personal-genomicsAnalyze raw DNA data from consumer genetics services (23andMe, AncestryDNA, etc.). Extract health markers, pharmacogenomics, traits, ancestry composition, ancient DNA comparisons, and generate comprehensive reports. Uses open-source bioinformatics tools locally — no data leaves your machine.
Install via ClawdBot CLI:
clawdbot install wkyleg/personal-genomicsGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/wkyleg/personal-genomics.gitUses known external API (expected, informational)
ncbi.nlm.nih.govAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
A healthcare provider uses the skill to analyze a patient's genetic data before prescribing medications, checking for drug-gene interactions to avoid adverse effects. This helps tailor treatments based on pharmacogenomics markers, improving patient safety and compliance with CPIC guidelines.
A direct-to-consumer genetic testing company integrates the skill to offer detailed ancestry composition and hereditary cancer risk reports. Users receive personalized insights on lineage and health risks, enhancing engagement and upselling opportunities for premium health analyses.
A professional sports team employs the skill to analyze athletes' genetic profiles for traits like power, endurance, and injury risk. This data informs customized training and recovery plans, potentially reducing injuries and improving performance outcomes.
A company incorporates the skill into its wellness program to provide employees with genetic insights on sleep, diet, and stress management. This promotes healthier lifestyles, boosts productivity, and reduces healthcare costs through personalized recommendations.
A genetic counseling clinic uses the skill to generate detailed reports on carrier status and disease risks, aiding in patient consultations. The PDF reports and plain-English explanations help counselors communicate complex findings effectively and efficiently.
Offer the skill as an API for developers and companies to integrate into their apps, charging a monthly fee based on usage volume. This provides recurring revenue and scales with demand from healthcare, fitness, and wellness industries.
License the skill to existing genetic testing companies like 23andMe or AncestryDNA to enhance their analysis capabilities. Charge upfront fees or royalties per report generated, leveraging their large user bases for steady income.
Sell standalone premium reports to individuals who upload their genetic data, focusing on advanced features like medication interactions or athletic profiles. Use a freemium model with basic reports free and detailed analyses paid.
💬 Integration Tip
Focus on integrating the agent_summary.json for AI agents to prioritize critical alerts and high-priority findings, ensuring quick access to actionable genetic insights.
Scored Apr 19, 2026
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