database-lookup▌
K-Dense-AI/scientific-agent-skills · updated Jun 4, 2026
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### Database Lookup
- ›name: "database-lookup"
- ›description: "Search 78 public scientific, biomedical, materials science, and economic databases via REST APIs. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD), earth/environment (USGS, NOAA, EPA), chemistry/dr..."
| name | database-lookup |
| description | Search 78 public scientific, biomedical, materials science, and economic databases via REST APIs. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD), earth/environment (USGS, NOAA, EPA), chemistry/drugs (PubChem, ChEMBL, DrugBank, FDA, KEGG, ZINC, BindingDB), materials (Materials Project, COD), biology/genomics (Reactome, UniProt, STRING, Ensembl, NCBI Gene, GEO, GTEx, PDB, AlphaFold, InterPro, BioGRID, Gene Ontology, dbSNP, gnomAD, ENCODE, Human Protein Atlas, Human Cell Atlas), disease/clinical (COSMIC, Open Targets, ClinicalTrials.gov, OMIM, ClinVar, GDC/TCGA, cBioPortal, DisGeNET, GWAS Catalog), regulatory (FDA, USPTO, SEC EDGAR), economics/finance (FRED, World Bank, US Treasury), demographics (US Census, Eurostat, WHO). Use when looking up compounds, genes, proteins, pathways, variants, clinical trials, patents, economic indicators, or any public database API query. |
| metadata | version: "1.0" skill-author: K-Dense Inc. |
Database Lookup
You have access to 78 public databases through their REST APIs. Your job is to figure out which database(s) are relevant to the user's question, query them, and return the raw JSON results along with which databases you used.
Core Workflow
-
Understand the query — What is the user looking for? A compound? A gene? A pathway? A patent? Expression data? An economic indicator? This determines which database(s) to hit.
-
Select database(s) — Use the database selection guide below. When in doubt, search multiple databases — it's better to cast a wide net than to miss relevant data.
-
Read the reference file — Each database has a reference file in
references/with endpoint details, query formats, and example calls. Read the relevant file(s) before making API calls. -
Make the API call(s) — See the Making API Calls section below for which HTTP fetch tool to use on your platform.
-
Return results — Always return:
- The raw JSON response from each database
- A list of databases queried with the specific endpoints used
- If a query returned no results, say so explicitly rather than omitting it
Database Selection Guide
Match the user's intent to the right database(s). Many queries benefit from hitting multiple databases.
Physics & Astronomy
| User is asking about... | Primary database(s) | Also consider |
|---|---|---|
| Near-Earth objects, asteroids | NASA (NeoWs) | — |
| Mars rover images | NASA (Mars Rover Photos) | — |
| Exoplanets, orbital parameters | NASA Exoplanet Archive | — |
| Astronomical objects by name/coordinates | SIMBAD | SDSS |
| Galaxy/star spectra, photometry | SDSS | SIMBAD |
| Physical constants | NIST | — |
| Atomic spectra, spectral lines | NIST (ASD) | — |
Earth & Environmental Sciences
| User is asking about... | Primary database(s) | Also consider |
|---|---|---|
| Earthquakes, seismic events | USGS Earthquakes | — |
| Water data, streamflow, groundwater | USGS Water Services | — |
| Weather (current, forecast, historical) | OpenWeatherMap | NOAA |
| Climate data, historical weather stations | NOAA (CDO) | — |
| Air quality, toxic releases | EPA (Envirofacts) | — |
Chemistry & Drugs
| User is asking about... | Primary database(s) | Also consider |
|---|---|---|
| Chemical compounds, molecules | PubChem | ChEMBL |
| Molecular properties (weight, formula, SMILES) | PubChem | — |
| Drug synonyms, CAS numbers | PubChem (synonyms) | DrugBank |
| Bioactivity data, IC50, binding assays | ChEMBL | BindingDB, PubChem |
| Drug binding affinities (Ki, IC50, Kd) | ChEMBL, BindingDB | PubChem |
