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.
快速验证设计的一次性原型。区分两条分支——逻辑/状态模型用终端交互 App,UI 布局用多变体路由切换。当用户想原型验证、检验数据模型或状态机、探索多种 UI 方案时触发。触发词:原型、prototype、验证方案、快速试验、让我玩一玩、试几个设计。
$ npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill prototype -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ProgrammerAnthony/Expert-Coding-Harness 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/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/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/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/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/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/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 ProgrammerAnthony/Expert-Coding-Harness --skill prototype -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ProgrammerAnthony/Expert-Coding-Harness prototype --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/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/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/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 ProgrammerAnthony/Expert-Coding-Harness --skill prototype -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ProgrammerAnthony/Expert-Coding-Harness prototype --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/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/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/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/ProgrammerAnthony/Expert-Coding-Harness.git --path skills/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 ProgrammerAnthony/Expert-Coding-Harness --skill prototype -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ProgrammerAnthony/Expert-Coding-Harness prototype --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/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/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/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 ProgrammerAnthony/Expert-Coding-Harness 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 ProgrammerAnthony/Expert-Coding-Harness --skill prototype -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/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/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/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 ProgrammerAnthony/Expert-Coding-Harness --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 ProgrammerAnthony/Expert-Coding-Harness prototype --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/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/ProgrammerAnthony/Expert-Coding-Harness/tree/master/skills/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.
prototype快速验证设计的一次性原型。区分两条分支——逻辑/状态模型用终端交互 App,UI 布局用多变体路由切换。当用户想原型验证、检验数据模型或状态机、探索多种 UI 方案时触发。触发词:原型、prototype、验证方案、快速试验、让我玩一玩、试几个设计。
Prototype is an agent skill from ProgrammerAnthony/Expert-Coding-Harness. 快速验证设计的一次性原型。区分两条分支——逻辑/状态模型用终端交互 App,UI 布局用多变体路由切换。当用户想原型验证、检验数据模型或状态机、探索多种 UI 方案时触发。触发词:原型、prototype、验证方案、快速试验、让我玩一玩、试几个设计。
Its SKILL.md is about 290 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/LOGIC.md` and `references/UI.md`).
It sits in Development. The repository describes itself as: 生产级 AI Agent 技能集,辅助AI Harness应用于企业开发,覆盖代码审查、代码安全审计、TDD、需求工程、实施计划与子代理编排、架构设计、调试、前端开发与技能创建全流程。 The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ab0b827. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pnpmpythonFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Prototype loads about 293 tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 34 tokens; SKILL.md has 51 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.
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.
The full file from ProgrammerAnthony/Expert-Coding-Harness at commit ab0b827, republished under its MIT licence (© ProgrammerAnthony). 51 words, ~293 tokens.
.claude/skills/prototype/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.原型是回答一个问题的一次性代码。问题决定形态,答完即删。
根据用户提示、周边代码、或直接询问来判断问题属于哪类:
分支错误会浪费整个原型。若问题确实模糊且用户不在线,则默认按周边代码选择(后端模块→逻辑;页面/组件→UI),并在原型顶部声明该假设。
prototype 以示一次性身份。pnpm <name>、python <path> 等),用户不需要记路径。原型唯一值得保留的是答案。将其记录在某个持久化位置(commit message、ADR、issue,或原型旁边的 NOTES.md),连同它所回答的问题一并保存。若用户在场,几句对话即可;若不在,留好占位符供后续填写,然后删除原型。
© ProgrammerAnthony, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/prototype of ProgrammerAnthony/Expert-Coding-Harness.
Open the folder on GitHubat commit ab0b827
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 skillProgrammerAnthony/Expert-Coding-Harness | 235 | — | ~293 | 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 |
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.
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.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
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.
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.
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
ProgrammerAnthony/Expert-Coding-Harness
A skill your agent uses when 用户需要设计新系统架构、评审或优化已有系统架构、选择技术方案时。触发场景:架构分析、架构设计、系统设计、architecture、架构优化、系统架构、架构评审、架构咨询、技术方案、技术设计、如何组织代码结构、模块划分、服务拆分、数据库选型、微服务设计。
ProgrammerAnthony/Expert-Coding-Harness
A skill your agent uses when 用户要求审查代码、评估代码质量、提交 PR 前检查、发现代码有潜在问题时。触发场景:代码审查、code review、审查代码、review、检查代码、代码检查、代码质量、代码评审、这段代码有问题吗、帮我看看代码、合并前检查。
ProgrammerAnthony/Expert-Coding-Harness
A skill your agent uses when 用户需要对代码进行安全审计、发现安全漏洞、上线前安全评估、检查代码是否存在安全风险时。触发场景:代码安全审计、安全审计、白盒审计、安全扫描、漏洞检测、漏洞挖掘、SQL注入、命令注入、XSS、SSRF、反序列化、认证绕过、越权、代码安全检查、security audit、code…
ProgrammerAnthony/Expert-Coding-Harness
A skill your agent uses when 程序出现错误、异常、崩溃,或行为与预期不符,或测试失败,或无法定位问题根因时。触发场景:调试、debug、报错、错误、异常、bug、问题排查、故障排查、不工作、崩溃、无法运行、出错了、为什么不生效、运行报错、跑不起来、程序挂了。
ProgrammerAnthony/Expert-Coding-Harness
A skill your agent uses when 用户需要审查前端代码(React/Vue/Next.js/TypeScript/Tailwind等)、检查代码质量、性能问题、可维护性、安全漏洞、最佳实践落地时。触发场景:前端代码评审、前端代码优化、React/Vue代码检查、TypeScript代码审查、前端性能优化、前端安全审计、前端代码规范检查。
ProgrammerAnthony/Expert-Coding-Harness
A skill your agent uses when 用户需要优化前端性能、提升页面加载速度、减少白屏时间、优化交互流畅度、进行性能排查时。触发场景:前端性能优化、页面加载慢、白屏时间长、卡顿、LCP/FID/CLS指标优化、前端性能分析、打包体积优化。
Categories
快速验证设计的一次性原型。区分两条分支——逻辑/状态模型用终端交互 App,UI 布局用多变体路由切换。当用户想原型验证、检验数据模型或状态机、探索多种 UI 方案时触发。触发词:原型、prototype、验证方案、快速试验、让我玩一玩、试几个设计。. Prototype is an agent skill from ProgrammerAnthony/Expert-Coding-Harness.
Prototype fits situations like: development work in your project.
Run `npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill prototype -a claude-code`. Or copy the skill folder (skills/prototype in ProgrammerAnthony/Expert-Coding-Harness) into .claude/skills/prototype in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill prototype -a codex`. Or copy the skill folder (skills/prototype in ProgrammerAnthony/Expert-Coding-Harness) into .agents/skills/prototype in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ProgrammerAnthony/Expert-Coding-Harness --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.
Going by SKILL.md and its folder, Prototype needs the command-line tools its instructions call (pnpm and python). Our summary lists: Python 3.
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.
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.
Prototype is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 293 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.3k tokens, read only when the agent opens those files.
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.
ProgrammerAnthony (a GitHub user) maintains it in ProgrammerAnthony/Expert-Coding-Harness, which has 235 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on May 11, 2026.
Source: ProgrammerAnthony/Expert-Coding-Harness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.