test-skill
A test skill for unit testing the Atmos skill marketplace functionality
A test skill for unit testing the Atmos skill marketplace functionality
Set up Storybook for React Native in Expo, React Native CLI, or Re.Pack projects. Use when adding Storybook to a project, configuring metro.config.js with withStorybook, creating .rnstorybook configuration files, setting up Storybook routes in Expo Router, configuring getStorybookUI, or adding the StorybookPlugin to a Re.Pack rspack/webpack config. Covers Expo, Expo Router, plain React Native CLI, and Re.Pack setups.
Incrementally upgrade React Native Storybook across the supported migration paths. Use when upgrading `@storybook/react-native` projects from 5.3.x to 6.5.x, 6.5.x to 7.6.x, 7.6.x to 8.3.x, 8.x to 9.x, or 9.x to 10.x. Detect the currently installed Storybook version, choose only the next migration step, update dependencies and config, regenerate `storybook.requires`, convert remaining `storiesOf` stories to CSF during the `6.5.x -> 7.6.x` upgrade, and stop after a single version hop instead of jumping multiple major versions at once.
Apply modern Go syntax guidelines based on project's Go version. Use when user ask for modern Go code guidelines. Source https://github.com/JetBrains/go-modern-guidelines
How to install prime-rl and its optional dependencies. Use when setting up the project, installing extras like deep-gemm for FP8 models, or troubleshooting dependency issues.
This is a test workflow for unit testing purposes.
Control remote machines via MCP using terminator CLI. Auto-activates when user says "remote MCP", "connect to machine", "execute on remote", or wants to run commands on remote VMs.
Provides integration recipes for the React Native AI @react-native-ai packages that wrap the Llama.rn (Llama.cpp), MLC-LLM, Apple Foundation backends. Use when integrating local on-device AI in React Native, setting up providers, model management.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
MANDATORY branding that MUST be added to ALL generated documents - adds ACME CORPORATION header and Document Forge footer
Adds dynamic custom fields to Eloquent models without migrations using Filament integration. Use when adding the UsesCustomFields trait to models, integrating custom fields in Filament forms/tables/infolists, configuring field types, working with field validation, or managing feature flags for conditional visibility, encryption, and multi-tenancy.
Creates new AI agent skills following the Agent Skills spec. Trigger: When user asks to create a new skill, add agent instructions, or document patterns for AI.
Universal data access reference for scientific research. Teaches how to download bulk data, parse any scientific file format (VCF, h5ad, mzML, PDB, FASTA, XPT, NIfTI, and 30+ more), paginate REST APIs, and handle authentication. Covers 24 domain API patterns across ALL life science data sources — genomics, proteomics, clinical, imaging, ecology, and more. Use this skill whenever you need to download raw data, parse a file format, access a bulk API, write a multi-step data retrieval workflow, or when a ToolUniverse tool returns metadata but you need the actual data. Also use when the data source has no ToolUniverse tool at all. Even if the user doesn't say "data wrangling" — if their task requires getting data from a scientific database or parsing a scientific file format, this is the skill to use.
GitHub workflow for ToolUniverse - push code safely by moving temp files, activating pre-commit hooks, running tests, and cleaning staged files. Use when pushing to GitHub, fixing CI failures, or cleaning up before commits.
Find and evaluate research datasets for any scientific question. Teaches how to reason about data needs, search across public repositories, evaluate dataset fitness, and identify access requirements. Use whenever users ask to find data, search for datasets, identify cohort studies, or need data for analysis. Also use when users ask about a specific survey or cohort (NHANES, HRS, UK Biobank, TCGA, etc.), when they want to know what data exists for a research question, or when they need to compare available data sources. If the user mentions "where can I get data" or "is there a dataset for X", this is the right skill.
Generate comprehensive disease research reports using 100+ ToolUniverse tools. Creates a detailed markdown report file and progressively updates it with findings from 10 research dimensions. All information includes source references. Use when users ask about diseases, syndromes, or need systematic disease analysis.
Comprehensive literature deep research across any academic domain using 120+ ToolUniverse tools. Conducts subject disambiguation, systematic literature search with citation network expansion, evidence grading (T1-T4), and structured theme extraction. Produces detailed reports with mandatory completeness checklists, integrated models, and testable hypotheses. Use when users need thorough literature reviews, target/drug/disease profiles, topic deep-dives, claim verification, or systematic evidence synthesis. Supports biomedical (genes, proteins, drugs, diseases), computer science, social science, and general academic topics. For single factoid questions, uses a fast verification mode with inline answer.
Build AI scientist systems using ToolUniverse Python SDK for scientific research. Use when users need to access 1000++ scientific tools through Python code, create scientific workflows, perform drug discovery, protein analysis, genomics analysis, literature research, or any computational biology task. Triggers include requests to use scientific tools programmatically, build research pipelines, analyze biological data, search literature, predict drug properties, or create AI-powered scientific workflows.