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api-design-principles

Principles and checklists for designing and reviewing REST and GraphQL APIs; use when defining or evaluating API contracts (endpoints/schemas), naming, error models, pagination, versioning, and REST vs. GraphQL trade-offs.

67

Quality

81%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

71%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, actionable design/review skill with concrete REST examples and a clean reference split. The main weakness is redundancy between the Example Usage and Implementation Details sections and minor restatement of baseline concepts.

Suggestions

Merge the Example Usage workflow and the Implementation Details > Recommended workflow into a single sequenced section to remove the duplicated requirements→style→modeling→operations→cross-cutting steps.

Trim baseline-knowledge explanations (e.g. "REST: best for resource-oriented APIs, cacheable reads, and simple CRUD") in favor of decision criteria or trade-off triggers Claude would not already infer.

Add a short inline GraphQL query/mutation example mirroring the REST one so both API styles have executable guidance directly in SKILL.md, or explicitly point to the GraphQL reference for the worked example.

DimensionReasoningScore

Conciseness

Mostly efficient, but the "Example Usage" steps 1-4 and "Implementation Details > Recommended workflow" steps 1-5 restate the same design sequence, and lines like "REST: best for resource-oriented APIs, cacheable reads, and simple CRUD" restate baseline knowledge Claude already has.

3 / 5

Actionability

Provides concrete, copy-paste-ready curl commands and JSON request/response payloads covering list-with-pagination, create-with-idempotency, and the error model; the minor gap is that no equivalent GraphQL worked example is inline (delegated to references).

4 / 5

Workflow Clarity

A clearly sequenced design/review workflow (requirements → style → contract → checklist → deliverables) with the review checklist serving as a validation checkpoint, though it lacks an explicit validate-fix-retry feedback loop.

4 / 5

Progressive Disclosure

SKILL.md is a clear overview with well-signaled, one-level-deep references (references/rest.md, references/graphql.md, references/review-checklist.md) that are real, appropriately scoped files; detail is correctly split out and navigation is easy.

5 / 5

Total

16

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20

Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A concise, well-targeted description that pairs a clear capability statement with an explicit "use when" trigger clause listing concrete API-design concerns. It is third-person, specific, and unlikely to misfire.

DimensionReasoningScore

Specificity

Lists multiple concrete actions—"designing and reviewing REST and GraphQL APIs", "defining or evaluating API contracts (endpoints/schemas), naming, error models, pagination, versioning, and REST vs. GraphQL trade-offs"—with comprehensive coverage of the skill's scope.

5 / 5

Completeness

Explicitly answers both what ("Principles and checklists for designing and reviewing REST and GraphQL APIs") and when ("use when defining or evaluating API contracts...") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural-term coverage ("REST", "GraphQL", "API contracts", "endpoints/schemas", "pagination", "versioning", "error models"), but a few natural synonyms a user might say (e.g. OpenAPI/Swagger, spec, deprecation, filtering/sorting) are absent.

4 / 5

Distinctiveness Conflict Risk

The REST+GraphQL API-design niche with cross-cutting concerns and explicit trade-off framing is a clear, distinct trigger set with minimal conflict risk against unrelated skills.

5 / 5

Total

19

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20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
aipoch/medical-research-skills
Reviewed

Table of Contents

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