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Found 6,012 Skills
Expert Celery distributed task queue engineer specializing in async task processing, workflow orchestration, broker configuration (Redis/RabbitMQ), Celery Beat scheduling, and production monitoring. Deep expertise in task patterns (chains, groups, chords), retries, rate limiting, Flower monitoring, and security best practices. Use when designing distributed task systems, implementing background job processing, building workflow orchestration, or optimizing task queue performance.
Automate Chrome browser tasks using agent-browser CLI. Navigate pages, fill forms, click buttons, take screenshots, extract data, and replay recorded workflows — all inside the user's real Chrome session.
Confluence integration. Manage document management data, records, and workflows. Use when the user wants to interact with Confluence data.
Dispatch a swain artifact to a GitHub Actions runner for autonomous implementation via Claude Code Action. Creates a GitHub Issue with the artifact content and triggers the workflow for background execution. Use when the user says 'dispatch', 'send to background agent', 'run this autonomously', 'GitHub Actions', or wants to hand off a SPEC for autonomous implementation.
Mirantis integration. Manage data, records, and automate workflows. Use when the user wants to interact with Mirantis data.
Guide for creating effective opencode skills. Use for creating or updating skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Examples: - user: "Create a skill for git workflows" → define SKILL.md with instructions and examples - user: "Add examples to my skill" → follow the user: "query" → action pattern - user: "Update skill description" → use literal block scalar and trigger contexts - user: "Structure a complex skill" → organize with scripts/ and references/ directories - user: "Validate my skill" → check structure, frontmatter, and discovery triggers
Create and scaffold new skills with proper frontmatter, directory structure, and validation. Use when the user asks to build a new capability, integrate a new API, or extend the system with a repeatable workflow.
Run the full spec-driven workflow automatically. Proposes, implements, verifies, reviews, and archives a change with one mandatory proposal checkpoint plus any extra confirmations required by blocking conditions.
Instana integration. Manage data, records, and automate workflows. Use when the user wants to interact with Instana data.
Design, build, run, and test Restate durable services, virtual objects, workflows, and AI agents across TypeScript, Python, Java, and Go. This skill should be used when the user mentions "restate", "durable execution", "virtual object", "restate service", "restate workflow", or "durable agent" or wants to build resilient backend services, AI agents, or workflows with automatic failure recovery. Also use when converting existing applications or migrating from workflow orchestrators to Restate. Use proactively when a project contains restate dependencies in package.json, requirements.txt, pyproject.toml, pom.xml, build.gradle, or go.mod.
Terra integration. Manage data, records, and automate workflows. Use when the user wants to interact with Terra data.
Router skill for LLMQuant market-intelligence workflows. Use when the user needs macro views, market sentiment dashboards, or event probability signals.