| Drug-target interactions | ChEMBL, DrugBank | BindingDB, Open Targets |
| Ligands for a protein target (by UniProt) | BindingDB | ChEMBL |
| Target identification from compound structure | BindingDB (SMILES similarity) | ChEMBL |
| Drug labels, adverse events, recalls | FDA (OpenFDA) | DailyMed |
| Drug labels (structured product labels) | DailyMed | FDA (OpenFDA) |
| Drug pharmacology, indications | DrugBank | FDA |
| Chemical cross-referencing | PubChem (xrefs) | ChEMBL |
| Commercially available compounds for screening | ZINC | PubChem |
| Similarity/substructure search (purchasable) | ZINC | PubChem, ChEMBL |
| Drug-like compound libraries, building blocks | ZINC | — |
| FDA-approved drug structures | ZINC (fda subset) | PubChem, FDA |
| Compound purchasability, vendor catalogs | ZINC | — |
Materials Science & Crystallography
| User is asking about... | Primary database(s) | Also consider |
|---|---|---|
| Materials by formula or elements | Materials Project | COD |
| Band gap, electronic structure | Materials Project | — |
| Crystal structures, CIF files | COD | Materials Project |
| Elastic/mechanical properties | Materials Project | — |
| Formation energy, thermodynamics | Materials Project | — |
| Cell parameters, space groups | COD | Materials Project |
Biology & Genomics
| User is asking about... | Primary database(s) | Also consider |
|---|---|---|
| Biological pathways | Reactome, KEGG | — |
| What pathways a gene/protein is in | Reactome (mapping), KEGG | — |
| Enzyme kinetics, catalytic activity | BRENDA | KEGG |
| Metabolomics studies, metabolite profiles | Metabolomics Workbench | PubChem |
| m/z or exact mass lookup | Metabolomics Workbench (moverz/exactmass) | PubChem |
| Protein sequence, function, annotation | UniProt | Ensembl |
| Protein-protein interactions | STRING | BioGRID |
| Gene information, genomic location | NCBI Gene | Ensembl |
| Genome sequences, variants, transcripts | Ensembl | NCBI Gene |
| Gene expression datasets | GEO (NCBI E-utilities) | — |
| Gene expression across tissues | GTEx | Human Protein Atlas |
| Gene expression signatures (CMap/L1000) | LINCS L1000 | GEO |
| Gene set enrichment vs GEO | RummaGEO | GEO |
| Protein sequences (NCBI) | NCBI Protein | UniProt |
| Taxonomic classification | NCBI Taxonomy | — |
| SNP/variant data (dbSNP) | dbSNP | ClinVar, gnomAD |
| Population variant frequencies | gnomAD | dbSNP |
| Sequencing run metadata | SRA | ENA, GEO |
| Nucleotide sequences (European archive) | ENA | SRA, NCBI Gene |
| Genome assemblies, raw reads (European) | ENA | SRA, Ensembl |
| Cross-references from sequence accessions | ENA (xref) | NCBI Gene, UniProt |
| Genome annotations, tracks | UCSC Genome Browser | Ensembl |
| 3D protein structures (experimental) | PDB (RCSB) | EMDB |
| 3D protein structures (predicted) | AlphaFold DB | PDB |
| EM maps, cryo-EM structures | EMDB | PDB |
| Protein families, domains | InterPro | UniProt |
| Chemical entities (biological) | ChEBI | PubChem |
| Protein/genetic interactions | BioGRID | STRING |
| Gene function annotations (GO terms) | QuickGO | Gene Ontology |
| Regulatory elements, ChIP-seq, ATAC-seq | ENCODE | — |
| TF binding profiles/motifs | JASPAR | ENCODE |
| Protein expression across tissues | Human Protein Atlas | UniProt |
| Single-cell atlas projects | Human Cell Atlas | — |
| Proteomics datasets | PRIDE | — |
| Mouse gene data | MouseMine | NCBI Gene |
| Plasmid repository | Addgene | — |
Organism/species matters. Most biology databases cover multiple organisms. If the user's query is about a specific organism, pass it explicitly — don't assume human. Common patterns: Ensembl uses {species} in the URL path (e.g. homo_sapiens), STRING/BioGRID/QuickGO use NCBI taxon IDs (species=9606 for human, 10090 for mouse), UniProt uses organism_id:9606 in search queries, KEGG uses organism codes (hsa, mmu). GTEx and Human Protein Atlas are human-only. Check the reference file for each database's specific parameter.
