Conciseness

The body is mostly operational, but there is measurable fat: the Step 4 routing table and the trailing References table repeat the same 13 reference rows almost verbatim; the Version Compatibility section spends ~30 lines on a semver rule plus five worked examples (2.1.0 vs 2.2.0, 2.1.5, 3.0.0, 2.0.0) that Claude could apply from the rule alone; and security rules ('never print secrets', 'do not overwrite .env') are stated three times across Prerequisites, Step 3, and Security Best Practices. This fits 'mostly efficient but includes some unnecessary explanation or could be tightened' rather than the 'minor instances' of anchor 4.

Actionability

Nearly every section gives copy-paste-ready bash with expected output: the .env guard ('git check-ignore deploy/.env'), the conditional .env copy, 'curl -sf http://localhost:8000/health' with expected results, full Docker Compose example commands, and concrete diagnostics ('lsof -nP -iTCP:8000 -sTCP:LISTEN', 'docker exec aiq-postgres pg_isready -U aiq -d aiq_jobs'). The mode-selection script is given verbatim, including when not to ask it — the examples cover the common cases.

Workflow Clarity

A nine-step numbered workflow with a per-step heading, and validation is explicit with feedback loops: each command has expected output, failures route to references/troubleshooting.md with 'diagnose before claiming the backend is ready', the destructive operation ('docker compose down -v') is gated behind explicit user approval, and the port-conflict Common Issue closes the loop with a re-verify curl. This matches the anchor-5 shape (validate → fix → re-validate, only proceed when healthy).

Progressive Disclosure

The body is a genuine overview: detailed procedures are split across 13 one-level-deep reference files, all of which exist and are clearly signaled by a user-intent routing table ('Match the user request, then read the referenced file before acting'). It stops short of 5 because navigation is duplicated — the routing table and the References section list the same 13 rows — and the detailed Version Compatibility material (~30 lines of semver rules and worked examples) belongs in a reference file rather than the overview, fitting 'minor organization gaps'.

Specificity

The description lists six concrete actions ("install, deploy, run, validate, troubleshoot, or stop") applied to a named domain ("NVIDIA AI-Q Blueprint infrastructure"), which matches the 'several specific actions; minor gaps' anchor. It falls short of 5 because the actions are bare verbs over a generic object — it never states what the skill concretely does (prepare deploy/.env, start Compose services, run /health checks, hand off AIQ_SERVER_URL) and only names one runtime path in the separate compatibility block.

Completeness

Both halves are explicitly present: the verb list answers 'what' and "Use when asked to..." is an explicit 'when' clause, so this clears the anchor-4 bar ('when' explicit, one side could be more specific). It is not 5 because the 'what' is thin — the same six verbs serve double duty as triggers without stating the concrete outcome (a running, validated server handed off to aiq-research), and no trigger synonyms or extensions are given.

Trigger Term Quality

Natural user-facing terms are present ("install", "deploy", "run", "validate", "troubleshoot", "stop", "NVIDIA AI-Q Blueprint"), matching 'good keyword coverage; a few natural terms missing'. It is not 5 because common variations users would actually say — 'set up', 'launch', 'restart', 'shut down', 'health check', 'Docker', 'Kubernetes' — are absent from the description itself.

Distinctiveness Conflict Risk

"NVIDIA AI-Q Blueprint infrastructure" carves out a clear niche, and the verb set — including lifecycle bookends like "stop" and "troubleshoot" — scopes it explicitly away from sibling skills such as deep research/report generation. Minimal conflict risk.