Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
8.1
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This is a high-quality skill for accessing the ZINC chemical database. The description is comprehensive and actionable, enabling a CLI agent to understand when and how to invoke the skill. Task knowledge is excellent with detailed API endpoints, curl examples, Python integration code, and four complete workflows covering common use cases (docking library prep, analog finding, batch retrieval, chemical space sampling). Structure is very good with clear sections, though the SKILL.md is quite detailed—some implementation details could potentially live in separate files. Novelty is solid: while basic web searches and API calls are possible without this skill, the specialized knowledge of ZINC's tranche system, proper query construction, distance parameters for similarity searches, and integrated workflows for drug discovery meaningfully reduce token costs and complexity for a CLI agent unfamiliar with cheminformatics databases. The skill appropriately references api_reference.md for advanced details. Minor improvement areas: could be slightly more modular, and the novelty is moderate since it primarily wraps an existing API rather than implementing complex algorithms.
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