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Test Planner

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minicoohei
test-planner

テスト計画書・テストケース・テストレポートの生成に使用。 「テスト計画を作って」「テストケースを生成して」「E2Eテストを書いて」等で発動。

Overview

Publisherminicoohei
Repositoryai-agent-camp
Skill nametest-planner
Stars
346
Forks
13
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by minicoohei on GitHub. Read the source before you install it.

Installation

Install the Test Planner AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/minicoohei/ai-agent-camp/tree/main/.claude/skills/test-planner
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git /tmp/ai-agent-camp
mkdir -p .claude/skills
cp -r /tmp/ai-agent-camp/.claude/skills/test-planner .claude/skills/test-planner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Test Planner in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Test Planner on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Test Planner is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Test Planner - テスト計画・実行支援ツール

ユースケースからテスト計画書、テストケース、テストコードを自動生成します。

Workflow

  1. ユースケース記述(usecases.md)を入力として受け取る
  2. テスト観点を分析(正常系/異常系/境界値/セキュリティ)
  3. テスト計画書・テストケースを構造化して出力
  4. 必要に応じてPlaywright E2Eテストコードを生成

Templates

テスト計画書テンプレート

markdown
# テスト計画書: {システム名}

## 1. テスト概要
### 1.1 テスト目的
### 1.2 テスト範囲
### 1.3 テスト環境

## 2. テスト方針
### 2.1 テストレベル
| レベル | 対象 | 手法 | ツール |
|--------|------|------|-------|
| 単体テスト | 個別関数・メソッド | ホワイトボックス | pytest |
| 結合テスト | API間連携 | グレーボックス | pytest + requests |
| E2Eテスト | 画面操作フロー | ブラックボックス | Playwright |

### 2.2 テスト観点
- 機能テスト(正常系・異常系)
- 境界値テスト
- セキュリティテスト(認証・認可)
- 性能テスト(レスポンスタイム)
- ユーザビリティテスト

## 3. テストスケジュール
| フェーズ | 期間 | 担当 | 成果物 |
|---------|------|------|--------|

## 4. 合否判定基準
- 全テストケース実行率: 100%
- 重大バグ(Severity: Critical/High): 0件
- テストカバレッジ: 80%以上

テストケーステンプレート

markdown
# テストケース一覧

## TC-{番号}: {テスト名}
- **テストレベル:** 単体 / 結合 / E2E
- **対応ユースケース:** UC-{番号}
- **前提条件:**
- **テスト手順:**
  1. {手順1}
  2. {手順2}
  3. {手順3}
- **期待結果:**
- **テストデータ:**
- **優先度:** High / Medium / Low
- **結果:** ⬜ 未実施 / ✅ 成功 / ❌ 失敗

Playwright E2Eテストテンプレート

typescript
import { test, expect } from '@playwright/test';

test.describe('{機能名}', () => {
  test.beforeEach(async ({ page }) => {
    await page.goto('http://localhost:3000');
  });

  test('{テスト名}', async ({ page }) => {
    // Arrange
    // Act
    // Assert
    await expect(page.locator('{selector}')).toBeVisible();
  });
});

テストエビデンステンプレート

markdown
# テストエビデンス: {テストケースID}

## 実行情報
- 実行日時: {datetime}
- 実行者: {name}
- 環境: {environment}

## 結果
- ステータス: ✅ 成功 / ❌ 失敗
- スクリーンショット: {path}
- ログ: {path}

## 備考

テスト結果サマリーテンプレート

markdown
# テスト結果サマリー

## 概要
| 項目 | 値 |
|------|-----|
| 総テストケース数 | {total} |
| 実行済み | {executed} |
| 成功 | {passed} |
| 失敗 | {failed} |
| スキップ | {skipped} |
| 成功率 | {rate}% |

## 失敗テスト一覧
| TC-ID | テスト名 | 失敗理由 | 重要度 | 対応状況 |
|-------|---------|---------|--------|---------|

## 品質判定
- [ ] 合否判定基準を満たしている
- [ ] 重大バグが0件である
- [ ] テストカバレッジが80%以上

Parameters

ParameterRequiredDefaultDescription
inputYes-ユースケース記述ファイルのパス
typeNoallテスト種別(unit/integration/e2e/all)
output_dirNooutput/pm/出力ディレクトリ
formatNomarkdown出力形式(markdown/playwright)

Output Format

  • テスト計画書 → output/pm/test-plan.md
  • テストケース → output/pm/test-cases.md
  • E2Eテストコード → output/pm/e2e-tests/*.spec.ts
  • テストエビデンス → output/pm/unit-test-evidence/, output/pm/integration-test-evidence/
  • テスト結果サマリー → output/pm/test-summary.md

Example

test-plannerスキルを使って、usecases.mdからテスト計画書とテストケースを生成してください。
→ output/pm/test-plan.md, output/pm/test-cases.md が生成される

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Test Planner AI skill do?

テスト計画書・テストケース・テストレポートの生成に使用。 「テスト計画を作って」「テストケースを生成して」「E2Eテストを書いて」等で発動。

Why use Test Planner on TypingMind?

Because you install it once and use it with any model. Test Planner is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Test Planner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/minicoohei/ai-agent-camp/tree/main/.claude/skills/test-planner. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Test Planner?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Test Planner?

As many as you like. As long as a model supports skills, you can use Test Planner with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Test Planner AI skill free?

It is published on GitHub by minicoohei. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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