Install and configure SDRF annotation dependencies via Conda, Pip, or uv.
npx skills add https://github.com/bigbio/sdrf-skills --skill sdrf-setup
Please help me install this Agent Skill. Skill: sdrf:setup Source: https://github.com/bigbio/sdrf-skills/tree/main/skills/sdrf-setup Command: npx skills add https://github.com/bigbio/sdrf-skills --skill sdrf-setup
The skill helps users set up the SDRF annotation environment by installing required packages, configuring submodules, and verifying the installation, eliminating manual guesswork.
Ask the assistant to set up SDRF dependencies using the preferred package manager.
High-intent search queries and answers about installing and using this skill.
To install SDRF annotation dependencies, you can use Conda, Pip, or uv. The setup process detects available package managers and provides step-by-step commands utilizing environment.yml or requirements.txt to configure the necessary bioinformatics packages.
The best way to configure SDRF tools is by running a guided setup that detects your package manager, installs required dependencies from environment.yml or requirements.txt, and optionally initializes the SDRF specification submodule for annotation workflows.
You do not need Conda specifically to set up SDRF annotation tools; the setup supports Conda, Pip, and uv. It automatically detects your available package manager and suggests the appropriate installation commands for your environment.
SDRF setup may fail during submodule initialization if access to the terminal is restricted or the SDRF specification submodule cannot be reached. Ensure you have terminal access to run package manager commands and verify tool versions before initializing.
MCP server configuration for SDRF dependencies involves verifying tool versions and initializing submodules to enable full annotation capabilities. The setup guides users through checking MCP server status after installing required packages via Conda, Pip, or uv.
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