Loading...
Loading...
Found 1,195 Skills
Review code for performance: complexity, database/query efficiency, I/O and network cost, memory and allocation behavior, concurrency contention, caching, and latency/throughput regressions. Cognitive-only atomic skill; output is a findings list.
Prisma-to-Zod schema generator with composable Query Engine. Use when user mentions zodipus, prisma zod schemas, prisma validation, zod from prisma, query builders with zod, runtime database validation, or type-safe prisma queries.
This skill should be used when the user asks to "query records", "GlideRecord", "database query", "get records", "update records", "insert record", "delete record", or any ServiceNow database operations.
Official PostgreSQL Model Context Protocol Server for database interaction.
Comprehensive, standardized error response system for PHP REST APIs with SweetAlert2 integration. Use when building REST APIs that need consistent error formatting, specific error message extraction from database exceptions, validation error handling, and seamless frontend integration. Includes PDOException parsing, business rule extraction, and complete SweetAlert2 error display patterns.
Deploy and configure your PayRam self-hosted crypto payment gateway server. Install on VPS, set up PostgreSQL database, configure root account, node details, wallets, and hot wallets. Complete deployment and onboarding in under 10 minutes. No signup required — fully self-hosted. Use when deploying PayRam for the first time, setting up server infrastructure, or configuring the PayRam dashboard.
Extract and process energy data from BSEE (Gulf of Mexico) and SODIR (Norway) regulatory databases
Load PROACTIVELY when task involves building a complete feature across multiple layers. Use when user says "build a feature", "add user profiles", "create a dashboard", or any request spanning database, API, UI, and tests. Orchestrates multi-agent work sequentially: schema and migrations, API endpoints, UI components, tests, and review. Handles dependency ordering and cross-layer type sharing.
Complete knowledge domain for Cloudflare D1 - serverless SQLite database on Cloudflare's edge network. Use when: creating D1 databases, writing SQL migrations, configuring D1 bindings, querying D1 from Workers, handling SQLite data, building relational data models, or encountering "D1_ERROR", "statement too long", "too many requests queued", migration failures, or query performance issues. Keywords: d1, d1 database, cloudflare d1, wrangler d1, d1 migrations, d1 bindings, sqlite workers, serverless database, edge database, d1 queries, sql cloudflare, prepared statements, batch queries, d1 api, wrangler migrations, D1_ERROR, D1_EXEC_ERROR, statement too long, database bindings, sqlite cloudflare, sql workers api, d1 indexes, query optimization, d1 schema
Comprehensive data validation using Pydantic v2 with data quality monitoring and schema alignment for PlanetScale PostgreSQL. Use when implementing API validation, database schema alignment, or data quality assurance. Triggers: 'validation', 'Pydantic', 'schema', 'data quality'.
Use this agent when you need to perform security audits, vulnerability assessments, or security reviews of code. This includes checking for common security vulnerabilities, validating input handling, reviewing authentication/authorization implementations, scanning for hardcoded secrets, and ensuring OWASP compliance. <example>Context: The user wants to ensure their newly implemented API endpoints are secure before deployment.\nuser: "I've just finished implementing the user authentication endpoints. Can you check them for security issues?"\nassistant: "I'll use the security-sentinel agent to perform a comprehensive security review of your authentication endpoints."\n<commentary>Since the user is asking for a security review of authentication code, use the security-sentinel agent to scan for vulnerabilities and ensure secure implementation.</commentary></example> <example>Context: The user is concerned about potential SQL injection vulnerabilities in their database queries.\nuser: "I'm worried about SQL inj...
Connect Spice to data sources and query across them with federated SQL. Use when connecting to databases (Postgres, MySQL, DynamoDB), data lakes (S3, Delta Lake, Iceberg), warehouses (Snowflake, Databricks), files, APIs, or catalogs; configuring datasets; creating views; writing data; or setting up cross-source queries.