Disease & Clinical
| User is asking about... | Primary database(s) | Also consider |
|---|---|---|
| Somatic mutations in cancer | COSMIC | Open Targets, cBioPortal |
| Cancer genomics (TCGA) | GDC (TCGA) | COSMIC, cBioPortal |
| Cancer study mutations, CNA, expression | cBioPortal | GDC (TCGA), COSMIC |
| Tumor clinical data (survival, staging) | cBioPortal | GDC (TCGA) |
| Drug-target-disease associations | Open Targets | ChEMBL |
| Gene-disease associations | DisGeNET | Open Targets, Monarch |
| Mendelian disease-gene relationships | OMIM | NCBI Gene |
| Variant clinical significance | ClinVar (NCBI) | OMIM |
| GWAS SNP-trait associations | GWAS Catalog | — |
| Disease-phenotype-gene links | Monarch Initiative | HPO |
| Phenotype ontology, HPO terms | HPO | Monarch |
| Pharmacogenomics, drug-gene interactions | ClinPGx (PharmGKB) | DrugBank |
| Clinical trials for a drug/disease | ClinicalTrials.gov | FDA |
| Disease-related expression data | GEO | Open Targets |
Patents & Regulatory
| User is asking about... | Primary database(s) | Also consider |
|---|---|---|
| Patents by keyword or technology | USPTO (PatentsView) | — |
| Patents by inventor or assignee | USPTO (PatentsView) | — |
| Patent prosecution status | USPTO (PEDS) | — |
| Trademark lookup | USPTO (TSDR) | — |
| SEC company filings, 10-K, 10-Q | SEC EDGAR | — |
Economics & Finance
| User is asking about... | Primary database(s) | Also consider |
|---|---|---|
| US economic time series (GDP, CPI, rates) | FRED | BEA |
| Employment, wages, labor statistics | BLS | FRED |
| GDP, national accounts | BEA | FRED, World Bank |
| International development indicators | World Bank | FRED |
| Interest rates, money supply | Federal Reserve | FRED |
| Euro exchange rates, ECB monetary stats | ECB | — |
| US debt, yield curves, fiscal data | US Treasury | FRED |
| Stock prices, forex, crypto | Alpha Vantage | — |
| Statistical data across many topics | Data Commons | — |
Social Sciences & Demographics
| User is asking about... | Primary database(s) | Also consider |
|---|---|---|
| US population, housing, income data | US Census | Data Commons |
| EU statistics (economy, trade, health) | Eurostat | World Bank |
| Global health indicators (mortality, disease) | WHO GHO | World Bank |
Cross-domain queries
| User is asking about... | Primary database(s) | Also consider |
|---|---|---|
| Everything about a compound | PubChem + ChEMBL + DrugBank | BindingDB, ZINC, Reactome, FDA |
| Everything about a gene | NCBI Gene + UniProt + Ensembl | Reactome, STRING, COSMIC, cBioPortal, ENA |
| Everything about a variant | dbSNP + ClinVar + gnomAD | GWAS Catalog, COSMIC, cBioPortal |
| Drug target pathways | ChEMBL + Reactome | Open Targets, GEO |
| Prior art for a chemical invention | USPTO + PubChem | ChEMBL |
| Everything about a material | Materials Project + COD | — |
| US economic overview | FRED + BLS + BEA | Federal Reserve |
When the user's query spans multiple domains (e.g. "what do we know about aspirin" or "find everything about BRCA1"), query all relevant databases in parallel.
Common Identifier Formats
Different databases use different identifier systems. If a query fails, the identifier format may be wrong. Here's a quick reference:
| Identifier | Format | Example | Used by |
|---|---|---|---|
| UniProt accession | P##### or Q##### | P04637 (TP53) | UniProt, STRING, AlphaFold, Reactome mapping |
| Ensembl gene ID | ENSG########### | ENSG00000141510 | Ensembl, Open Targets, GTEx |
| NCBI Gene ID | Integer | 7157 (TP53) | NCBI Gene, GEO, DisGeNET, HPO |
| HGNC ID | HGNC:##### | HGNC:11998 | Monarch |
| PubChem CID | Integer | 2244 (aspirin) | PubChem |
| ZINC ID | ZINC + 15 digits | ZINC000000000053 (aspirin) | ZINC |
| ENA Project | PRJEB + digits | PRJEB40665 | ENA |
| ENA Run | ERR + digits | ERR1234567 | ENA |
| ENA Experiment | ERX + digits | ERX1234567 | ENA |
| ENA Sample | ERS + digits | ERS1234567 | ENA |
| ChEMBL ID | CHEMBL#### | CHEMBL25 (aspirin) | ChEMBL |
| Reactome stable ID | R-HSA-###### | R-HSA-109581 | Reactome |
| HP term | HP:####### | HP:0001250 (seizure) | HPO (URL-encode colon as %3A) |
| MONDO disease | MONDO:####### | MONDO:0007947 | Monarch |
| GO term | GO:####### | GO:0008150 | QuickGO, Gene Ontology |
| dbSNP rsID | rs######## | rs334 | dbSNP, GWAS Catalog, gnomAD |
| GENCODE ID | ENSG###.## (versioned) | ENSG00000139618.17 | GTEx (requires version suffix) |
Identifier Resolution
When a database doesn't recognize an identifier, convert it using these workflows:
Genes: Symbol (e.g. "TP53") → look up in NCBI Gene (esearch by symbol) → get NCBI Gene ID → convert to Ensembl ID via Ensembl /xrefs/symbol/homo_sapiens/{symbol}, or to UniProt accession via UniProt search (gene_exact:{symbol} AND organism_id:9606).
