chemistry-queryChemistry agent skill for PubChem API queries (compound info/properties, structures/SMILES/images, synthesis routes/references) + RDKit cheminformatics (SMIL...
Install via ClawdBot CLI:
clawdbot install cheminem/chemistry-queryGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.ebi.ac.uk/chembl/api/dataUses known external API (expected, informational)
ncbi.nlm.nih.govAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
Pharmaceutical researchers can use this skill to quickly retrieve compound data from PubChem, calculate molecular properties like logP and TPSA for ADMET profiling, and perform retrosynthesis to identify synthetic routes for novel drug candidates. It supports iterative analysis by chaining queries, such as starting with a compound name to get SMILES, then generating 2D visualizations and planning multi-step syntheses.
Educators and students in chemistry can leverage this skill to visualize molecular structures in PNG or SVG formats, simulate reactions using SMARTS templates like Suzuki or Diels-Alder, and explore retrosynthesis with BRICS disconnects. It helps in teaching concepts like molecular properties, fingerprint similarity, and synthesis planning through hands-on, automated queries.
Chemical engineers in manufacturing can utilize this skill to analyze synthesis routes for efficiency, simulate forward reactions to predict yields, and retrieve PubChem references for existing compounds to streamline production processes. The ability to generate Morgan fingerprints aids in quality control by comparing batch similarities.
Biotechnology firms can employ this skill for high-throughput screening by fetching compound information from PubChem, calculating key properties like HBD/HBA for bioactivity prediction, and performing substructure searches to identify analogs. The integration with chain_entry.py allows automated profiling of compound libraries for lead optimization.
Offer this skill as a cloud-based API service with tiered subscriptions, providing access to PubChem queries, RDKit analysis, and synthesis planning tools. Revenue is generated through monthly or annual fees based on usage limits, targeting academic and industrial labs needing scalable chemistry data processing.
License the skill as an integrated module within larger drug discovery platforms, with custom support for high-volume queries and proprietary data integration. Revenue comes from one-time licensing fees and ongoing maintenance contracts, catering to pharmaceutical firms requiring robust, secure cheminformatics solutions.
Provide a free version with basic PubChem lookups and molecular visualization for educational use, while premium features like advanced retrosynthesis, reaction simulation, and API access are paid. Revenue is generated through premium upgrades and institutional partnerships, appealing to universities and training programs.
💬 Integration Tip
Integrate this skill by using the chain_entry.py script for unified JSON outputs, which can feed directly into other AI agents like pharmacology modules, ensuring seamless data flow and error handling with structured responses.
Scored Apr 19, 2026
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