Crispr guide design
Skill FridrichMethod/awesome-skills/skills/crispr-guide-design
Guide foundryFrom its SKILL.md
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SKILL.md
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CRISPR Design Agent
Automate sgRNA selection, scoring, off-target evaluation, and oligo generation for CRISPR experiments using the documented workflow.
When to Use
- Designing CRISPR knockout/knock-in experiments that need validated guides.
- Locating all PAM-compatible target sites in a gene or locus.
- Filtering guides by efficiency/off-target metrics before cloning.
Core Capabilities
- Target discovery: Scan sequences for PAM motifs (e.g., NGG).
- Efficiency scoring: Evaluate GC content, homopolymers, Doench/DeepCRISPR/CFD scores.
- Filtering & ranking: Remove risky guides (SNP overlap, off-target hits) and output the best candidates.
Workflow
- Resolve gene symbol + organism to canonical transcript coordinates and target region.
- Enumerate PAM-compatible sites; extract spacers for the chosen Cas variant.
- Score guides (efficiency + specificity) and compute GC metrics.
- Run off-target search (≤3 mismatches) to flag problematic loci.
- Filter/rank guides, generate cloning oligos/primers, and emit JSON/CSV outputs with coordinates.
Example Usage
python3 Skills/Genomics/CRISPR_Design_Agent/crispr_designer.py \
--sequence "ATGGAGGAGCCGCAGTCAGATCCTAGCGTCGAGCCCCCTCTGAGTCAGGAAACATTTTCAGACCTATGGAAACTGTGAGTGGATCCATTGGAAGGGC" \
--output guides.json
Guardrails
- Always state genome build and Cas variant assumptions.
- Avoid guides overlapping common SNPs when
avoid_variantsis true. - Flag high off-target density near coding regions for manual review.
References
- See
README.mdandprompt.mdfor detailed schema plus supporting literature.
What ships with it: 4 files
11.2 KB alongside SKILL.md, 1 of them executable
- crispr_designer.pyruns3.6 KB
- prompt.md2.8 KB
- README.md2.7 KB
- TUTORIAL_CRISPR_DESIGN.md2.0 KB