Compounds: Name → PubChem /compound/name/{name}/cids/JSON → get CID → convert to ChEMBL ID via UniChem or ChEMBL molecule search. If name lookup fails, try SMILES, InChIKey, or CAS number.
Variants: rsID (e.g. "rs334") works directly in dbSNP, ClinVar, GWAS Catalog, gnomAD. For genomic coordinates, use Ensembl VEP to get consequence annotations and linked rsIDs.
Diseases: Name → Open Targets or Monarch search → get EFO or MONDO ID → use in downstream queries.
POST-Only APIs
These databases require HTTP POST and will not work with WebFetch (GET-only). Use curl via your platform's shell tool instead:
| Database | Why POST needed | Example |
|---|---|---|
| Open Targets | GraphQL endpoint | curl -X POST -H "Content-Type: application/json" -d '{"query":"..."}' https://api.platform.opentargets.org/api/v4/graphql |
| gnomAD | GraphQL endpoint | curl -X POST -H "Content-Type: application/json" -d '{"query":"..."}' https://gnomad.broadinstitute.org/api |
| RummaGEO | POST-only enrichment | curl -X POST -H "Content-Type: application/json" -d '{"genes":["..."]}' https://rummageo.com/api/enrich |
| GDC/TCGA | Complex filter queries | curl -X POST -H "Content-Type: application/json" -d '{"filters":...}' https://api.gdc.cancer.gov/ssms |
| SEC EDGAR | Requires User-Agent header | curl -H "User-Agent: YourApp [email protected]" https://efts.sec.gov/LATEST/search-index?q=... |
API Keys and Access Restrictions
Some databases require API keys or have access restrictions. When an API key is needed:
- Check the current environment first — the key may already be exported as a shell environment variable (e.g.
$FRED_API_KEY). Read it directly from the environment. - Fall back to
.env— if the variable isn't in the environment, check the.envfile in the current working directory. - If neither has it — proceed without the key (most APIs still work at lower rate limits) and tell the user which key is missing and how to get one.
Databases requiring API keys (free registration)
| Database | Env Variable | Registration URL |
|---|---|---|
| FRED | FRED_API_KEY | https://fred.stlouisfed.org/docs/api/api_key.html |
| BEA | BEA_API_KEY | https://apps.bea.gov/API/signup/ |
| BLS | BLS_API_KEY | https://data.bls.gov/registrationEngine/ |
| NCBI (GEO, Gene) | NCBI_API_KEY | https://www.ncbi.nlm.nih.gov/account/settings/ |
| OpenFDA | OPENFDA_API_KEY | https://open.fda.gov/apis/authentication/ |
| USPTO (PatentsView) | PATENTSVIEW_API_KEY | https://patentsview.org/apis/keyrequest |
| Data Commons | DATACOMMONS_API_KEY | Google Cloud Console |
| Materials Project | MP_API_KEY | https://materialsproject.org (free account) |
| NASA | NASA_API_KEY | https://api.nasa.gov (free, DEMO_KEY available) |
| NOAA (CDO) | NOAA_API_KEY | https://www.ncdc.noaa.gov/cdo-web/token |
| OpenWeatherMap | OPENWEATHERMAP_API_KEY | https://openweathermap.org/appid |
| OMIM | OMIM_API_KEY | https://omim.org/api (free academic) |
| BioGRID | BIOGRID_API_KEY | https://webservice.thebiogrid.org (free) |
| Alpha Vantage | ALPHAVANTAGE_API_KEY | https://www.alphavantage.co/support/#api-key |
| US Census | CENSUS_API_KEY | https://api.census.gov/data/key_signup.html |
| DisGeNET | DISGENET_API_KEY | https://www.disgenet.org (free academic) |
| Addgene | ADDGENE_API_KEY | https://www.addgene.org (free account) |
| LINCS L1000 (CLUE) | CLUE_API_KEY | https://clue.io (free academic) |
These are all free to obtain. The APIs work without keys but have lower rate limits. Always try with a key first — if the env variable isn't set, proceed without the key and note in your response that rate limits may be lower.
