creating-opencode-agents
Expert guidance and configuration standards for creating specialized OpenCode AI agents, including YAML frontmatter, tool permissions, and operational modes.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
329 skills found
Expert guidance and configuration standards for creating specialized OpenCode AI agents, including YAML frontmatter, tool permissions, and operational modes.
Run, debug, and manage DBHub tests including unit, integration with Testcontainers, and database-specific suites. Perfect for verifying code changes and troubleshooting database connector issues.
Orchestrate multi-agent AI swarms using the ClawTeam CLI to automate parallel task execution, dependency management, and team collaboration with git worktree isolation and tmux support.
Master cross-language error handling patterns: exceptions, Result types, and graceful degradation for resilient application development.
Expert assistant for designing and optimizing production-grade Trigger.dev background jobs, AI workflows, and resilient asynchronous task architectures in TypeScript.
Advanced TypeScript development agent: implements complex types, generics, branded types, and tRPC integration for end-to-end type safety.
Search and execute dynamic external tools via the QVeris API for real-time data retrieval, stock market analysis, and web-based tasks.
Create and manage production-ready Grafana dashboards for observability, real-time metrics visualization, and system monitoring.
A comprehensive guide for using Bun as a high-performance alternative to Node.js. Supports project initialization, dependency management, script execution, and migration checklists.
Meta-skill for building, managing, and hot-reloading AnimaWorks Python external tools, including dispatchers, credential management, and permissions.
Open-source infrastructure for reliable, multi-destination event delivery. Route webhooks to HTTP, SQS, RabbitMQ, Pub/Sub, EventBridge, or Kafka with built-in retries and observability.
A structured API interface for the Swagger Petstore, optimized for AI agents to interact with resources like pets, users, and store orders using on-demand documentation loading.