Skill: Connect

One-step, idempotent Dataverse connection. Each step checks if it's already done and skips.

Environment-First Rule — All metadata and plugin registrations are created in the environment via API/scripts, then pulled into the repo. Never hand-write solution XML to create components.

Execute steps in order; do not skip ahead. Exception: Step 0 can short-circuit the flow if the workspace is already set up.

Host entry test (FIRST — before Step 0). A local Windows/macOS host is capable by default, whichever agent drives it — it can run the CLIs, use persistent credentials, and host local MCP servers; an approval/sandbox gate isn't a constraint, and a missing CLI = install it. Constrained only when a runtime can't start, auth can't persist, or the host is explicitly ChatGPT Work Mode / Codex cloud / CI / no-keyring Linux (deterministic table: headless-hosts.md). Constrained → install only Python + pip deps, .env, scripts/auth.py, verify python scripts/auth.py --check, skip CLI / PAC / MCP. Capable → normal flow below.

Step 0: Detect existing setup (run this first)

Before touching anything, check whether this workspace is already connected to a Dataverse environment. Repeating setup on an already-configured workspace overwrites .env, re-registers MCP, and wastes time.

Run these checks in order. If all four pass, skip straight to Step 7 (final verification) and stop there.