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。
Orchestrate end-to-end release pipelines. Use when running pre-release validation, generating changelogs, bumping semantic versions, scoring deployment readiness, or gating releases with secret scanning and GO/NO-GO checks.
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 runs pre-flight validation, generates changelogs from conventional commits, auto-bumps semantic versions, and scores deployment readiness with a GO/CONDITIONAL/NO-GO decision.
package.json, pyproject.toml, Cargo.toml, etc.; pre-release tags (--pre alpha|beta|rc).@author attribution.Before orchestrating the release, confirm these inputs. If any is unknown or vague, ASK — do not assume:
--from/--to)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 |
|---|---|---|
preflight_checker.py | Run 7 pre-release checks (sync, conflicts, secrets, commits, deps) | python scripts/preflight_checker.py --repo . --base main --json |
changelog_generator.py | Generate Keep a Changelog markdown from a ref range | python scripts/changelog_generator.py --repo . --from v1.2.0 --to HEAD --output CHANGELOG.md |
version_bumper.py | Auto-detect next semver from commits; write version files | python scripts/version_bumper.py --repo . --dry-run --json |
release_readiness_scorer.py | Score readiness 0-100 with GO/CONDITIONAL/NO-GO decision | python scripts/release_readiness_scorer.py --input release_data.json --json |
All tools support --json for machine output. Exit code 0 = pass, 1 = fail (CI-friendly).
Load the reference that matches the task — keep this file lean and pull detail on demand:
This skill covers: pre-flight validation, semantic version bumping, changelog generation, deployment-readiness scoring, and gating releases with GO/NO-GO decisions for git + conventional-commits projects.
This skill does NOT cover: the actual deploy/orchestration execution (handled by senior-devops / devops-workflow-engineer), test authoring (senior-qa), or deep security scanning beyond secret pattern-matching (senior-secops).
| Skill | Integration |
|---|---|
senior-devops | Pipeline stages consume pre-flight and readiness JSON as gates |
senior-qa | Test results feed Tests category (25% weight) |
senior-secops | Secret scan and CVE counts feed Security category (15%) |
code-reviewer | Code quality metrics feed Code Quality category (20%) |
devops-workflow-engineer | Workflow YAML calls tools as pipeline steps |
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。