pyopenms
Supports feature detection, peptide and protein identification, label-free and isobaric quantification, and adduct and accurate-mass annotation. Covers complex LC-MS/MS pipelines with extensive file format and algorithm support.
Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Supports feature detection, peptide and protein identification, label-free and isobaric quantification, and adduct and accurate-mass annotation. Covers complex LC-MS/MS pipelines with extensive file format and algorithm support.
Uses Therapeutics Data Commons for registry discovery, approved dataset access, task-aware data splits, evaluation metrics, and benchmark groups. Also supports bounded molecular-oracle workflows.
Finds, filters, previews, and exports references from BibTeX or BibLaTeX libraries, including Zotero exports. Searches by bibliographic fields, topics, identifiers, recency, or claim support and generates citation snippets.
Supports quantum computing with Google's Cirq framework. Focuses on Google hardware, noise modeling, low-level circuit design, and quantum characterization experiments.
Covers the Options pattern, IOptionsSnapshot versus IOptions, secrets management, and environment-based configuration. Supports configuration section binding, appsettings, and connection string setup.
Supports FCS 2.0, 3.0, and 3.1 reading, metadata and channel inspection, NumPy event extraction, and multi-dataset files. Provides table export and FCS 3.1 creation, leaving compensation, gating, and cytometry transforms to FlowKit.
Uses Roslyn MCP tools to evaluate builds, code quality, architecture, test coverage, dead code, API surface, security, and documentation. Produces an A–F report card with actionable recommendations.
Find GGUF models, choose quantization levels, locate exact files, and convert models for local use. Covers llama.cpp servers and OpenAI-compatible serving on CPU, Mac Metal, CUDA, and ROCm.
Provides more than 100 molecular featurizers, including ECFP, MACCS, descriptors, and pretrained models such as ChemBERTa. Converts SMILES into features for QSAR and molecular machine learning.
Covers creating a Paddle customer portal session URL from a Next.js Server Action. Explains portal versus custom billing screens, authentication, ownership, overview and deep-link URLs, and the security model.
Defines a premium aesthetic inspired by Apple. Emphasizes precise spacing, modern typography, and a refined visual language.
Retrieves federal data on national debt, Treasury statements, securities auctions, interest and exchange rates, savings bonds, revenue, and spending. API access requires no key.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name