configuring-connection-pools
Optimizes Prisma Client connection pool settings for production databases, serverless environments, and high-concurrency architectures to prevent connection exhaustion and performance bottlenecks.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
506 skills found
Optimizes Prisma Client connection pool settings for production databases, serverless environments, and high-concurrency architectures to prevent connection exhaustion and performance bottlenecks.
A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.
Techniques for writing effective fuzzing harnesses across languages. Use when creating new fuzz targets or improving existing harness code.
Analyze C++ code for real-time safety violations including heap allocations, locks, blocking calls, and non-deterministic operations in high-performance audio threads.
Generate, maintain, and validate OpenAPI 3.1 specifications for RESTful APIs. Streamline documentation, SDK generation, and contract compliance.
A framework for creating, iterating, and managing reusable evolving workflows that combine structured documentation with custom Python automation tools.
Interact with GitHub via the gh CLI to manage issues, pull requests, workflow runs, and execute advanced API queries programmatically.
Agent assignment matrix, blocker escalation, and TDM coordination patterns for multi-agent software workflows.
Automate WordPress content publishing with draft workflows, media library integration, and native Hebrew/RTL support.
Resume a paused experimental loop by restoring branch context, loading configuration, reading history, and identifying optimization patterns for continued iteration.
Generates UI components, hero sections, and feedback forms with integrated accessibility checks, leveraging specialized design references and quality gates.
Discover and configure Redpanda Connect components like inputs, outputs, and processors to build efficient streaming data pipelines.