Skills directory · page 60

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

Master enterprise-grade Scala development with functional programming, distributed systems, and big data processing. Expert in Apache Pekko, Akka, Spark, ZIO/Cats Effect, and reactive architectures.

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.

Use for compound what-if questions ('what if X and Y both happen?') with major downside across functions. Models cascading scenarios with scenario_modeler.py.

Use for any JSON-LD, schema.org, rich-result or structured-data request, before writing markup. Validates the markup with schema_validator.py against Google's required properties, which catches errors a hand-written block misses.

When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," or "breadcrumb schema." For broader SEO issues, see seo-audit.

Apply the ScholarEval framework to systematically evaluate scholarly and research work. This skill provides structured evaluation methodology based on peer-reviewed research assessment criteria, enabling comprehensive analysis of academic papers, research proposals, literature reviews, and scholarly writing across multiple quality dimensions.

Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving.

Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring. Use when a task needs biomedical literature from PubMed rather than general web search.

生物医学文献、MeSH クエリ、PMID 検索、引用取得、および API を利用した文献モニタリングのための PubMed および NCBI E-utilities の直接検索ワークフロー。

公式記録の検索、PatentSearch クエリ、TSDR チェック、譲渡データ、および再現可能な IP 調査ログのための USPTO 特許・商標データワークフロー。

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs. Use when a task needs official United States patent or trademark records from USPTO systems.

ゲノムデータベースへのクイック検索、配列検索、BLAST スタイルの検索、エンリッチメントチェック、および再現可能なバイオインフォマティクス証拠ログのための gget CLI および Python ワークフロー。

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs. Use when a task needs quick bioinformatics lookup across genomic reference databases with the gget CLI or Python package.

Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and LaTeX Beamer.

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging. Use when the task is to find, screen, synthesize, and cite a body of academic or technical literature.

学術、生物医学、技術、科学的なトピックに対するシステマティックな文献レビューワークフロー。検索計画、ソースのスクリーニング、統合、引用確認、証拠ログを含む。

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback. Use when evaluating academic or scientific work — papers, proposals, methods sections, or evidence quality — against a repeatable rubric.

論文、提案書、文献レビュー、方法論セクション、証拠の質、引用サポート、研究論文フィードバックのための構造化された学術的作業評価。

Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.

Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process: (1) create section outlines with key points using research-lookup, (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.

Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.

This skill should be used when the user asks to "test this website", "run exploratory testing", "check for accessibility issues", "verify the login flow works", "find bugs on this page", or requests automated QA testing. Triggers on web application testing scenarios including smoke tests, accessibility audits, e-commerce flows, and user flow validation using ScoutQA CLI. Use this skill proactively after implementing web application features to verify they work correctly.

Scrape any webpage as clean markdown via Bright Data Web Unlocker API. Bypasses bot detection and CAPTCHA. Requires BRIGHTDATA_API_KEY and BRIGHTDATA_UNLOCKER_ZONE environment variables.

Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.

Analyze product screenshots to extract feature lists and generate development task checklists. Use when: (1) Analyzing competitor product screenshots for feature extraction, (2) Generating PRD/task lists from UI designs, (3) Batch analyzing multiple app screens, (4) Conducting competitive analysis from visual references.

Build scroll-driven animations with GSAP, ScrollTrigger, SplitText and Lenis smooth scroll — reveals, pinned sections, horizontal scroll, parallax, scrubbed timelines, text effects — in vanilla JS, React, Next.js, Vue/Nuxt, or Astro, with correct setup, cleanup and responsive fallbacks. Use whenever the user mentions GSAP, ScrollTrigger, Lenis, smooth scroll, parallax, pin, scrub, "animasi saat scroll", horizontal scroll, or scroll storytelling.

Expert in building immersive scroll-driven experiences - parallax storytelling, scroll animations, interactive narratives, and cinematic web experiences. Like NY Times interactives, Apple product pages, and award-winning web experiences. Makes websites feel like experiences, not just pages. Use when: scroll animation, parallax, scroll storytelling, interactive story, cinematic website.

