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。
Generate changelogs and release notes from Conventional Commits with semver bump detection, Keep a Changelog formatting, and monorepo scopes. Use when preparing releases, enforcing commit standards, or automating release notes.
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。
Generate consistent, auditable changelogs and release notes from Conventional Commits. Parses commit messages, detects semantic version bumps (major/minor/patch), renders Keep a Changelog sections, supports monorepo scoped changelogs, integrates with CI for automated release notes, and enforces commit format with linting. Separates commit parsing, bump logic, and rendering so teams can automate releases without losing editorial control.
changelog, release notes, conventional commits, semantic versioning, semver, Keep a Changelog, commit linting, release automation, monorepo changelog
! and BREAKING CHANGE:.Before generating the changelog, confirm these inputs. If any is unknown or vague, ASK — do not assume:
changelog_formatter.py --format)--version and scoped filtering)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 |
|---|---|---|
commit_parser.py | Parse git log (with ---COMMIT_END--- delimiters) into structured changelog entries | git log --pretty=format:'%H%n%s%n%b%n---COMMIT_END---' --no-merges | python scripts/commit_parser.py --json |
breaking_change_detector.py | Scan commit messages/diffs for breaking-change indicators | python scripts/breaking_change_detector.py -f gitlog.txt --severity high |
changelog_formatter.py | Format parsed commits into Keep a Changelog or GitHub markdown | python scripts/changelog_formatter.py -f parsed.json --version 1.4.0 --format keepachangelog |
Load the reference that matches the task — keep this file lean and pull detail on demand:
This skill covers:
This skill does NOT cover:
engineering/ci-cd-pipeline-designengineering/git-workflow-automationstandards/git/git-workflow-standards.md| Skill | Integration | Data Flow |
|---|---|---|
engineering/ci-cd-pipeline-design | Changelog generation runs as a CI stage before release publishing | Parsed commits and rendered changelog feed into the release pipeline as artifacts |
engineering/git-workflow-automation | Commit linting hooks enforce format before commits reach the changelog generator | Pre-commit validation ensures only parseable commits enter the git history |
engineering/code-review-automation | PR checks verify commit messages conform to Conventional Commits before merge | Linting results gate PR approval, preventing unparseable commits from reaching main |
engineering/api-versioning-strategy | Breaking change detection aligns API version bumps with changelog major releases | BREAKING CHANGE commits trigger both changelog entries and API version increments |
project-management/release-management | Release planning uses generated changelogs for stakeholder communication | Rendered release notes flow into release checklists and stakeholder announcements |
standards/git/git-workflow-standards.md | Commit format standards define the grammar this skill parses | Standard definitions are the source of truth for the commit regex pattern |
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。