Conciseness

The body is two functional lines — a maintenance comment and one directive ('Load and follow the shared skill at `~/.agents/skills/typesafe-ai/SKILL.md`') — with zero padding and no over-explanation. Not 4 because there are no instances of over-explanation to trim; every token present serves a purpose.

Actionability

The single directive names a specific file path, which is concrete, but the body provides no code, no commands, and no guidance for the skill's actual task — everything depends on an external file that does not resolve in this environment. Not 3 because there is no partially-complete concrete guidance, only a redirect; not 1 because the one instruction given is executable rather than an abstract description.

Workflow Clarity

No sequence or steps exist for the skill's actual task (building software with TypeSafe); the body contains only a single coherent redirect directive with no checkpoints or follow-up. Not 1 because the one directive present is unambiguous and no risky operation lacks validation; not 3 because there are no listed steps with implicit checkpoints — no steps at all beyond the redirect.

Progressive Disclosure

The body's sole reference ('~/.agents/skills/typesafe-ai/SKILL.md') is clearly signaled and one level deep, but the SKILL.md contains no overview content whatsoever and the reference points outside the bundle to a path that does not exist here. Not 4 because no content is placed anywhere in the bundle and the single reference is external and unverifiable; not 2 because the reference is not buried and nothing that belongs in a separate file is inlined.

Specificity

Lists several concrete capabilities — 'turn natural language and application state into typed judgments and probabilities that code can combine' and 'routing, ranking, extraction, verification, and interactive experiences' — though buzzword phrases like 'programmable common sense' and 'small units of AI intelligence' pad the concrete list. Not 5 because the named applications are categories rather than fully concrete operations and the fluff dilutes them; not 3 because coverage goes well beyond 1-2 actions.

Completeness

Explicitly answers both questions: the 'what' ('Build AI-powered software with TypeSafe... turn natural language and application state into typed judgments and probabilities that code can combine') and the 'when' via an explicit 'Use when' clause with three concrete trigger scenarios. Not 4 because the 'when' is already explicit and multi-triggered rather than merely present with room to be more specific.

Trigger Term Quality

Includes natural developer phrasing such as 'when an LLM prompt-and-parse step could become a structured decision' and 'when brainstorming what AI could make possible in an app', plus concrete application keywords (routing, ranking, extraction, verification). Not 5 because common synonyms like 'structured output' or 'classification' are absent and 'programmable common sense' is not a phrase users would naturally say; not 3 because keyword coverage is genuinely good with multiple natural trigger phrases.

Distinctiveness Conflict Risk

Product-specific framing (TypeSafe, System One, Jev) carves a clear niche with distinct typed-judgment triggers, but 'when brainstorming what AI could make possible in an app' is broad enough to overlap generic AI-assistance skills, and 'extraction'/'verification' are common application words. Not 5 due to that overlap risk with general LLM/brainstorming skills; not 3 because the niche and triggers are mostly distinct from neighboring skills.