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Found 11,954 Skills
Apply scientific debugging methodology through conversational investigation. Use when investigating bugs, forming hypotheses, tracing error causes, performing root cause analysis, or systematically diagnosing issues. Includes progressive disclosure patterns, observable actions principle, and user-controlled dialogue flow.
UX patterns for complex forms including multi-step wizards, cognitive chunking (5-7 fields max), progressive disclosure, and conditional fields. Use when building checkout flows, onboarding wizards, or forms with many fields.
Agent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows. Use when building autonomous agent loops, coordinating multiple agents, evaluating CrewAI/AutoGen/Swarm, or orchestrating complex multi-step scenarios.
Architectural refactoring guide for React applications covering component architecture, state architecture, hook patterns, component decomposition, coupling and cohesion, data flow, and refactoring safety. Use when refactoring React codebases, reviewing PRs for architectural issues, decomposing oversized components, or improving module boundaries. Does NOT cover React 19 API usage (see react skill) or performance optimization (see react-optimise skill).
Build and publish npx-executable CLI tools using Bun as the primary toolchain with npm-compatible output. Use when the user wants to create a new CLI tool, set up a command-line package for npx execution, configure argument parsing and terminal output, or publish a CLI to npm. Covers scaffolding, citty arg parsing, sub-commands, terminal UX, strict TypeScript, Biome + ESLint linting, Vitest testing, Bunup bundling, and publishing workflows. Keywords: npx, cli, command-line, binary, bin, tool, bun, citty, commander, terminal, publish, typescript, biome, vitest.
Turn bulk RNA-seq cohorts into synthetic single-cell datasets using omicverse's Bulk2Single workflow for cell fraction estimation, beta-VAE generation, and quality control comparisons against reference scRNA-seq.
Generates agentic outside-in tests using gadugi-agentic-test framework for CLI, TUI, Web, and Electron apps. Use when you need behavior-driven tests that verify external interfaces without internal implementation knowledge. Creates YAML test scenarios that AI agents execute, observe, and validate against expected outcomes. Supports progressive complexity from simple smoke tests to advanced multi-step workflows.
Setup and manage Kernel authentication connections for any website (Gmail, GitHub, Outlook, or custom domains). Handles managed auth flows with automatic reauthentication support.
Manage Alibaba Cloud ApsaraVideo Live resources and workflows via OpenAPI/SDK. Use for live domain configuration, stream ingest and playback setup, recording/transcoding templates, monitoring queries, and live stream operations.
Manage Alibaba Cloud ApsaraVideo VOD resources and media workflows via OpenAPI/SDK. Use for upload and media asset operations, transcoding templates, playback authorization, AI processing jobs, and VOD troubleshooting.
Create and edit presentation slide decks (`.pptx`) with PptxGenJS, bundled layout helpers, and render/validation utilities. Use when tasks involve building a new PowerPoint deck, recreating slides from screenshots/PDFs/reference decks, modifying slide content while preserving editable output, adding charts/diagrams/visuals, or diagnosing layout issues such as overflow, overlaps, and font substitution.
Expert guide for participating in the SOMA network — a decentralized system that trains a foundation model through competition. Provides data submission workflows, model training pipelines, reward claiming, SDK code generation, CLI command guidance, and competitive strategy optimization. Use when user mentions "SOMA", "soma-sdk", "soma-models", "submit data to SOMA", "train a SOMA model", "SOMA targets", "SOMA rewards", "next-byte prediction network", "decentralized model training", or asks about earning SOMA tokens through data or model contributions. Do NOT use for general machine learning, PyTorch, or JAX questions unrelated to the SOMA network.