Conciseness

Mostly lean 24-line router with no concept padding, but the read-the-file directive is stated three times ('Read [ts/skill.md](ts/skill.md) — then follow ALL instructions in that file', 'you MUST read the corresponding skill file above', 'Do NOT proceed with any code generation until you have read it'). Not 5 because the IMPORTANT block restates Step 2 and could be trimmed to one emphatic instruction; not 3 because everything else earns its place.

Actionability

Fully concrete for an instruction-only router: a signal-to-language decision table with an explicit default ('No clear signal | **TypeScript**'), exact linked paths ('Read [ts/skill.md](ts/skill.md)'), and a mandatory default rule ('TypeScript must be enforced'). Not 4 because the routing action is unambiguous and complete with no gaps in the guidance as written.

Workflow Clarity

The two-step sequence (Step 1: Determine Language, Step 2: Read the Language-Specific Skill File) is numbered and unambiguous, with an explicit proceed-gate ('Do NOT proceed with any code generation until you have read it'). As a simple single-purpose skill whose actions are clear, it meets the top anchor; no destructive or batch operations apply.

Progressive Disclosure

The router design is exemplary on paper — everything delegates one level deep via clearly signaled links to ts/skill.md and py/skill.md with a description of their contents ('self-contained with its own quick start, routing table, deployment instructions, and adapter guides') — but the bundle contains none of these files (no ts/, py/, references/, scripts/, or assets/ directories exist), so the skill's sole navigation targets are missing. Not 4 because broken core references are more than a minor organization gap, and unlike sibling skills ('If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin') there is no missing-file fallback for the language files; not 2 because the references that are given are clearly signaled and nothing inappropriately inlined.

Specificity

Lists multiple concrete actions — 'Build and deploy AI agents with CloudBase Agent SDK (TypeScript & Python)', 'Implements the AG-UI protocol for streaming agent-UI communication', 'building custom adapters', 'building web/mini-program UI clients' — plus concrete package names ('@cloudbase/agent-server', 'cloudbase-agent-server via FastAPI'). Not 4 because coverage spans build, deploy, adapters, protocol events, and UI clients with no obvious gaps; third-person voice throughout ('Implements', 'Supports').

Completeness

Explicitly answers both 'what' ('Build and deploy AI agents with CloudBase Agent SDK... Implements the AG-UI protocol for streaming agent-UI communication') and 'when' with a concrete 'Use when' clause enumerating five trigger scenarios. Clearly matches the top anchor: concrete trigger phrases attached to an explicit use-when clause.

Trigger Term Quality

Natural trigger phrases like 'deploying agent servers', 'LangGraph/LangChain/CrewAI adapters', 'AG-UI protocol events', and 'building web/mini-program UI clients' match what a user of this SDK would actually say. Not 5 because a few natural variations (e.g., 'chat UI', 'agent frontend', 'streaming responses') are absent; not 3 because the included terms are natural and domain-specific rather than generic.

Distinctiveness Conflict Risk

The CloudBase Agent SDK / AG-UI protocol niche is clearly staked out and unlikely to collide with unrelated skills, but triggers like 'using LangGraph/LangChain/CrewAI adapters' could overlap with general LangChain/LangGraph skills when a user mentions those frameworks without CloudBase context. Not 5 due to this minor overlap risk with closely related agent skills; not 3 because the primary niche terms (CloudBase, AG-UI) are highly distinctive.