Use for sprint and team analytics: velocity forecasts, sprint health, retrospectives, burndown or blockers. Forecasts with velocity_analyzer.py (Monte Carlo), scores with sprint_health_scorer.py and tracks retro actions with retrospective_analyzer.py.

This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, batch correction, dimensionality reduction, differential expression, cell type annotation, multimodal integration, and spatial analysis tasks.

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.

Search Google via Bright Data SERP API. Returns structured JSON results with title, link, and description. Requires BRIGHTDATA_API_KEY and BRIGHTDATA_UNLOCKER_ZONE environment variables.

Research-before-coding workflow: search npm/PyPI, MCP servers, skills, and GitHub for existing tools before writing custom code, then adopt, extend, or build. Launches the researcher agent for non-trivial needs. Use when starting a feature, adding a dependency or integration, or about to write a utility that may already exist.

コーディング前の調査ワークフロー。カスタムコードを書く前に既存のツール、ライブラリ、パターンを検索します。researcher エージェントを呼び出します。

Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Systematizes the "search for existing solutions before implementing" approach. Use when starting new features or adding functionality.

Посадить обвязку в папку, где уже лежит `.claude`, — одной командой, которая сама выбирает сценарий (пустая папка, знакомый проект, чужой проект) и делает фазу 1; прозу посадки целиком не читать. Вызывать по «посади», «посади обвязку», «установи обвязку», «/seat».

Guide for configuring and managing GitHub secret scanning, push protection, custom patterns, and secret alert remediation. For pre-commit secret scanning in AI coding agents via the GitHub MCP Server, this skill references the Advanced Security plugin (`advanced-security@copilot-plugins`). Use this skill when enabling secret scanning, setting up push protection, defining custom patterns, triaging alerts, resolving blocked pushes, or when an agent needs to scan code for secrets before committing.

Handles credentials safely through their whole life — where they live, how code gets them, how they rotate, and what to do when one leaks. Use this whenever the user is adding an API key, database password, token, or certificate, mentions a secrets manager or vault, asks how to store credentials, or has committed a secret to git. For finding exposed secrets during a code review, use security-analysis.

Secure secrets management practices for CI/CD pipelines using Vault, AWS Secrets Manager, and other tools.

Use when setting up HashiCorp Vault, AWS Secrets Manager, Azure Key Vault or GCP Secret Manager, rotating secrets or auditing secret access. Generates config with vault_config_generator.py, plans rotation with rotation_planner.py and analyzes audit logs.

Dependabot の security alert（GHSA / CVE 起因の脆弱性アラート）をトリアージして 解決するワークフロー。未解決の alert を一括取得し、direct / transitive を判別して 修正方針（PR マージ / 直接 bump / package manager の override）を決め、トラッキング Issue を作成して修正 PR を出し、判断根拠を ADR に記録する。transitive 依存で Dependabot が PR を起票しないケースを主対象にする。 Trigger when the user says: "security alert", "セキュリティアラート", "Dependabot alert", "脆弱性対応", "GHSA", "CVE 対応", "security alert 対応", "handle security alerts", "triage security alerts", "dependabot security", "依存の脆弱性", or similar phrases requesting to process Dependabot security alerts.

Reviews code or a change for exploitable vulnerabilities — injection, auth and access-control gaps, secret exposure, unsafe deserialization, SSRF, path traversal, and reports them with the concrete attack path. Use this whenever the user asks about security, vulnerabilities, hardening, or a security review, and also proactively when a change touches authentication, authorization, user input handling, file paths, subprocess calls, deserialization, or credentials. For general correctness review, use code-review.

Comprehensive security auditing workflow covering web application testing, API security, penetration testing, vulnerability scanning, and security hardening.

Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.

Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings. Use when hunting reportable, remotely reachable vulnerabilities in a repository.

リポジトリ内の悪用可能なバウンティ対象のセキュリティ問題を発見します。ノイズの多いローカルのみの発見ではなく、実際のレポートに適格なリモートから到達可能な脆弱性に焦点を当てます。