Agent skill · Design & Presentation

bio-genome-engineering-grna-design

Design guide RNAs for CRISPR-Cas9/Cas12a experiments using CRISPRscan and local scoring algorithms. Score guides for on-target activity using Rule Set 2 and Azimuth models. Use when designing sgRNAs for gene knockout, activation, or repression experiments.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-genome-engineering-grna-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: 7 KB
Bundled scripts: yes
Path: skills/bio-genome-engineering-grna-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+ 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. # Guide RNA Design **"Design guide RNAs for my CRISPR knockout experiment"** → Scan a target gene sequence for PAM sites, extract candidate spacer sequences, and score them for on-target activity using Rule Set 2 or CRISPRscan algorithms. - Python: custom PAM scanning with `Bio.Seq`, CRISPRscan scoring models ## Find PAM Sites ```python from Bio.Seq import Seq import re def find_pam_sites(sequence, pam='NGG', guide_length=20): '''Find all PAM sites and extract guide sequences PAM patterns: - NGG: SpCas9 (most common) - TTTN: Cas12a/Cpf1 (5' PAM) - NNGRRT: SaCas9 (smaller, for AAV delivery) ''' sequence = sequence.upper() guides = [] # NGG PAM - guide is 20bp upstream of PAM if pam == 'NGG': for match in re.finditer(r'(?=(.GG))', sequence): pos = match.start() if pos >= guide_length: guide = seque

What's inside
Steps it walks through
  1. Version Compatibility
  2. Find PAM Sites
  3. Score On-Target Activity
  4. CRISPRscan Scoring
  5. Design Workflow
  6. Cas12a Guide Design
  7. Related Skills
Ships with 2 files
  • examples/grna_design.py
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-genome-engineering-grna-design skill do?

Design guide RNAs for CRISPR-Cas9/Cas12a experiments using CRISPRscan and local scoring algorithms. Score guides for on-target activity using Rule Set 2 and Azimuth models. Use when designing sgRNAs for gene knockout, activation, or repression experiments.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-genome-engineering-grna-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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