with in vitro results, or applying CRISPR-StAR for animal experiments.
About this skill (catalog notes)
Bio Crispr Screens In Vivo Screens includes at least one code block. At roughly 1,742 words the SKILL.md is on the longer end of the catalog distribution.
How Bio Crispr Screens In Vivo Screens fits the catalog
Bio Crispr Screens In Vivo Screens sits in the Science & Research category under the biology-medicine sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.
These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.
What this skill does
Bio Crispr Screens In Vivo Screens is a community-contributed Claude Code skill in the biology-medicine sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/bio-crispr-screens-in-vivo-screens/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use when designing in vivo CRISPR screens for tumor / immune / metastasis biology, choosing focused vs genome-wide for animal models, addressing bottleneck-induced clonal collapse, picking the syngeneic / xenograft / PDX model, integrating in vivo with in vitro results, or applying CRISPR-StAR for animal experiments.
Who uses this skill
The Bio Crispr Screens In Vivo Screens Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 93,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
Or just download SKILL.md directly and drop it into ~/.claude/skills/bio-crispr-screens-in-vivo-screens/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/bio-crispr-screens-in-vivo-screens/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\bio-crispr-screens-in-vivo-screens\SKILL.md on Windows. See the full install guide for step-by-step instructions.
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Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
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Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
How do I install the Bio Crispr Screens In Vivo Screens Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/bio-crispr-screens-in-vivo-screens/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Bio Crispr Screens In Vivo Screens skill do?
Designs and analyzes in vivo CRISPR screens in animal tumor models, organoids, and immune-cell adoptive transfers. Covers bottleneck math (250x cells/sgRNA requires ~25M cells implanted; impossible for most syngeneic models, forcing focused libraries), focused library design (Manguso 2017 Nature 547:413 immune screen; Chen 2015 tumor screens), CRISPR-StAR intrinsic-control screening (Uijttewaal 2025 Nat Biotechnol 43:1848), clonal-dynamics-limited detection, tumor-explant DNA recovery, syngeneic vs xenograft vs PDX considerations, and the relationship to downstream MAGeCK / drugZ analysis. Use when designing in vivo CRISPR screens for tumor / immune / metastasis biology, choosing focused vs genome-wide for animal models, addressing bottleneck-induced clonal collapse, picking the syngeneic / xenograft / PDX model, integrating in vivo with in vitro results, or applying CRISPR-StAR for animal experiments.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Bio Crispr Screens In Vivo Screens skill?
Use Bio Crispr Screens In Vivo Screens when your Claude Code task falls under the Science & Research category — specifically in the biology medicine area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Bio Crispr Screens In Vivo Screens" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Bio Crispr Screens In Vivo Screens skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Bio Crispr Screens In Vivo Screens is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.
If you reference this skill in a blog post, paper, or documentation, you can cite it as:
APA
bg-szy. (2026). Bio Crispr Screens In Vivo Screens [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/bio-crispr-screens-in-vivo-screens/
BibTeX
@misc{bio-crispr-screens-in-vivo-screens-2026,
author = {bg-szy},
title = {Bio Crispr Screens In Vivo Screens [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/bio-crispr-screens-in-vivo-screens/}
}
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