Conciseness

The body is dense with Apify-specific knowledge Claude lacks — vocabulary mirroring, the bounded-polling invariant, the maxTotalChargeUsd/maxItems cost rule, attribution headers, and the non-idempotent POST /runs retry rule — with no padding of concepts Claude already knows; every section earns its place, matching the 5 anchor. It is not a 4 because there are no trimmable over-explanation passages.

Actionability

Guidance is concrete and specific — exact endpoint paths, the API surface table, exact header names and values (x-apify-integration-platform, x-apify-integration-ai-tool), exact cost-control field semantics — and the run-flow snippet is executable, matching the 4 anchor. It is not a 5 because full language-specific scaffolding code is deferred to the reference files rather than given as copy-paste-ready examples inline.

Workflow Clarity

The 'Working workflow' lays out a 6-step sequence with a required Step-0 prerequisite and an explicit validation checkpoint ('Verify against the definition-of-done checklist at the end of that reference'), supplemented by the 'Top anti-patterns to refuse on review' checklist, matching the 5 anchor's explicit validation and checklists. It is not a 4 because validation is explicitly named rather than merely implied.

Progressive Disclosure

SKILL.md is a clear overview with a navigation table mapping each product shape to exactly one one-level-deep reference file, and all four referenced files (workflow-automation.md, ai-harness-plugin.md, ai-framework-package.md, sdk-integration.md) exist in references/, matching the 5 anchor. It is not a 4 because the split is clean and navigation is explicit, with no buried or nested references.

Specificity

The description enumerates multiple concrete integration shapes — 'workflow-automation apps (Zapier/n8n-style), AI agent plugins (coding-agent skills+MCP bundles or OpenClaw/Hermes-style harnesses), AI framework packages (LangChain/LlamaIndex-style), or direct application clients via apify-client' — giving comprehensive coverage of the domain, matching the 5 anchor; it is not a 4 because coverage of all supported shapes is complete rather than having minor gaps.

Completeness

It explicitly answers both 'what' ('Design and build an official Apify integration…') and 'when' with concrete trigger phrases ('Use when planning, creating, or reviewing an integration that exposes Apify Actors, runs, datasets, or key-value stores inside another product'), matching the 5 anchor; it is not a 4 because the 'when' clause is explicit and concrete rather than weakly implied.

Trigger Term Quality

Natural product keywords a partner would say are present (Zapier, n8n, LangChain, LlamaIndex, apify-client, Apify Actors/runs/datasets/key-value stores), but several natural terms that appear in the body (Make, Pipedream, Haystack, Vercel AI SDK) are missing from the description, so it sits at good-but-not-comprehensive coverage rather than 5.

Distinctiveness Conflict Risk

'official Apify integration for a company's product' with named host platforms carves a clear niche with distinct triggers and minimal conflict risk with other skills; it is not a 4 because the scope is unambiguous rather than having minor overlap risk.