Conciseness

The body never explains concepts Claude already knows (no 'what is a cloud function' filler), but it systematically repeats its own rules: the three legal createModel values appear in the STOP section, again in 'Available Providers and Models', and a third time in Best Practice #3; 'never assume a model is enabled' is restated in the decision procedure, preflight ②, the providers section, and Best Practices #1–2, which re-narrate the entire preflight. This fits 'mostly efficient but includes some unnecessary explanation or could be tightened' better than level 4 ('minor instances that could be trimmed') because the redundancy spans several sections, but better than level 2 since the padding is rule reinforcement rather than conceptual over-explanation.

Actionability

Guidance is fully executable throughout: exact MCP invocations with parameters ('callCloudApi(service="tcb", action="DescribeAIModels", params={ EnvId })'), explicit pass conditions ('postpayPackageId starts with pkg_tcb_tokencredits_', 'status is NOT in [3, 4]'), copy-paste-ready code for createModel/generateText and tcb.init, a concrete UpdateAIModel payload with the full-replacement Models[] shape, numeric timeout ranges (60–120 s text, 900 s image), and a purchase URL to surface on failure. This matches 'fully executable; copy-paste ready code or commands; specific examples cover the common cases' — nothing remains at the pseudocode or high-level-hint level.

Workflow Clarity

The two-step preflight is a clearly sequenced workflow (Step 0 → ① eligibility → ② group readiness) with explicit validation checkpoints (inspect AIModelGroups[].Models[] before any createModel, confirm exact Model spelling via DescribeManagedAIModelList) and feedback loops for error recovery: ❌ on the resource pack → stop and surface the purchase link; missing model → enable via UpdateAIModel then re-check; InvalidParameter → fall back to camelCase and 'trust the live response'. This matches 'clear sequence with explicit validation steps; feedback loops for error recovery' — above level 4, where some checkpoints would be implicit.

Progressive Disclosure

SKILL.md keeps the decision logic (routing, preflight, createModel rules) inline and defers bulk detail behind well-signaled, one-level-deep links that both exist in the bundle: [api-reference.md](references/api-reference.md) for method signatures/TypeScript types and [custom-onboarding.md](references/custom-onboarding.md) for the CreateAIModel flow, each described by content at the link site and enumerated in a closing 'Reference index'. This matches 'clear overview with well-signaled one-level-deep references; content appropriately split; easy navigation' — the references are one level deep with no chained indirection, so it exceeds level 4.

Specificity

The description enumerates concrete, verifiable capabilities rather than abstractions: 'image generation (ai.createImageModel + generateImage)', 'Text via ai.createModel with groups cloudbase, hunyuan-exp, or custom-*', model ids 'go in the `model` field of generateText/streamText', plus the environments served ('cloud functions, CloudRun, Express/Koa/NestJS, serverless APIs, scheduled jobs, LLM proxies, agent orchestration') and a version pin '>=3.16.0'. This matches the anchor 'Lists multiple specific concrete actions; comprehensive coverage' — the text-generation path, image-generation path, runtime targets, and a mandatory preflight step are all named, so it is not the level-4 anchor, which requires minor gaps in coverage.

Completeness

Both questions are answered explicitly: the 'what' ('The only SDK supporting image generation… Text via ai.createModel… model ids go in the `model` field') and the 'when' ('Use this skill for Node.js backend AI…', reinforced by negative triggers 'NOT for browser/Web (use ai-model-web) or Mini Program (use ai-model-wechat)'). This matches the level-5 anchor 'clearly and explicitly answers both what AND when with concrete trigger phrases'; it is not level 4, where the 'when' could be more explicit — here both positive and negative trigger guidance is concrete.

Trigger Term Quality

Natural user phrasings are covered broadly with synonyms: 'Node.js backend AI', 'cloud functions', 'CloudRun', 'serverless APIs', 'scheduled jobs', 'LLM proxies', 'agent orchestration', 'image generation', plus concrete model names users would actually say ('deepseek-v4-flash, glm-5, kimi-k2.6') and the SDK package name '@cloudbase/node-sdk'. This meets the 'comprehensive coverage of natural terms including synonyms' anchor; it is clearly above level 4 ('good keyword coverage; a few natural terms missing') because both the platform vocabulary and the concrete model-name triggers users mention are present.

Distinctiveness Conflict Risk

The niche is sharply defined by runtime plane (Node.js server-side via '@cloudbase/node-sdk') and the description actively routes adjacent cases away: 'NOT for browser/Web (use ai-model-web) or Mini Program (use ai-model-wechat)'. Claims like 'The only SDK supporting image generation' further separate it from siblings. Minimal conflict risk, matching the level-5 'clear niche with distinct triggers' anchor rather than level 4, which tolerates minor overlap with closely related skills.