Databases with paid or restricted access
| Database | Restriction | Free alternative |
|---|---|---|
| DrugBank | Paid API license required | Use ChEMBL + PubChem + OpenFDA instead |
| COSMIC | Free academic registration required (JWT auth) | Use Open Targets for cancer mutation data |
| BRENDA | Free registration required (SOAP, not REST) | Use KEGG for enzyme/pathway data |
When a database requires paid access or registration the user hasn't set up:
- Fall back to a free alternative that can answer the same question
- Tell the user which database you couldn't access, why, and what you used instead
- If the user specifically requests a restricted database, explain the access requirements so they can set it up
Loading API keys
Step 1 — Check the current environment. The key may already be exported as a shell variable. For example, in Claude Code you can check with Bash: echo $FRED_API_KEY. If the variable is set and non-empty, use it.
Step 2 — Check .env file. If the environment variable isn't set, read .env from the current working directory. Format:
FRED_API_KEY=your_key_here
BEA_API_KEY=your_key_here
Step 3 — Proceed without. If neither source has the key, proceed without it (most APIs still work at lower rate limits) and mention this to the user.
Making API Calls
Use your environment's HTTP fetch tool to call REST endpoints. The tool name varies by platform:
| Platform | HTTP Fetch Tool | Fallback |
|---|---|---|
| Claude Code | WebFetch | curl via Bash |
| Gemini CLI | web_fetch | curl via shell |
| Windsurf | read_url_content | curl via terminal |
| Cursor | No dedicated fetch tool | curl via run_terminal_cmd |
| Codex CLI | No dedicated fetch tool | curl via shell |
| Cline | No dedicated fetch tool | curl via execute_command |
If you don't recognize your platform or the fetch tool fails, fall back to curl via whatever shell/terminal tool is available. Example:
curl -s -H "Accept: application/json" "https://api.example.com/endpoint"
Request guidelines
- Set
Accept: application/jsonheader where supported - URL-encode special characters in query parameters — SMILES strings (
/,#,=,@), compound names with parentheses, and ontology terms with colons (HP:0001250→HP%3A0001250) are common sources of failures. Withcurl, use--data-urlencodefor safety. - Parallel OK: When querying different databases (e.g., PubChem + ChEMBL + Reactome), run them in parallel — most APIs have generous rate limits.
- Serialize requests to rate-limited APIs: NCBI APIs (Gene, GEO, Protein, Taxonomy, dbSNP, SRA) at 3 req/sec without key, 10 with key. Also watch: Ensembl (15 req/sec), BLS v1 (25 req/day without key), SEC EDGAR (10 req/sec), NOAA (5 req/sec with token).
- If you get a rate-limit error (HTTP 429 or 503), wait briefly and retry once
Error recovery
If an API returns an error or empty results:
- Check the identifier format — use the Common Identifier Formats table above. A gene symbol may need to be converted to NCBI Gene ID or Ensembl ID first.
- Try alternative identifiers — if a compound name fails in PubChem, try SMILES, InChIKey, or CID. If a gene symbol fails, try the NCBI Gene ID.
- Try a different database — if one database is down or returns nothing, check the "Also consider" column in the selection guide for alternatives.
- Report the failure — tell the user which database failed, the error, and what you tried instead.
Pagination
Many APIs return paginated results — if you only read the first page, you may miss data. Common patterns:
- Offset/Limit:
offset=0&limit=100→ increment offset by limit for the next page (ChEMBL, FRED, NOAA, USGS, NCBI E-utilities, ENA, GDC, FDA) - Cursor-based: Response includes a
nextPageTokenorcursorvalue — pass it in the next request (ClinicalTrials.gov, UniProt) - Page number:
page=1&per_page=50→ increment page (World Bank, cBioPortal, ZINC)
Check the reference file for each database's specific pagination parameters. If a response includes total, totalCount, or next and the number of returned results is less than the total, there are more pages.
