Loading...
Loading...
Found 1,409 Skills
Security review for Go applications: input validation, SQL injection, authentication/authorization, secrets management, TLS, OWASP Top 10, and secure coding patterns. Use when performing security reviews, checking for vulnerabilities, hardening Go services, or reviewing auth implementations. Trigger examples: "security review", "check vulnerabilities", "OWASP", "SQL injection", "input validation", "secrets management", "auth review". Do NOT use for dependency CVE scanning (use go-dependency-audit) or concurrency safety (use go-concurrency-review).
Diagnose, compare, and optimize Apache Spark applications and SQL queries using Spark History Server data. Use this skill whenever the user wants to understand why a Spark app is slow, compare two benchmark runs or TPC-DS results, find performance bottlenecks (skew, GC pressure, shuffle spill, straggler tasks), get tuning recommendations, or optimize Spark/Gluten configurations. Also trigger when the user mentions 'diagnose', 'compare runs', 'why is this query slow', 'tune my Spark job', 'benchmark comparison', 'performance regression', or asks about executor skew, shuffle overhead, AQE effectiveness, or Gluten offloading issues.
Database operations for SQLite and PostgreSQL. Use when: user needs to query databases, run migrations, backup data, or perform admin tasks.
Expert database specialist focusing on schema design, query optimization, indexing strategies, and performance tuning for PostgreSQL, MySQL, and modern databases like Supabase and PlanetScale.
Select and use PyGraphistry connector and plugin workflows for graph databases, SQL/data platforms, SIEM/log sources, and layout/compute plugins. Use when requests involve Neo4j/Neptune/Splunk/Kusto/Databricks/SQL/TigerGraph and similar integrations.
Query MaxCompute (ODPS) Information Schema metadata views. Tenant-level (SYSTEM_CATALOG.INFORMATION_SCHEMA.*, recommended) or project-level (Information_Schema.*, deprecated). NL→SQL for IS views: tables, columns, partitions, tasks_history, tunnels_history, table_privileges, users, user_roles, quota_usage, etc. NOT for: DDL/DML, listing tables via MCP, running ad-hoc SQL, general MaxCompute questions.
Use the Data Analysis Agent to perform natural language business analytics, auto-generate SQL queries, create visualizations, and produce business insights from Excel/CSV/databases
Create Databricks AI/BI dashboards. Must use when creating, updating, or deploying Lakeview dashboards as Databricks Dashboard have a unique json structure. CRITICAL: You MUST test ALL SQL queries via CLI BEFORE deploying. Follow guidelines strictly.
Use when reviewing PL/SQL - a changed procedure or package, a proposed file, or an object suspected of causing trouble. Combines the database's own correctness signals with the antipattern checklist, and reports findings anchored to line numbers.
Guide for configuring Infisical Secret Rotation — automatically rotating credentials that already exist in a third-party system on a fixed interval, writing the new values back into Infisical secrets. Covers all 28 rotation providers (PostgreSQL, MySQL, MSSQL, OracleDB, MongoDB, Redis, AWS IAM user secrets, Azure/Okta/Auth0 client secrets, LDAP passwords, Unix/Linux and Windows local accounts, Cloudflare, Datadog, Snowflake key pairs, OpenAI/OpenRouter/LiteLLM/Fireworks API keys, and more), the dual-phase vs single-phase rotation models, rotation intervals and rotateAtUtc scheduling, parameters and secretsMapping, and the two-user pattern for SQL databases. Use this skill when someone asks about: secret rotation, rotating credentials, automatic credential rotation, rotating a database password on a schedule, expiring API keys, rotationInterval, or 'how do I rotate my database password automatically'. For changing an EXISTING credential on a timer. Not for creating brand-new ephemeral credentials per request (infisical-dynamic-secrets), nor for App Connection credential rotation (infisical-app-connections).
Translates Snowflake dbt SQL models to Standardized BigQuery SQL. Handles SQL compilation, Jinja macro placeholder masking, BigQuery Translation Service migration workflows, AST-based config transformations, explicit type casting, JSON extraction standardization, and deduplication. Use when migrating Snowflake dbt pipelines or models to Google Cloud BigQuery. Don't use for generic BigQuery queries or non-Snowflake SQL migrations.
Drizzle ORM for TypeScript — type-safe SQL queries, schema definitions, migrations, and relations. Use when building database layers in TypeScript applications.