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Found 551 Skills
Helium integration. Manage Organizations. Use when the user wants to interact with Helium data.
Discover and inspect Omni Analytics models, topics, views, fields, dimensions, measures, and relationships using the Omni CLI. Use this skill whenever someone wants to understand what data is available in Omni, explore their semantic model, find specific fields or views, check how tables join together, see what topics exist, or asks any variant of "what can I query", "what fields are available", "show me the model", "what data do we have", or "how is this data modeled". Also use when you need to understand the Omni model structure before building or modifying anything.
Use when configuring any n8n node: HTTP, webhooks, database, comms (Slack/Gmail/Discord), AI, triggers, Merge, anything. Triggers on any node-builder call (`node(...)`, `trigger(...)`, `tool(...)`, `memory(...)`, `languageModel(...)`, `ifElse(...)`, `merge(...)`, etc.), configuring a parameter, `useDataOfInput`, `numberOfInputs`, fan-in convergence, or any node-specific debugging.
Explore and investigate ideas before committing to a change. Trigger: When the orchestrator launches you to think through a feature, investigate the codebase, or clarify requirements.
Continuously question users about their plan or design. Suitable for scenarios where users want to stress-test their plan before building, or when using any "grill" trigger phrases.
Explore requirements and approaches through collaborative dialogue before planning implementation
Create, manage, and query Databricks Genie Agents — curated, per-data natural-language agents (formerly Genie Spaces): build, export/import, migrate across workspaces, and ask questions of a *specific* Agent via the Conversation API. For general data questions or finding data across your workspace, use databricks-data-discovery (Genie One) instead.
Create a plan collaboratively with the user, then convert the approved plan into a GitHub issue.
Use when researching technical approaches before building. Triggers on: "explore options", "what are my options for", "research approaches", "compare solutions", "dev explore", "generate proposals", "help me decide between". Runs parallel proposal generation via subagents and outputs to .codevoyant/explore/.
Explores a Spring Boot application and builds primary context: tech stack, module structure, domain entities, REST endpoints. Triggers on explicit requests: "explore project", "describe project", "project overview", "what is this project", "project structure", "tech stack", "give me context about the project", or whenever you need to understand the project before starting any task.
Load context for a task: read the spec/ticket, explore the codebase surface, and present the task context to the user. The user controls implementation.