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Systematically build and refine patient cohorts from CDW clinical data
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Built-in self-knowledge about Biorouter. Load this skill whenever the user asks about Biorouter itself: what it is, how it works, who built it, or how to use or configure any of its features (extensions, skills, workflows, scheduler, knowledge bases, models and providers, secrets, CLI, or the desktop app).
Guide for building a Biorouter extension (.brxt file) — covers the required ZIP structure, manifest.json schema, the Python MCP server (pyproject.toml + console-script entry point), cross-platform dependency pitfalls, and optional bundled skills. Load this skill whenever the user wants to build, package, or publish a Biorouter extension.
Guide for authoring a high-quality Biorouter skill — the SKILL.md format and frontmatter, how Biorouter discovers and loads skills, writing a description that triggers reliably, progressive disclosure with supporting files, composing with subagents/workflows/hooks, testing for consistency and robustness, and packaging a skill as a zip. Load this skill whenever the user wants to create, write, improve, test, or publish a Biorouter (or Claude) skill.
Explore the CDW clinical schema, tables, and column relationships
Traverse the SPOKE biomedical knowledge graph to find entity relationships
Query the OMOP CDM to identify patient phenotypes and clinical concepts
| name | cdw-query-cohorts |
| description | Systematically build and refine patient cohorts from CDW clinical data |
Use this skill when the user wants to identify a group of patients based on clinical criteria (diagnoses, medications, lab results, procedures, encounter types).
CDW-get_available_tables to identify relevant tablesCDW-explore_table_schema on candidate tablesCDW-execute_cdw_query