Conciseness

Dense and expert-level with no padding about what MPS or TextGen is, but the model-creation prerequisite (aspect ID `textGen`, case-sensitive, no `@` suffix, the three used languages) is repeated nearly verbatim in the intro paragraph and again expanded in step 1 — a minor trim candidate. Not 5 because of that duplication; not 3 because every line earns its place.

Actionability

Concrete, specific tool calls with parameters ("mps_mcp_create_model with modelName: '<lang>.textGen'", "mps_mcp_insert_root_node_from_json", "mps_mcp_check_root_node_problems") and exact used-language FQNs, but the actual executable AST/JSON shapes are deferred to references/json-blueprints.md rather than shown inline — a minor gap. Not 5 because the copy-paste-ready insert payload lives in a reference; not 3 because the named tool calls are themselves concrete commands.

Workflow Clarity

A clear six-step sequenced Common-Path Workflow with an explicit validation step (step 6: validate via check_root_node_problems, rebuild, regenerate, inspect) and a stated failure mode in step 1, but the validate→fix→retry feedback loop is delegated to common-failures.md rather than stated inline. Not 5 because the error-recovery loop is referenced out; not 3 because validation is explicitly present (so the destructive/batch cap does not apply).

Progressive Disclosure

The body is a genuine overview that points to a well-signaled, one-level-deep Reference Index ("Open references/X.md when Y") covering seven reference files organized for discovery, with Related Skills listed separately — matching the highest anchor for clear overview plus easy navigation. No bundle files are present in this review copy, so the score reflects the disclosure structure as written.

Specificity

Lists multiple concrete constructs and actions — "ConceptTextGenDeclaration roots", "append / indent buffer / with indent statements", "text layout areas", "context objects", "binary write", "found error", "the indentation-buffer model" — giving comprehensive coverage of the skill's surface area.

Completeness

Explicitly answers both what ("concept-to-plain-text serialisation for languages whose final output is text") and when with two concrete trigger clauses ("Use when authoring or debugging..." and "Reach for this skill whenever..."), satisfying the highest anchor.

Trigger Term Quality

Natural trigger phrases an MPS user would actually say ("authoring or debugging MPS TextGen", "Reach for this skill whenever the task involves editing `<lang>/languageModels/textGen.mps`") plus file-type synonyms and extensions ("source files, config, scripts, DDL, XML, markdown").

Distinctiveness Conflict Risk

A tightly scoped MPS TextGen-aspect niche with distinct triggers and minimal overlap risk; the "final output is text" framing cleanly separates it from the model-to-model generator aspect.