This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Review REST API designs for quality, consistency, and breaking changes. Lints OpenAPI specs, generates scorecards, and detects breaking changes between versions. Use when designing APIs, reviewing contracts, or managing API versioning.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Comprehensive analysis and review of REST API designs against conventions, best practices, and industry standards. Helps engineering teams build consistent, maintainable, well-designed APIs through automated linting, breaking-change detection, and design scorecards.
Before producing the review, confirm these inputs. If any is unknown or vague, ASK — do not assume:
api_linter.py, api_scorecard.py, or breaking_change_detector.py)--min-grade / --exit-on-breaking and how strict the verdict is)Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
| Tool | Purpose | Command |
|---|---|---|
api_linter.py | Lint an OpenAPI/Swagger JSON spec for REST conventions and best practices | python scripts/api_linter.py openapi.json --format json |
breaking_change_detector.py | Detect breaking changes between two spec versions (with migration guides) | python scripts/breaking_change_detector.py v1.json v2.json --exit-on-breaking |
api_scorecard.py | Score API design quality across 5 weighted dimensions (A–F grades) | python scripts/api_scorecard.py openapi.json --min-grade B |
Load the reference that matches the task — keep this file lean and pull detail on demand:
This skill covers:
This skill does NOT cover:
api-test-suite-builder)senior-security in engineering/)| Skill | Integration | Data Flow |
|---|---|---|
engineering/api-test-suite-builder | Generate test cases from linter findings | Linter issues feed into test plan priorities for endpoint validation |
engineering/changelog-generator | Document breaking changes in release notes | Breaking change detector output provides structured change data for changelogs |
engineering/ci-cd-pipeline-builder | Gate deployments on API quality | Scorecard grade and linter exit codes integrate as pipeline quality gates |
engineering/senior-backend | Review API implementation against design | Scorecard recommendations guide backend refactoring decisions |
engineering/code-reviewer | Enrich PR reviews with API analysis | Linter and breaking change reports attach to PR review comments |
engineering/release-manager | Validate version bumps match change severity | Breaking change detector severity levels inform semver version decisions |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
日本語の概要は準備中です。原文の説明を表示しています。
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
日本語の概要は準備中です。原文の説明を表示しています。
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
日本語の概要は準備中です。原文の説明を表示しています。