### Pubchem Database
Works with
name: "pubchem-database"
description: "Query PubChem, search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics. Use when a user asks about a specific chemical, drug, or molecule."
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpubchem-databaseExecute the skills CLI command in your project's root directory to begin installation:
Fetches pubchem-database from google-deepmind/science-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate pubchem-database. Access via /pubchem-database in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Save 3-5 hours per week on routine tasks
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Accelerate learning and skill development by 2x
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| name | pubchem-database |
| description | > Query PubChem, search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics. Use when a user asks about a specific chemical, drug, or molecule. |
uv: Read the uv skill and follow its Setup instructions to ensure
uv is installed and on PATH.PubChem queries are executed via a robust Python wrapper script to respect terms-of-service and handle complex JSON parsing. This script allows safe multi-agent use of APIs.
Example: Resolve a chemical name to its Compound ID (CID)
uv run scripts/pubchem_api.py resolve --name "aspirin" --output result.json
1. Compound Resolution (Name or InChI to Identifiers) Convert chemical/trade names or InChI strings into PubChem CIDs, SMILES, and InChIKeys.
uv run scripts/pubchem_api.py resolve --name "ibuprofen" --output result.json
# OR
uv run scripts/pubchem_api.py resolve --inchi "InChI=1S/C3/c1-3-2/i1+1" --output result.json
2. Physical & Chemical Property Retrieval Fetch computed properties (e.g., MolecularWeight, XLogP, TPSA).
uv run scripts/pubchem_api.py properties --cid 2244 --output result.json
3. Synonyms and Trade Names Find alternative names and brand names.
uv run scripts/pubchem_api.py synonyms --cid 2244 --output result.json
4. Safety and Hazard Information (GHS) Retrieve Global Harmonized System hazard statements and handling precautions (uses PUG-View).
uv run scripts/pubchem_api.py safety --cid 2244 --output result.json
5. Drug and Medication Information Fetch FDA pharmacology data, mechanism of action, and therapeutic uses (uses PUG-View).
uv run scripts/pubchem_api.py pharmacology --cid 2244 --output result.json
6. Custom Heading (PUG-View) Retrieve any specific heading from the PUG-View system (e.g., 'Geometry', 'Crystal Structures').
uv run scripts/pubchem_api.py view --cid 3939 --heading "Crystal Structures" --output result.json
7. Image Generation Retrieve 2D chemical structure images. The script returns a Markdown-formatted image link.
uv run scripts/pubchem_api.py image --cid 2244 --output result.json
8. Structure-Based Searching (Similarity & Substructure) Find molecules similar to a SMILES string or containing a specific substructure.
uv run scripts/pubchem_api.py similarity --smiles "CC(=O)OC1=CC=CC=C1C(=O)O" --output result.json
and
uv run scripts/pubchem_api.py substructure --smiles "C1=CC=CC=C1" --output result.json
9. BioAssay & Target Interactions Identify genes or proteins a chemical interacts with.
uv run scripts/pubchem_api.py assays --cid 2244 --output result.json
10. Cross-references (Xrefs) Fetch identifiers cross-referenced with a CID (e.g., PatentID, PubMedID).
uv run scripts/pubchem_api.py xrefs --cid 2244 --type "PatentID" --output result.json
11. Property Range Search Find CIDs within a specific property range.
Supported features include: molecular_weight, heavy_atom_count, xlogp,
tpsa, h_bond_donor_count, h_bond_acceptor_count, rotatable_bond_count,
exact_mass, monoisotopic_mass, and complexity.
uv run scripts/pubchem_api.py range --feature molecular_weight --min 400.0 --max 400.05 --output result.json
12. Custom PUG-REST Query Execute a raw path against the PUG-REST API.
uv run scripts/pubchem_api.py query --path "compound/cid/2244/xrefs/PatentID/JSON" --output result.json
If direct resolution by name or formula fails (e.g., for complex compounds or specific ions):
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
google-deepmind/science-skills
google-deepmind/science-skills
google-deepmind/science-skills
K-Dense-AI/scientific-agent-skills
K-Dense-AI/scientific-agent-skills
K-Dense-AI/scientific-agent-skills
pubchem-database fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: pubchem-database is focused, and the summary matches what you get after install.
pubchem-database reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for pubchem-database matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend pubchem-database for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: pubchem-database is the kind of skill you can hand to a new teammate without a long onboarding doc.
pubchem-database reduced setup friction for our internal harness; good balance of opinion and flexibility.
pubchem-database has been reliable in day-to-day use. Documentation quality is above average for community skills.
pubchem-database is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend pubchem-database for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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