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.
473 skills found
Expert guidance and configuration standards for creating specialized OpenCode AI agents, including YAML frontmatter, tool permissions, and operational modes.
Controls a local or remote headless browser for automated web navigation, data extraction, form interaction, and testing from sandboxed environments.
Production-grade Playwright testing toolkit. Automate E2E testing, fix flaky tests, perform migrations from Cypress/Selenium, and integrate with CI/CD, TestRail, and BrowserStack.
Guidance and operational tips for identifying, reviewing, and managing pull requests created by the GitHub Copilot coding agent within your repository.
Fetch, index, and search developer documentation from GitHub and websites to provide AI agents with accurate, grounded, and version-specific code context.
Automate frontend API integration using Apidog and MCP servers. Generate TypeScript types, TanStack Query hooks, and axios-based clients from OpenAPI specifications for consistent, type-safe API consumption.
Architectural guidance and pattern implementation for Java Spring Boot backends, covering REST API design, JPA, caching, async processing, and logging.
Parses and processes SARIF files from static analysis tools. Enables aggregation, deduplication, filtering, and CI/CD integration of scan results.
Streamline continuous fuzzing for open-source projects using the OSS-Fuzz CLI framework to build harnesses, manage configurations, and generate coverage reports.
Audit AI skills for security vulnerabilities including prompt injection, hidden instructions, tool misuse, and data exfiltration risks.
Automate quality observability with DORA metrics, defect density tracking, and intelligent quality gate configuration for continuous delivery pipelines.
Design modular TypeScript libraries using HexDI principles: compile-time dependency validation, feature-first organization, and clean API boundaries.