Agent Skills
Instruction packs that give your AI agent know-how. Three different kinds — pick the right one below.
✦ Standalone skills2,933
Self-contained. Install one into any project and it works on its own — no other software needed.
🧰 Tool add-ons725
Come bundled with a specific tool and only work together with it — they teach your agent how to operate that tool.
sql-optimization
✓★ 36,200by github
Universal SQL performance optimization across MySQL, PostgreSQL, SQL Server, Oracle, and other databases. Covers query analysis, index strategy design, subquery optimization, and JOIN tuning with before/after examples for each technique Addresses common anti-patterns including SELECT *, function calls in WHERE clauses, inefficient pagination, and correlated subqueries Provides database-agnostic guidance on batch operations, temporary tables, covering indexes, and partial indexes Includes...
render-deploy
✓★ 23,200by openai
Deploy applications to Render with Git-backed services or prebuilt Docker images via Blueprint or direct creation. Supports two deployment methods: Blueprint (Infrastructure-as-Code via render.yaml) for multi-service apps, and Direct Creation (MCP tools) for single services Analyzes codebases to determine runtime, build/start commands, environment variables, and required datastores (databases, Redis, cron jobs) Generates render.yaml configurations with automatic service type selection (web,...
golang-database
★ 2,400by samber
Comprehensive guide for Go database access — parameterized queries, struct scanning, NULLable columns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context propagation, and migration tooling. Use when writing, reviewing, or debugging Golang code that interacts with PostgreSQL, MariaDB, MySQL, or SQLite; for database testing; or for questions about database/sql, sqlx, or pgx. Does NOT generate database schemas or migration SQL.
django-perf-review
✓★ 844by sentry
Django performance code review. Use when asked to "review Django performance", "find N+1 queries", "optimize Django", "check queryset performance", "database…
django-perf-review
✓★ 844by sentry
Django performance code review. Use when asked to "review Django performance", "find N+1 queries", "optimize Django", "check queryset performance", "database…
profiling-tables
★ 397by astronomer
Comprehensive statistical and quality analysis of database tables with structured profiling output. Generates column-level statistics tailored to data type: min/max/percentiles for numeric columns, length metrics for strings, date ranges for timestamps Performs cardinality analysis to identify categorical vs. high-cardinality columns and detect skewed distributions Assesses data quality across five dimensions: completeness (NULL rates), uniqueness (duplicates), freshness (update timestamps),...
rivetkit
★ 16by rivet-dev
Long-lived, stateful compute for AI agents, multiplayer apps, and workflow automation. Actors are persistent in-memory processes that maintain state across requests without database round trips, with automatic scaling from zero to millions of concurrent instances. Built-in realtime communication via WebSockets and events, durable queues for ordered message processing, and SQLite for structured data queries. State persists across restarts and crashes through Rivet Cloud or self-hosted...
upstash-cli
✓★ 12by upstash
Run the Upstash CLI (`upstash`) against the Upstash Developer API for Redis, Vector, Search, QStash, and teams. Use when listing or managing databases,…
prisma-database-setup-prisma-postgres
✓★ 8by prisma
Prisma Postgres Setup
prisma-database-setup-mongodb
✓★ 8by prisma
MongoDB Setup. Reference when using this Prisma feature.