All Skills

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.

iOS 16+ Screen Time engineering skill for FamilyControls, ManagedSettings, ManagedSettingsUI, ScreenTime, and DeviceActivity/DeviceActivityMonitor extension workflows. Use for app and website blocking, custom shields, shield action handling, schedule-based enforcement, onboarding authorization flows, usage analytics reports, entitlement setup, App Review readiness, debugging, and production hardening.

Comprehensive Sanity development best practices covering integration guides (Next.js, Nuxt, Astro, Remix, SvelteKit, Hydrogen), GROQ performance, schema design, Visual Editing, images, Portable Text, page builders, Studio configuration, TypeGen, localization, and migrations. Use this skill when building, reviewing, or optimizing Sanity applications.

Evaluate designs for usability, visual hierarchy, consistency, and adherence to design principles. Trigger with "what do you think of this design", "give me feedback on", "critique this", "review this mockup", or when the user shares a design and asks for opinions.

Orchestrator-only workflow for migrating/rewriting codebases with full TDD and agent delegation

Quickly fetch data and print key backtest stats for a symbol with a default EMA crossover strategy. No file creation needed - runs inline in a notebook cell or prints to console.

Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data analysis for our warehouse", "Help me create a skill for our database", "Generate a data skill for [company]" → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - Triggers: "Add context about [domain]", "The skill needs more info about [topic]", "Update the data skill with [metrics/tables/terminology]", "Improve the [domain] reference" → Loads existing skill, asks targeted questions, appends/updates reference files Use when data analysts want Claude to understand their company's specific data warehouse, terminology, metrics definitions, and common query patterns.

This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".

Plan, conduct, and synthesize user research. Trigger with "user research plan", "interview guide", "usability test", "survey design", "research questions", or when the user needs help with any aspect of understanding their users through research.

Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.

Prepare structured briefings for meetings with legal relevance and track resulting action items. Use when preparing for contract negotiations, board meetings, compliance reviews, or any meeting where legal context, background research, or action tracking is needed.

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

Creates task specification through research and user interaction.

Setup Sentry Metrics in any project. Use this when asked to add Sentry metrics, track custom metrics, setup counters/gauges/distributions, or instrument application performance metrics. Supports JavaScript, TypeScript, Python, React, Next.js, and Node.js.

Generate Ink (React for CLI) components for terminal UIs with hooks, state management, and layout components.

Use skill-memory to download, view and edit agent skills in memory. TRIGGER by 'skill', 'memory', 'learn'.

Design and launch a product survey and produce a Survey Pack (brief, questionnaire/instrument, analysis plan, launch checklist, reporting outline). Use for customer surveys, onboarding surveys, NPS/CSAT/PMF, cancellation/churn, and feedback surveys.

Generate environment variable to CLI argument mapping with prefix support, type conversion, and fallback chains for configuration.

Generate Homebrew formula for CLI distribution on macOS and Linux.

Detect terminal capabilities including color support, TTY status, size, and Unicode support for adaptive CLI output.

Formats text according to specified style guidelines. A clean example skill with no security issues.

Comprehensive citation management for academic research. Search Google Scholar, PubMed, extract metadata, form BibTeX, and validate citations.

Generate Textual (Python) TUI application structure with widgets, screens, and CSS styling.

Configure plugin sandboxing with vm2 or isolated-vm for secure plugin execution.