qlik-cloud-mcp
Capability registry for the Qlik Cloud MCP server. Maps MCP tools to pipeline phases, provides MCP detection patterns, documents behavioral gotchas not covered by tool definitions, and defines multi-step workflows for expression validation, reference app analysis, visualization scaffolding, and data quality checks. Load whenever an agent needs to interact with a live Qlik Cloud tenant. The tool definitions themselves document parameters, response structures, and basic usage -- this skill covers framework integration, sequencing, and pitfalls discovered through live testing.
Install
With your agent
Install OMGSkills skill "pupfish-llc/qlik-agents:skills/qlik-cloud-mcp" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/Pupfish-LLC/qlik-agents /tmp/qlik-agents && ln -s /tmp/qlik-agents/skills/qlik-cloud-mcp ~/.claude/skills/qlik-cloud-mcpFrom README
Qlik Cloud MCP — Capability Registry What This Skill Covers (and What It Doesn't) The MCP tool definitions (visible to every agent at invocation time) already document each tool's parameters, response structures, examples, and basic notes. This skill does NOT repeat that information. This skill covers: MCP detection — how agents determine MCP availability and branch Pipeline phase mapping — which tools are relevant at which phase Behavioral gotchas — issues discovered through live testing that go beyond the tool definitions (see references/behavioral-notes.md for the full list) Workflow patterns — multi-step tool call sequences for common operations Framing — what the MCP server can and cannot do, to prevent incorrect assumptions What the Qlik Cloud MCP Server IS and IS NOT IS: The Qlik Cloud platform API exposed through MCP. It operates on data and objects already in Qlik Cloud: apps, datasets in the catalog, master items, sheets, glossaries, data products, and lineage metadata.
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