Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
构建一个可抛弃的原型来回答设计问题。当用户想验证状态模型或逻辑是否合理，或探索 UI 应该长什么样时使用. An agent skill from devcxl/mattpocock-skills-zh.
Install Prototype
$ npx skills add devcxl/mattpocock-skills-zh --skill prototype -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install devcxl/mattpocock-skills-zh prototype --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/devcxl/mattpocock-skills-zh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/engineering/prototype .claude/skills/prototype && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "prototype" agent skill from https://github.com/devcxl/mattpocock-skills-zh/tree/main/skills/engineering/prototype into .claude/skills/prototype/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prototype", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/devcxl/mattpocock-skills-zh/tree/main/skills/engineering/prototypeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add devcxl/mattpocock-skills-zh --skill prototype -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install devcxl/mattpocock-skills-zh prototype --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcxl/mattpocock-skills-zh.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/engineering/prototype .agents/skills/prototype && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prototype" agent skill from https://github.com/devcxl/mattpocock-skills-zh/tree/main/skills/engineering/prototype into .agents/skills/prototype/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prototype", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add devcxl/mattpocock-skills-zh --skill prototype -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install devcxl/mattpocock-skills-zh prototype --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcxl/mattpocock-skills-zh.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/engineering/prototype .cursor/skills/prototype && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prototype" agent skill from https://github.com/devcxl/mattpocock-skills-zh/tree/main/skills/engineering/prototype into .cursor/skills/prototype/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prototype", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/devcxl/mattpocock-skills-zh.git --path skills/engineering/prototype--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add devcxl/mattpocock-skills-zh --skill prototype -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install devcxl/mattpocock-skills-zh prototype --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcxl/mattpocock-skills-zh.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/engineering/prototype .gemini/skills/prototype && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "prototype" agent skill from https://github.com/devcxl/mattpocock-skills-zh/tree/main/skills/engineering/prototype into .gemini/skills/prototype/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prototype", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install devcxl/mattpocock-skills-zh prototypeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add devcxl/mattpocock-skills-zh --skill prototype -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/devcxl/mattpocock-skills-zh.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/engineering/prototype .github/skills/prototype && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "prototype" agent skill from https://github.com/devcxl/mattpocock-skills-zh/tree/main/skills/engineering/prototype into .github/skills/prototype/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prototype", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add devcxl/mattpocock-skills-zh --skill prototype -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install devcxl/mattpocock-skills-zh prototype --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcxl/mattpocock-skills-zh.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/engineering/prototype .opencode/skills/prototype && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prototype" agent skill from https://github.com/devcxl/mattpocock-skills-zh/tree/main/skills/engineering/prototype into .opencode/skills/prototype/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prototype", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
prototype- GitHub stars
- 433
- Token cost
- ~287 tokens
- SKILL.md length
- 54 words
- Files
- 4
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- MIT
At a glance
构建一个可抛弃的原型来回答设计问题。当用户想验证状态模型或逻辑是否合理，或探索 UI 应该长什么样时使用. An agent skill from devcxl/mattpocock-skills-zh.
- Works in 6 steps: 从第一天起就是一次性的，并且要明确标注。… → 运行零门槛。 UI 原型用项目任务运行器里的一条命令启动——pnpm… → 默认不持久化。… → …
- Development work in your project
- SKILL.md covers 选择分支 and 两者都适用的规则
- Calls pnpm, python and bun
What it does
Prototype is an agent skill from devcxl/mattpocock-skills-zh. 构建一个可抛弃的原型来回答设计问题。当用户想验证状态模型或逻辑是否合理，或探索 UI 应该长什么样时使用。
Its SKILL.md is about 290 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `LOGIC.md`, `UI.md` and `agents/openai.yaml`).
It sits in Development. The repository describes itself as: Matt Pocock 技能集的中文翻译版 — 地道中文，原汁原味的技术术语。基于 mattpocock/skills 复刻。每日中午12点钟同步. The licence is MIT.
