Content
92%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is an exemplary token-efficient catalog: lean entries with copy-paste imports and exact source paths, a clear unambiguous lookup workflow, and well-organized single-level structure that defers detail to source files appropriately. The only gap is the absence of a usage example showing how a response class is constructed and returned.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is a lean catalog — each entry is exactly name, copy-paste import statement, source path, and a one-line description, with no padding and no explanation of GraphQL or Webiny concepts Claude already knows. Every token earns its place, matching the anchor-5 'lean and efficient' example. | 5 / 5 |
Actionability | Each entry gives a literal copy-paste import ('import { Response } from "webiny/api/graphql"') and an exact source file path, plus a directive to read the source for exact types — mostly executable guidance with concrete commands. It falls short of anchor 5 only because there is no usage example (e.g. how to construct and return a Response in a resolver), leaving the most common case partly to the referenced source files. | 4 / 5 |
Workflow Clarity | The 'How to Use' section lays out an unambiguous 4-step sequence (find the abstraction → read its source for exact types → import it → consult the named pattern skills), and per the rubric's simple-skill guidance a single-purpose lookup skill with one unambiguous action can score 5. No validation checkpoints are needed since the skill involves no destructive or batch operations. | 5 / 5 |
Progressive Disclosure | No bundle files exist (references/, scripts/, assets/ are absent) and the skill is under 50 lines with no need for external references, which per the rubric guideline scores 5 with well-organized sections alone. The body is cleanly sectioned ('How to Use' vs the per-abstraction catalog), all in-body references point to real named skills rather than nested files, and deep detail is correctly deferred to the cited source files — references are one level deep and clearly signaled. | 5 / 5 |
Total | 19 / 20 Passed |