Conciseness

Multiple padded sections restate what Claude already knows: a generic input-length check, a try/catch JSON.parse with regex fallback, a quality-control table of obvious techniques ("Validation | Catch malformed responses", "Retry logic | Handle failures"), anti-patterns that are common business sense ("Users just use ChatGPT. No pricing power."), a capabilities list that is just topic names, and the persona paragraph duplicated verbatim from the frontmatter. Time-sensitive model IDs and per-token rates (claude-3-haiku-20240307, a 2024 price table) are inlined with no deprecated/old-patterns framing, which further penalizes. This matches anchor 2 ("Noticeably verbose; several unnecessary explanations or padded sections"); not 1 because a minority of sections (cost tracking, usage limits) do carry non-obvious specifics.

Actionability

There is real, mostly-executable JavaScript (generateContent, promptTemplates, parseAIOutput, calculateCost, checkUsageLimits), but key details are missing — parseOutput, db, getUserLimits, startOfMonth are never defined, calculateCost hard-codes a single model's rates, and the fenced markdown is badly broken (e.g. ```python opened at line 37 wraps markdown headers, nested ```javascript fences at lines 104-108 and 167-171, and a stray fence at line 96 swallows the Model Selection table and following headers into code blocks). This matches anchor 3 ("Some concrete guidance but incomplete; missing key details"); it cannot be 4 because the broken fences and pervasive undefined dependencies are more than minor gaps.

Workflow Clarity

The Wrapper Stack diagram provides a sequence that names validation stages ("Input Validation + Sanitization" → "Output Parsing + Validation") but never gives checkpoints or failure handling for those stages, and the skill is organized as topical patterns rather than an ordered process. This matches anchor 3 ("sequence present but checkpoints missing or implicit"); not 2 because validation is at least explicitly present in the flow, and not 4 because no step tells Claude what to do when validation or an API call fails (the Sharp Edges table points to "## Handling Rate Limits" / "## Handling Hallucinations" sections that do not exist in the file).

Progressive Disclosure

The body is a single ~280-line file with reasonable section headers (Patterns, Anti-Patterns, Sharp Edges) but all reference-style material inlined — model comparison tables, rate tables, prompt templates — and no bundle files exist to offload it. This matches anchor 3 ("Some structure but could be better organized; content that should be separate is inline"); not 4 because there are no one-level-deep reference files at all and the broken fences make navigation unreliable, and not 2 because sections are clearly labeled and the content is not an undifferentiated wall.

Specificity

The description is entirely second person ("You build products where AI is the engine, not the gimmick", "You balance costs with user experience", "You create AI products people actually pay for") and its actions are generic ("build products", "balance costs", "create AI products") with no concrete verbs — matching anchor 2 ("Names the domain but actions are minimal or generic"), then reduced by 1 for the second-person voice per the judging guideline. The result would drop below 1 if further penalized, so it sits at the scale minimum.

Completeness

The 'what' is vague philosophy ("AI is the engine, not the gimmick", "prompt engineering is product development") rather than stated capabilities, and the 'when' is entirely absent — no "Use when..." clause or equivalent trigger guidance exists, which also caps completeness at 3 per the guidelines. This matches anchor 2 ("Has a vague 'what' and no 'when'"); it cannot be 3 because the 'what' never names concrete actions, and cannot be 1 because the domain and intent are at least identifiable.

Trigger Term Quality

It contains some relevant natural keywords ("AI wrappers", "AI products", "prompt engineering", "costs") a user might say, but misses common variations and synonyms ("GPT wrapper", "LLM app", "chatbot", "AI SaaS"). This matches anchor 3 ("Some relevant keywords but missing common variations or synonyms"); it is above 2 because several genuinely natural domain terms are present, and below 4 because coverage is sparse and mixed into persona prose.

Distinctiveness Conflict Risk

The AI-wrapper/AI-product niche is somewhat specific, but the description overlaps with adjacent skills the body itself lists (`llm-architect`, `micro-saas-launcher`) and with generic product-building skills. This matches anchor 3 ("Somewhat specific but could still overlap with similar skills"); not 4 because no distinct trigger phrases mark out this skill from close neighbors, and not 2 because the AI-wrapper framing does narrow the scope.