Best use case
acceptance-criteria is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
受け入れ基準書を作成する。検収基準、完了条件の定義時に使う。
Teams using acceptance-criteria should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/acceptance-criteria/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How acceptance-criteria Compares
| Feature / Agent | acceptance-criteria | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
受け入れ基準書を作成する。検収基準、完了条件の定義時に使う。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## 目的
プロジェクト成果物の受け入れ条件を明確に定義する。
## トリガー語
- 「受け入れ基準を作成」
- 「検収基準を定義」
- 「完了条件を策定」
---
## 入力で最初に聞くこと
| # | 質問 | 必須 |
|---|------|------|
| 1 | **プロジェクト名**は？ | ✓ |
| 2 | **対象成果物**は？ | ✓ |
---
## 手順
### Step 1: 成果物の特定
### Step 2: 各成果物の受け入れ基準定義
- 機能要件の充足
- 非機能要件の充足
- ドキュメント要件
### Step 3: 検証方法の定義
### Step 4: 保存
- `workspace/{ProjectName}/docs/AcceptanceCriteria.md`
---
## 成果物
| 成果物 | 保存先 |
|--------|--------|
| 受け入れ基準書 | `workspace/{ProjectName}/docs/AcceptanceCriteria.md` |
---
## 検証（完了条件）
- [ ] 各成果物に受け入れ基準が設定されている
- [ ] 検証方法が明記されている
- [ ] 承認者が特定されている
---
## 参照
- Command: `.claude/commands/02_aipjm_02_planning_11_acceptance.md`Related Skills
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