Explorar skills

Detect signatures of natural selection using Fst, Tajima's D, iHS, XP-EHH, and other selection statistics. Calculate population differentiation, test for departures from neutrality, and identify selective sweeps with scikit-allel and vcftools. Use when computing selection signatures like Fst or Tajima's D.

Orval APIクライアント生成スキル（OpenAPI仕様書から型安全なAPIクライアントを自動生成）

Zoho CRM integration via Apideck's CRM unified API — same methods work across every connector in CRM, switch by changing `serviceId`. Use when the user wants to read, write, or search contacts, companies, leads, opportunities, activities, and pipelines in Zoho CRM. Routes through Apideck with serviceId "zoho-crm".

Full Android audit orchestration. Builds audit-context.json, dispatches specialist agents against that shared evidence, then applies canonical gate and cap logic. Triggers on: "audit", "full android check", "analyze my android project", "project health check".

Search the web using Perplexity AI. Use when needing to search, look up, research, find current information, best practices, compare technologies, or answer factual questions about tools and libraries.

Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.

Build maximum likelihood phylogenetic trees using IQ-TREE2 and RAxML-NG with expert model selection, branch support assessment, and topology testing. Use when inferring publication-quality ML trees, selecting substitution models, interpreting bootstrap and concordance factor support, or running partitioned phylogenomic analyses.

Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.

Extract comprehensive JSON design specifications from visual sources including Figma exports, UI mockups, screenshots, or live website captures. Produces W3C DTCG-compliant output with component trees, suitable for code generation, design documentation, and developer handoff.

AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.

Pre-commit hooks framework for multi-language code quality automation. USE WHEN setting up pre-commit OR configuring git hooks OR adding linting OR code formatting OR security scanning OR Terraform validation OR Kubernetes manifests OR Helm charts OR Python linting OR JavaScript formatting. Manages .pre-commit-config.yaml, hook installation, and CI integration.