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Agent Skill · 前端设计

qa-plan(质量保证计划)

qa-plan 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

qa-plan 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 6,501。

总安装 494周安装 21GitHub Stars 16,833下载 173核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:qa-plan(质量保证计划)
来源仓库:https://github.com/donchitos/claude-code-game-studios
仓库路径:skills/qa-plan
安装命令:
npx skills add https://github.com/donchitos/claude-code-game-studios --skill qa-plan
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/donchitos/claude-code-game-studios --skill qa-plan

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

qa-plan 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕仓库状态、变更或协作事项进行整理。它支持查询项目动态、分析代码差异或跟踪协作进展。

通过安装命令 npx skills add https://github.com/donchitos/claude-code-game-studios --skill qa-plan 添加技能,具体用法可参考仓库中的 SKILL.md。安装前请确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。

qa-plan 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/qa-plan

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/donchitos/claude-code-game-studios --skill qa-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

qa-plan 怎么安装?

在终端执行 npx skills add https://github.com/donchitos/claude-code-game-studios --skill qa-plan。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

qa-plan 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

qa-plan 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

qa-plan 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

qa-plan 用的人多吗?

公开数据是累计安装 494 次,近一周安装 21 次,下载 173 次,GitHub 16,833 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

qa-plan 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 16,833 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
qa-plan

质量保证计划 · 本页

49416,833需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

QA Plan

This skill generates a structured QA plan for a sprint, feature, or individual story. It reads all in-scope story files and their referenced GDDs, classifies each story by test type, and produces a plan that tells developers exactly what to automate, what to verify manually, what the smoke test scope is, and when to bring in a playtester.

Run this before a sprint begins so the team knows upfront what testing work is required. A test plan written after implementation is a post-mortem, not a plan.

Output: production/qa/qa-plan-[sprint-slug]-[date].md


Phase 1: Parse Scope

Argument: $ARGUMENTS (blank = ask user via AskUserQuestion)

Determine scope from the argument:

  • sprint — read the most recent file in production/sprints/, extract every story file path referenced. If production/sprint-status.yaml exists, use it as the primary story list and fall back to the sprint plan for story metadata.
  • feature: [system-name] — glob production/epics/*/story-*.md, filter to stories whose file path or title contains the system name. Also check the epic index file (EPIC.md) in that system's directory.
  • story: [path] — validate that the path exists and load that single file.
  • No argument — use AskUserQuestion:

- "What is the scope for this QA plan?" - Options: "Current sprint", "Specific feature (enter system name)", "Specific story (enter path)", "Full epic"

After resolving scope, report: "Building QA plan for [N] stories in [scope]."

If a story file path is referenced but the file does not exist, note it as MISSING and continue with the remaining stories. Do not fail the entire plan for one missing file.


Phase 2: Load Inputs

For each in-scope story file, read the full file and extract:

  • Story title and story ID (from filename or header)
  • Story Type field (if present in the file header — e.g., Type: Logic)
  • Acceptance criteria — the complete numbered/bulleted list
  • Implementation files — listed under "Files to Create / Modify" or similar
  • Engine notes — any engine API warnings or version-specific notes
  • GDD reference — the GDD path(s) cited
  • ADR reference — the ADR(s) cited
  • Estimate — hours or story points if present
  • Dependencies — other stories this one depends on

After reading stories, load supporting context once (not per story):

  • design/gdd/systems-index.md — to understand system priorities and which GDDs are approved
  • For each unique GDD referenced across all stories: read only the Acceptance Criteria and Formulas sections. Do not load full GDD text — these two sections contain the testable requirements and the math to verify.
  • docs/architecture/control-manifest.md — scan for forbidden patterns that automated tests should guard against (if the file exists)

If no GDD is referenced in a story, note it as a gap but do not block the plan. The story will be classified using acceptance criteria alone.


Phase 3: Classify Each Story

For each story, assign a Story Type. If the story already has a Type: field in its header, use that value and validate it against the criteria below. If the field is missing or ambiguous, infer the type from the acceptance criteria.

Story TypeClassification Indicators
LogicAcceptance criteria reference calculations, formulas, numerical thresholds, state transitions, AI decisions, data validation, buff/debuff stacking, economy transactions, or any testable computation
IntegrationCriteria involve two or more systems interacting, signals or events propagating across system boundaries, save/load round-trips, network sync, or persistence
Visual/FeelCriteria reference animation behaviour, VFX, shader output, "feels responsive", perceived timing, screen shake, particle effects, audio sync, or visual feedback quality
UICriteria reference menus, HUD elements, buttons, screens, dialogue boxes, inventory panels, tooltips, or any player-facing interface element
Config/DataChanges are limited to balance tuning values, data files, or configuration — no new code logic is involved

Mixed stories (e.g., a story that adds both a formula and a UI display): assign the primary type based on which acceptance criteria carry the highest implementation risk, and note the secondary type. Mixed Logic+Integration or Visual+UI combinations are the most common.

After classifying all stories, produce a classification summary table in conversation before proceeding to Phase 4. This gives the user visibility into how tests will be allocated.


