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.
536 skills found
Expert guidance and configuration standards for creating specialized OpenCode AI agents, including YAML frontmatter, tool permissions, and operational modes.
Install and manage Codex agent skills from curated lists or GitHub repositories.
Operate the btca CLI for source-first code research. Manage git, local, and npm resources to ground AI answers in actual codebase context rather than outdated documentation.
Expert guide for kagent: the Kubernetes-native framework for building, deploying, and managing AI agents, MCP tools, and A2A protocols.
Production-grade observability stack featuring Prometheus metrics, Grafana dashboarding, PromQL query language, alerting rules, and AI-powered anomaly detection for cloud-native applications.
Standardize git remote configuration and issue tracking for contributors working with forked repositories in the libuipc project.
Build no-code MCP servers that orchestrate tools as directed graphs using YAML for data transformation, conditional routing, and automated workflows.
Automated high-quality VS Code screenshot capture using Playwright and serve-web for documentation, slide decks, and visual technical content.
An AI-powered TestOps platform and MCP server providing automated failure analysis, RCA matching, and intelligent test orchestration for CI/CD pipelines.
Run OpenResponses API compliance tests to validate schema adherence, streaming responses, and endpoint reliability for LobeHub integrations.
Systematic triage and reproduction workflow for investigating flaky CI test failures in Payload CMS repositories.
Discover and recommend combinations of agent skills to complete complex, multi-faceted tasks using Maximum Quality or Minimum Dependencies strategies.