> browse/registry
$ loading registry▋
found 92 skills in registry
> jaspar-database
Query JASPAR for transcription factor binding site (TFBS) profiles (PWMs/PFMs). Search by TF name, species, or class; scan DNA sequences for TF binding sites; compare matrices; essential for regulatory genomics, motif analysis, and GWAS regulatory variant interpretation.
#data#database#performance
K-Dense-AI> monarch-database
Query the Monarch Initiative knowledge graph for disease-gene-phenotype associations across species. Integrates OMIM, ORPHANET, HPO, ClinVar, and model organism databases. Use for rare disease gene discovery, phenotype-to-gene mapping, cross-species disease modeling, and HPO term lookup.
#data#database#sql
K-Dense-AI> opentargets-database
Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.
#data#database#editor
K-Dense-AI> pubchem-database
Query PubChem via PUG-REST API/PubChemPy (110M+ compounds). Search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics.
#backend#data#database
K-Dense-AI> reactome-database
Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies.
#backend#data#database
K-Dense-AI> string-database
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
#backend#data#database
K-Dense-AI> bindingdb-database
Query BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathogen. Essential for drug discovery, lead optimization, polypharmacology analysis, and structure-activity relationship (SAR) studies.
#data#database#performance
K-Dense-AI
> php-security
PHP security standards for database access, password handling, and input validation. Use when securing PHP apps against SQL injection, XSS, or weak password storage. (triggers: **/*.php, pdo, password_hash, htmlentities, filter_var)
#crypto#data#database
HoangNguyen0403> golang-security
Security standards for Go backend services. Use when implementing input validation, crypto, or SQL injection prevention in Go. (triggers: **/*.go, crypto/rand, sql, sanitize, jwt, bcrypt, validation)
#auth#backend#go
HoangNguyen0403> database-postgresql
Data access patterns, scaling, migrations, and ORM selection for PostgreSQL. (triggers: **/*.entity.ts, prisma/schema.prisma, **/migrations/*.sql, TypeOrmModule, PrismaService, PostgresModule)
#data#database#sql
HoangNguyen0403> nestjs-security-isolation
Standards for multi-tenant isolation and PostgreSQL Row Level Security. Use when enforcing tenant isolation or PostgreSQL RLS in NestJS multi-tenant apps. (triggers: src/modules/**, SECURITY.md, src/migrations/**, RLS, Row Level Security, childId, isolation, access policy)
#database#security#sql
HoangNguyen0403> golang-database
Standards for database interaction, connection pooling, and repository patterns in Golang. Use when implementing database access, connection pools, or repositories in Go. (triggers: internal/adapter/repository/**, database, sql, postgres, gorm, sqlc, pgx)
#data#database#go
HoangNguyen0403> laravel-testing
Automated testing standards with Pest and PHPUnit. Use when writing Pest or PHPUnit feature/unit tests in Laravel applications. (triggers: tests/**/*.php, phpunit.xml, feature, unit, mock, factory, sqlite)
#php#sql#testing
HoangNguyen0403
> database-schema-validator
Validates SQL schema files for compliance with internal safety and naming policies.
#audit#data#database
rominirani
> wp-plugin-security
Security guidelines for WordPress plugin development: sanitization, validation, escaping, nonces, capabilities, SQL injection prevention, XSS protection, and CSRF mitigation. Based on official WordPress Developer Resources.
#editor#php#security
fernandotellado
> database-design
Database schema design, optimization, and migration patterns for PostgreSQL, MySQL, and NoSQL databases. Use for designing schemas, writing migrations, or optimizing queries.
#crypto#data#database
MoizIbnYousaf
> supabase-postgres-best-practices
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
#data#database#design
guanyang
> sql-queries
Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring databases, or translating business questions into queries.
#data#database#gcp
phuryn> dummy-dataset
Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.
#data#python#sql
phuryn
> database-design
Designs database schemas, indexing strategies, query optimization, and migration patterns for SQL and NoSQL databases. Use when designing tables, optimizing queries, fixing N+1 problems, planning migrations, or when asked about database performance, normalization, ORMs, or data modeling.
#crypto#data#database
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