Phase 4: Generate Test Plan

Assemble the full QA plan document. Use this structure:

# QA Plan: [Sprint/Feature Name]
**Date**: [date]
**Generated by**: /qa-plan
**Scope**: [N stories across [N systems]]
**Engine**: [engine name from .claude/docs/technical-preferences.md, or "Not configured"]
**Sprint File**: [path to sprint plan if applicable]

---

## Test Summary

| Story | Type | Automated Test Required | Manual Verification Required |
|-------|------|------------------------|------------------------------|
| [story title] | Logic | Unit test — `tests/unit/[system]/` | None |
| [story title] | Integration | Integration test — `tests/integration/[system]/` | Smoke check |
| [story title] | Visual/Feel | None (not automatable) | Screenshot + lead sign-off |
| [story title] | UI | Interaction walkthrough | Manual step-through |
| [story title] | Config/Data | Data validation test | Spot-check in-game values |

---

## Automated Tests Required

### [Story Title] — [Type]
**Test file path**: `tests/[unit|integration]/[system]/[story-slug]_test.[ext]`
**What to test**:
- [Specific formula or rule from the GDD Formulas section]
- [Each named state transition or decision branch]
- [Each side effect that should or should not occur]

**Edge cases to cover**:
- Zero/minimum input values (e.g., 0 damage, empty inventory)
- Maximum/boundary input values (e.g., max level, stat cap)
- Invalid or null input (e.g., missing target, dead entity)
- [Any edge case explicitly called out in the GDD Edge Cases section]

**Estimated test count**: ~[N] unit tests

[If no GDD formula reference was found for this story, note:]
*No formula found in referenced GDD — test cases must be derived from acceptance
criteria directly. Review the GDD Formulas section before writing tests.*

---

## Manual QA Checklist

### [Story Title] — [Type]
**Verification method**: [Screenshot + designer sign-off | Playtest session |
Manual step-through | Comparison against reference footage]
**Who must sign off**: [designer / lead-programmer / qa-lead / art-lead]
**Evidence to capture**: [screenshot of X | video clip of Y | written playtest
notes | side-by-side comparison]

Checklist:
- [ ] [Specific observable condition — concrete and falsifiable]
- [ ] [Another condition]
- [ ] [Every acceptance criterion translated into a manual check item]

*If any criterion uses subjective language ("feels", "looks", "seems"), it must
be supplemented with a specific benchmark or a playtest protocol note.*

---

## Smoke Test Scope

Critical paths to verify before any QA hand-off for this sprint:

1. Game launches to main menu without crash
2. New game / new session can be started
3. [Primary mechanic introduced or changed this sprint]
4. [Any system with a regression risk from this sprint's changes]
5. Save / load cycle completes without data loss (if save system exists)
6. Performance is within budget on target hardware (no new frame spikes)

*Smoke tests are verified by the developer via `/smoke-check`. Reference this
list when running that skill.*

---

## Playtest Requirements

| Story | Playtest Goal | Min Sessions | Target Player Type |
|-------|--------------|--------------|-------------------|
| [story] | [What question must the session answer?] | [N] | [new player / experienced] |

**Sign-off requirement**: Playtest notes must be written to
`production/session-logs/playtest-[sprint]-[story-slug].md` and reviewed by
the [designer / qa-lead] before the story can be marked COMPLETE.

If no stories require playtest validation: *No playtest sessions required for
this sprint.*

---

## Definition of Done — This Sprint

A story is DONE when ALL of the following are true:

- [ ] All acceptance criteria verified — via automated test result OR documented
      manual evidence (screenshot, video, or playtest notes with sign-off)
- [ ] Test file exists at the specified path for all Logic and Integration stories
- [ ] Manual evidence document exists for all Visual/Feel and UI stories
- [ ] Smoke check passes (run `/smoke-check sprint` before QA hand-off)
- [ ] No regressions introduced
- [ ] Code reviewed (via `/code-review` or documented peer review)
- [ ] Story file updated to `Status: Complete` (via `/story-done`)

When generating content, use the actual story titles, GDD formula text, and acceptance criteria extracted in Phase 2. Do not use placeholder text — every test entry should reflect the real requirements of these specific stories.


Phase 5: Write Output

Show the complete plan in conversation (or a summary if the plan is very long), then ask:

"May I write this QA plan to production/qa/qa-plan-[sprint-slug]-[date].md?"

Write the plan exactly as generated — do not truncate.

After writing:

"QA plan written to production/qa/qa-plan-[sprint-slug]-[date].md.

Next steps:

  • Share this plan with the team before sprint implementation begins
  • Run /smoke-check sprint after all stories are implemented to gate QA hand-off
  • For Logic/Integration stories, create the test files at the listed paths before marking stories done — /story-done checks for them"

Collaborative Protocol

  • Never write the plan without asking — Phase 5 requires explicit approval.
  • Classify conservatively: when a story is ambiguous between Logic and Integration, classify it as Integration — it requires both unit and integration tests.
  • Do not invent test cases beyond what acceptance criteria and GDD formulas support. If a formula is absent from the GDD, flag it rather than guessing.
  • Playtest requirements are advisory: the user decides whether a playtest is warranted for borderline Visual/Feel stories. Flag the case; do not mandate.
  • Use AskUserQuestion for scope selection when no argument is provided. Keep all other phases non-interactive — present findings, then ask once to approve the write.

平台分布

Codex

36.56%
按下载量换算63

Claude

27.17%
按下载量换算47

Cursor

19.79%
按下载量换算34

Gemini CLI

8.7%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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