Agent skill · Design & Presentation

bio-crispr-screens-library-design

CRISPR library design for genetic screens. Covers sgRNA selection, library composition, control design, and oligo ordering. Use when designing custom sgRNA libraries for knockout, activation, or interference screens.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-crispr-screens-library-design --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 14 KB
Bundled scripts: yes
Path: skills/bio-crispr-screens-library-design/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: BioPython 1.83+, MAGeCK 0.5+, numpy 1.26+, pandas 2.2+ 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. # Library Design **"Design a custom CRISPR library for my screen"** → Select optimal sgRNAs for knockout, CRISPRi/a, or base editing libraries with on-target scoring, off-target filtering, and control guide design. - Python: CRISPOR-based scoring with `BioPython` for sequence handling ## sgRNA Selection Criteria **Goal:** Score and rank candidate sgRNAs for a target gene based on design quality metrics. **Approach:** Scan the gene sequence for PAM sites, extract 20-nt protospacer sequences, score each on GC content, poly-T avoidance, 5' G preference, and length, then return the top-ranked candidates. ```python import pandas as pd import numpy as np from Bio import SeqIO from Bio.Seq import Seq def score_sgrna(sequence, pam='NGG'): '''Score sgRNA based on mul

What's inside
Steps it walks through
  1. Version Compatibility
  2. sgRNA Selection Criteria
  3. Library Composition
  4. Control Guide Design
  5. Off-Target Analysis
  6. Oligo Design for Cloning
  7. Pool Design for Synthesis
  8. Library QC
  9. Alternative PAM Systems
  10. Related Skills
Ships with 2 files
  • examples/design_library.py
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-crispr-screens-library-design skill do?

CRISPR library design for genetic screens. Covers sgRNA selection, library composition, control design, and oligo ordering. Use when designing custom sgRNA libraries for knockout, activation, or interference screens.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-crispr-screens-library-design --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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