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。
Automates release management with changelog generation, semantic versioning, and release readiness checks. Use when preparing releases, generating changelogs, bumping versions, or validating release candidates.
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。
The agent automates release management by parsing conventional commits into structured changelogs, determining semantic version bumps, and assessing release readiness with checklists, rollback runbooks, and stakeholder communication plans.
Before preparing the release, confirm these inputs. If any is unknown or vague, ASK — do not assume:
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 |
|---|---|---|
changelog_generator.py | Generate Keep-a-Changelog from conventional commits | git log --oneline v1.0.0..HEAD | python changelog_generator.py --version 1.1.0 --format both |
version_bumper.py | Determine SemVer bump + emit bump commands | git log --oneline v1.0.0..HEAD | python version_bumper.py --current-version 1.0.0 --analysis |
release_planner.py | Assess release readiness, checklist, rollback, comms | python release_planner.py --input release-plan.json --include-checklist --include-rollback |
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-generator)engineering/monitoring-alerting-setup)engineering/code-review-automation)engineering/infrastructure-as-code)| Skill | Integration | Data Flow |
|---|---|---|
engineering/ci-cd-pipeline-generator | Embed changelog generation and version bumping as pipeline stages | Git log output flows into changelog_generator.py; version bump output feeds pipeline tagging steps |
engineering/code-review-automation | Validate that PR commits follow conventional commit format before merge | Commit messages validated upstream ensure clean input for changelog generation |
engineering/monitoring-alerting-setup | Define rollback triggers based on monitoring thresholds from the rollback runbook | Rollback trigger thresholds (error rate >2x, latency >50%) feed into alert rule configuration |
engineering/api-design-reviewer | Breaking API changes flagged by the reviewer map to MAJOR version bumps | API review findings populate breaking_changes arrays in the release plan JSON |
engineering/infrastructure-as-code | Deployment steps in the rollback runbook reference infrastructure rollback commands | Rollback runbook command fields contain infrastructure-specific commands (kubectl, DNS, load balancer) |
project-management/release-planning | Release plan JSON structure aligns with PM release tracking artifacts | PM feature lists and approval statuses feed directly into release_planner.py input format |
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 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。
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。
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。