The Action Company's agent skills and tools for data analysis and retrieval in Tableau.
Plugin tableau-analytics from marketplace the-action-co-plugins in Action-Co/skills. Commands read from the repo's manifest — 23 days ago.
query-tableau-dataUse this skill to query Tableau data sources using HTTP to answer business questions with trusted data. It helps you explore the data catalog and construct complex queries with aggregations, filtering, calculations and more. Do not use this skill to interact with live Tableau dashboards.
tableau-semanticsUse this skill to access a local semantic model for Tableau workbooks and datasources. This will accelerate your work with Tableau artifacts by providing a head start on understanding the schema, layout, fields, parameters, filters, and lineage of the artifacts before you touch it. These instruction
view-tableau-dashboardUse this skill to interact with live Tableau dashboards and views to retrieve trusted data from the visual interfaces that human users rely on for decision-making. It allows reading and applying filters, getting and setting parameters, retrieving data, and selecting marks programmatically by evaluat
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
Install the "AAS Data Analytics & Business Intelligence" workflow plugin from Agentic Awesome Skills.
16 skills
Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.
37 skills · 2 commands · hooks
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
1 MCP server
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
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