When your agent uses it
- Development work in your project
Example prompts
- “/prototype”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- 从第一天起就是一次性的，并且要明确标注。 把原型代码放在靠近实际使用位置的地方（在它为之原型化的模块或页面旁边），这样上下文一目了然——但命名要让随便一看的人就知道这是原型，不是生产代码。对于一次性 UI 路由，遵循项目已有的路由约定；不要发明新的顶层结构。
- 运行零门槛。 UI 原型用项目任务运行器里的一条命令启动——pnpm 、python 、bun 等。逻辑演示是一个用户双击即可打开的 HTML 文件。无论哪种，启动它都不需要任何思考。
- 默认不持久化。 状态只存在于内存中。持久化恰恰是原型要*检验*的东西，而不是它应该依赖的东西。如果问题明确涉及数据库，就用一个命名清晰的"PROTOTYPE — 用完即删"的临时数据库或本地文件。
- 跳过打磨。 不写测试，不做超出"可运行"所需的错误处理，不搞抽象。重点是快速学到东西。
- 把状态摆在明面上。 每次操作之后（逻辑）或每次切换变体时（UI），打印或渲染完整的相关状态，让用户能看到什么变了。
- 完成后留存。 把任何验证过的决策折进真实代码，然后把原型本身作为一手来源留存：提交到一个一次性分支（放在 main 之外），并在实现 issue 上留下指向该分支的上下文指引。答案也要留存——结论和它所解决的问题——写进 issue 或一次提交里。main…
What it can do on your machine
Read from SKILL.md and the folder at commit b72cc5b. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
pnpmpythonbun
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Prototype loads about 287 tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 54 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from devcxl/mattpocock-skills-zh at commit b72cc5b, republished under its MIT licence (© devcxl). 54 words, ~287 tokens.
Download SKILL.mdSave it as
.claude/skills/prototype/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- prototype
- description
- 构建一个可抛弃的原型来回答设计问题。当用户想验证状态模型或逻辑是否合理，或探索 UI 应该长什么样时使用。
原型（Prototype）
原型是回答某个问题的一次性代码。问题决定了它的形态。
选择分支
判断要回答的是哪个问题——从用户的提示、周围的代码判断，或者如果用户在场就直接问：
- "这套逻辑 / 状态模型感觉对吗？" → LOGIC.md。构建一个可分享的 HTML 文件——自由试玩按钮加上带标签页的引导式演练——把状态机推过那些在纸面上难以推理的用例，而且非开发者也能上手操作。
- "它应该长什么样？" → UI.md。在单一路由上生成几个截然不同的 UI 变体，通过 URL 查询参数和一个底部悬浮栏切换。
两个分支产出截然不同的产物——选错了分支，整个原型就白做了。如果问题确实模棱两可、用户又联系不上，就默认选择更贴合周围代码的分支（后端模块 → 逻辑；页面或组件 → UI），并在原型顶部注明这个假设。
两者都适用的规则
- 从第一天起就是一次性的，并且要明确标注。 把原型代码放在靠近实际使用位置的地方（在它为之原型化的模块或页面旁边），这样上下文一目了然——但命名要让随便一看的人就知道这是原型，不是生产代码。对于一次性 UI 路由，遵循项目已有的路由约定；不要发明新的顶层结构。
- 运行零门槛。 UI 原型用项目任务运行器里的一条命令启动——
pnpm <name>、python <path>、bun <path>等。逻辑演示是一个用户双击即可打开的 HTML 文件。无论哪种，启动它都不需要任何思考。 - 默认不持久化。 状态只存在于内存中。持久化恰恰是原型要检验的东西，而不是它应该依赖的东西。如果问题明确涉及数据库，就用一个命名清晰的"PROTOTYPE — 用完即删"的临时数据库或本地文件。
- 跳过打磨。 不写测试，不做超出"可运行"所需的错误处理，不搞抽象。重点是快速学到东西。
- 把状态摆在明面上。 每次操作之后（逻辑）或每次切换变体时（UI），打印或渲染完整的相关状态，让用户能看到什么变了。
- 完成后留存。 把任何验证过的决策折进真实代码，然后把原型本身作为一手来源留存：提交到一个一次性分支（放在 main 之外），并在实现 issue 上留下指向该分支的上下文指引。答案也要留存——结论和它所解决的问题——写进 issue 或一次提交里。main 分支只保留验证过的决策。
© devcxl, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files in skills/engineering/prototype of devcxl/mattpocock-skills-zh.
