Conciseness

The body is mostly tight (routing tables, one-line anti-patterns), but the 'Required Reading by Area' table restates the file column of the 'Area Routing' table (~25 duplicated lines), and the ~70 lines of Core Principles and Anti-patterns inline guidance that the file's own 'thin index' philosophy says lives in rules/*.md — more than the 'minor instances' an anchor-4 allows, though far from the padding of anchor 2.

Actionability

Guidance is concrete and executable in form: exact file paths, a literal 'Mode: review / Areas: … / Targets: src/agents/triage.ts (system prompt at L24-78)' output block, a What/Rule/Fix findings format with 'path:line' and 'code snippet when ≤ 10 lines', and named Skill() invocations ('Skill("otel-instrumentation", …)'). Not 5 because no example finding or filled template is shown, and the load-rules steps depend on files absent from the bundle; not 3 because within the body every step is specific rather than pseudocode.

Workflow Clarity

Each of the three modes has a numbered sequence with checkpoints: 'State the detected mode and the area(s) in scope before continuing', a 'Definition of Done' checklist, a 'Top 3 fixes' prioritization step, and the consent guardrail 'Do not edit the file in review mode unless the user asks for fixes' — plus an error-recovery fallback ('If neither skill is in the available-skills list, fall back to the inline guidance'). Not 5 because there is no mid-workflow verification that the loaded rules actually cover the target, and the OTEL fallback is the only recovery path.

Progressive Disclosure

The design is anchor-5 quality — 'This SKILL.md is a thin index. Detailed rules live in rules/*.md and load on demand' with well-signaled one-level-deep links — but scored against the actual bundle, 15 of the 17 referenced paths (all 13 rules/*.md and all 4 templates/*.md) do not exist; only references/primary-sources.md and references/recent-changes.md are present. The on-demand loading pattern the whole skill depends on cannot function as delivered, which is at least as severe as anchor 3's 'references present but not clearly signaled'.

Specificity

'Reviews and guides LLM/AI application engineering — prompts, caching, RAG, agent loops and tools, resilience, model migration, evals, prompt-injection defence, and observability' names a comprehensive set of capability areas, but the actions themselves are the generic pair 'reviews'/'guides' rather than multiple distinct concrete verbs like the anchor-5 'extract, fill forms, merge' pattern — several specific actions with minor gaps.

Completeness

Both halves are explicit: what = 'Reviews and guides LLM/AI application engineering — [nine areas]', and when = 'Invoke with /ai-engineering for "review my prompt", "set up RAG", or "write evals"'. Not 5 because the concrete trigger phrases cover only 3 of the nine enumerated areas — a user asking about retries, model migration, or tracing gets no trigger cue — which is exactly anchor 4's 'when could be more explicit or specific'.

Trigger Term Quality

Natural user phrasings are present verbatim ('review my prompt', 'set up RAG', 'write evals') alongside strong keywords (RAG, evals, caching, agent loops, model migration). Not 5 because common synonyms users would say are missing — 'retrieval', 'guardrails', 'tracing', 'token cost', 'structured outputs' — leaving a few natural terms uncovered.

Distinctiveness Conflict Risk

It claims a clear niche — LLM/AI application engineering across prompts, RAG, agents, evals, resilience, and observability — with unambiguous triggers ('review my prompt', 'set up RAG') that no adjacent skill (PDF work, general code review, commit messages) would claim; conflict risk is minimal.