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Found 5,064 Skills
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
Quantum computing framework for building, simulating, optimizing, and executing quantum circuits. Use this skill when working with quantum algorithms, quantum circuit design, quantum simulation (noiseless or noisy), running on quantum hardware (Google, IonQ, AQT, Pasqal), circuit optimization and compilation, noise modeling and characterization, or quantum experiments and benchmarking (VQE, QAOA, QPE, randomized benchmarking).
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch/JAX/TensorFlow. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.
Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.
Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.
Patch, extend, or explain DatoCMS front-end integration code inside an existing web project (Next.js App Router, Nuxt, SvelteKit, Astro, plus React/Vue/Svelte component usage). Use for targeted, per-concern work — adding a draft mode endpoint, wiring Preview Links / Visual Editing flows, fixing Content Link overlays, tuning real-time preview updates/subscriptions, setting up cache-tag invalidation/revalidation flows (Next.js revalidateTag or CDN purge by tags), adding robots/sitemap wiring, or hooking up crawler-safe search integration. Also the go-to skill for framework component/hook wiring with react-datocms, vue-datocms, @datocms/svelte, and @datocms/astro: Image/SRCImage/datocms-image, StructuredText, VideoPlayer (React/Vue/Svelte), SEO/meta helpers (renderMetaTags/toHead/Seo), QuerySubscription/QueryListener realtime patterns, ContentLink components, and Site Search (React/Vue). Prefer this skill whenever the user is modifying a live codebase one concern at a time, asking a framework-specific API question, or mixing several front-end concerns in the same patch.
Work with the DatoCMS CLI tool (datocms) for command-line migrations, schema type generation, direct one-off CMA calls, typed one-off TypeScript CMA scripts, environment operations, deployment workflows, and multi-project profile syncing. Use when users ask for datocms CLI commands or scripts such as migrations:new, migrations:run, schema:generate, cma:call, cma:docs, cma:script (for ad-hoc typed TypeScript scripts with ambient client/Schema globals), migration scaffolding for models/fields/blocks, CLI setup with datocms.config.json and profiles, OAuth authentication (login, logout, whoami), discovering accessible projects (projects:list), project linking (link, unlink), environment commands (list/fork/promote/rename/destroy), maintenance-mode toggling, CI/CD migration pipelines, blueprint/client project sync, imports from WordPress or Contentful (including assets/content), and CLI plugin management (plugins:install, plugins:add, plugins:available, plugins:link for local plugin development, plugins:remove, plugins:update, plugins:reset, plugins:inspect).
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. Best for proteomics, comprehensive MS data processing. For simple spectral comparison and metabolite ID use matchms.
Write programmatic Node.js or TypeScript scripts that drive the DatoCMS Content Management API using @datocms/cma-client, @datocms/cma-client-node, or @datocms/cma-client-browser — the code-first companion for content-heavy and automation work. Prefer this skill whenever the task needs real code for records, uploads, or project automation — including short mid-conversation asks like "publish them", "fix those slugs", "delete all drafts", or "bulk import this CSV", and longer checked-in scripts. Covers four areas: (1) content operations — create/update/delete/publish records, bulk import/export and CSV pipelines, pagination over large record sets, asset uploads from URL or local files with metadata, structured text and block payload edits; (2) environment and project governance — fork/promote environments, webhooks and build triggers, project settings and maintenance mode, scheduled publish/unpublish workflows, audit logs, usage analytics, subscription limits; (3) access control and typed flows — roles and API tokens, upload tracks and tags, generated CMA schema types for type-safe record operations; (4) schema and UI configuration when the user explicitly bypasses the migrations workflow or wants schema mutations embedded in a larger script — models, fields, blocks, saved filters, dashboard and schema menus, plugin install and configuration. For ordinary schema changes inside a project with a migrations workflow or a secondary environment, prefer `datocms-cli` migrations as the safe default; reach for this skill only when the user opts out or the mutation is part of a broader automation. Works for both one-off execution via `cma:call` / `cma:script` and checked-in `buildClient()` scripts for reusable or unattended code.