- SKILL.md
- LOGIC.md
- UI.md
- agents/openai.yaml
Open the folder on GitHubat commit b72cc5b
Compare with similar skills
Prototype next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prototype this skilldevcxl/mattpocock-skills-zh | 433 | — | ~287 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 24 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | Automated safety check: Pass | MIT |
Similar skills
Typescript Advanced Types
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
PR Babysitter
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Code Review Checklist
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Greploop
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
Guidelines
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
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设置 Claude Code 钩子，在危险 Git 命令（push、reset --hard、clean、branch -D 等）执行前将其拦截。当用户想要防止破坏性 Git 操作、添加 Git 安全钩子或在 Claude Code 中阻止 git push/reset 时使用。
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设计深度模块的共享词汇。当用户想要设计或改进模块的接口、寻找深化机会、决定 seam 的位置、让代码更可测试或更易被 AI 导航，或者其他 skill 需要深度模块词汇时使用。
Diagnosing Bugs
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针对棘手 bug 和性能回归的诊断循环。当用户说"诊断"/"调试这个"，或报告某处崩溃/报错/不正常/缓慢时使用. An agent skill from devcxl/mattpocock-skills-zh.
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构建和完善项目的领域模型。当讨论代码库术语、编写或编辑 GLOSSARY.md，或记录或编辑 ADR 时使用. An agent skill from devcxl/mattpocock-skills-zh.
Migrate To Shoehorn
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将测试文件从 as 类型断言迁移到 @total-typescript/shoehorn。当用户提到 shoehorn、想要在测试中替换 as、或需要部分测试数据时使用。
Related
Categories
Questions about Prototype
What does Prototype do?
构建一个可抛弃的原型来回答设计问题。当用户想验证状态模型或逻辑是否合理，或探索 UI 应该长什么样时使用. An agent skill from devcxl/mattpocock-skills-zh. Prototype is an agent skill from devcxl/mattpocock-skills-zh.
When should I use Prototype?
Prototype fits situations like: development work in your project.
How do I install Prototype in Claude Code?
Run `npx skills add devcxl/mattpocock-skills-zh --skill prototype -a claude-code`. Or copy the skill folder (skills/engineering/prototype in devcxl/mattpocock-skills-zh) into .claude/skills/prototype in your project. Claude Code loads it when a task matches its description.
How do I install Prototype in Codex?
Run `npx skills add devcxl/mattpocock-skills-zh --skill prototype -a codex`. Or copy the skill folder (skills/engineering/prototype in devcxl/mattpocock-skills-zh) into .agents/skills/prototype in your project. Codex loads it when a task matches its description.
Can I use Prototype in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add devcxl/mattpocock-skills-zh --skill prototype -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prototype, .gemini/skills/prototype, .github/skills/prototype and .opencode/skills/prototype in your project.
What does Prototype need to run?
Going by SKILL.md and its folder, Prototype needs the command-line tools its instructions call (pnpm, python and bun). Our summary lists: Python 3.
Does Prototype access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Prototype safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Prototype use?
Prototype is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Prototype use?
About 287 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Prototype?
Skills that share tags, products or a category with Prototype: Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prototype?
devcxl (a GitHub user) maintains it in devcxl/mattpocock-skills-zh, which has 433 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 5, 2026.
Source: devcxl/mattpocock-skills-zh on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.