For targeted lookups (single gene, single compound), the first page is usually sufficient. Paginate when the user needs comprehensive results (e.g., "all clinical trials for X" or "all known variants in gene Y").
Output Format
Structure your response like this:
## Databases Queried
- **PubChem** — /compound/name/aspirin/property/...
- **Reactome** — /search/query?query=aspirin
## Results
### PubChem
[raw JSON response]
### Reactome
[raw JSON response]
If results are very large, present the most relevant portion and note that additional data is available. But default to showing the full raw JSON — the user asked for it.
Adding New Databases
This skill is designed to grow. Each database is a self-contained reference file in references/. To add a new database:
- Create
references/<database-name>.mdfollowing the same format as existing files - Add an entry to the database selection guide above
- The reference file should include: base URL, key endpoints, query parameter formats, example calls, rate limits, and response structure
Available Databases
Read the relevant reference file before making any API call.
Physics & Astronomy
| Database | Reference File | What it covers |
|---|---|---|
| NASA | references/nasa.md | NEO asteroids, Mars rover, APOD |
| NASA Exoplanet Archive | references/nasa-exoplanet-archive.md | Exoplanets, orbital parameters |
| NIST | references/nist.md | Physical constants, atomic spectra |
| SDSS | references/sdss.md | Galaxy/star spectra, photometry |
| SIMBAD | references/simbad.md | Astronomical object catalog |
Earth & Environmental Sciences
| Database | Reference File | What it covers |
|---|---|---|
| USGS | references/usgs.md | Earthquakes, water data |
| NOAA | references/noaa.md | Climate, weather station data |
| EPA | references/epa.md | Air quality, toxic releases |
| OpenWeatherMap | references/openweathermap.md | Weather current/forecast |
Chemistry & Drugs
| Database | Reference File | What it covers |
|---|---|---|
| PubChem | references/pubchem.md | Compounds, properties, synonyms |
| ChEMBL | references/chembl.md | Bioactivity, drug discovery |
| DrugBank | references/drugbank.md | Drug data, interactions (paid) |
| FDA (OpenFDA) | references/fda.md | Drug labels, adverse events, recalls |
| DailyMed | references/dailymed.md | Drug labels (NIH/NLM) |
| KEGG | references/kegg.md | Pathways, genes, compounds |
| ChEBI | references/chebi.md | Chemical entities of biological interest |
| ZINC | references/zinc.md | Commercially available compounds, virtual screening |
| BindingDB | references/bindingdb.md | Experimentally measured binding affinities |
Materials Science
| Database | Reference File | What it covers |
|---|---|---|
| Materials Project | references/materials-project.md | Band gaps, elastic properties, crystal structures |
| COD | references/cod.md | Crystal structures, CIF files |
Biology & Genomics
| Database | Reference File | What it covers |
|---|---|---|
| Reactome | references/reactome.md | Biological pathways, reactions |
| BRENDA | references/brenda.md | Enzyme kinetics, catalysis (SOAP) |
| UniProt | references/uniprot.md | Protein sequences, function |
| STRING | references/string.md | Protein-protein interactions |
| Ensembl | references/ensembl.md | Genomes, variants, sequences |
| NCBI Gene | `references/ncbi-ge |
How to use database-lookup on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add database-lookup
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches database-lookup from GitHub repository K-Dense-AI/scientific-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate database-lookup. Access the skill through slash commands (e.g., /database-lookup) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★67 reviews- ★★★★★Chinedu Mehta· Dec 28, 2024
Keeps context tight: database-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Omar Martin· Dec 24, 2024
I recommend database-lookup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Soo Huang· Dec 20, 2024
database-lookup reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ganesh Mohane· Dec 16, 2024
database-lookup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Isabella Park· Dec 16, 2024
Solid pick for teams standardizing on skills: database-lookup is focused, and the summary matches what you get after install.
- ★★★★★Kiara Taylor· Dec 8, 2024
Useful defaults in database-lookup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Mia Patel· Dec 8, 2024
database-lookup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Emma Menon· Nov 27, 2024
database-lookup has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Aarav Anderson· Nov 27, 2024
Keeps context tight: database-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Lucas Mensah· Nov 27, 2024
We added database-lookup from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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