By yu-iskw
Lightdash AgentOps plugin for building, managing, and autonomously tuning AI agents.
Inspection of thread history, memory, and organization-wide agent activity.
CRUD operations for Lightdash project agents.
Orchestrate evaluation runs and test case management for Lightdash agents.
Uses power tools
Uses Bash, Write, or Edit tools
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
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Agent skills and subagents for automating GitHub issues, project boards, and workflows using the GitHub CLI.
Agent skills for adopting and tuning sqlfluff-complexity CPX rules in SQLFluff and dbt projects.
Agent team plugin for software development with 3-tier pipeline: Plan → Research/Orchestrate → Parallel execution. Provides 11 specialized agents (planner, orchestrator, product-manager, designer, software-engineer, code-reviewer, qa, sre-devops, security, legal-compliance, researcher) and 11 matching skills for collaborative development workflows.
Lightdash Content Administration plugin for managing spaces, charts, and dashboards within a project.
Lightdash Development plugin for semantic layer modeling (dbt YAML, metrics, dimensions).
npx claudepluginhub yu-iskw/dbt-heroes --plugin lightdash-agentopsExplore, query, model, embed, and manage Omni Analytics through the REST API and embed SDK. Includes 9 skills, 3 specialized agents, and 3 context rules for model exploration, querying, model building, content browsing, content building, embedding, AI optimization, AI eval, and administration.
Skills for analytics engineering with dbt — building models, writing tests, querying the semantic layer, troubleshooting jobs, and more.
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Connect to Looker and interact with your data using LookML.
Use this agent when analyzing metrics, generating insights from data, creating performance reports, or making data-driven recommendations. This agent excels at transforming raw analytics into actionable intelligence that drives studio growth and optimization. Examples:\n\n<example>\nContext: Monthly performance review needed
dbt data transformation toolkit for model building, testing, and documentation. Includes dbt architect agent for strategic data modeling decisions.