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workflow-feature-shipper工作流程功能托运人

Agent Skill

workflow-feature-shipper 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

1,187

周安装

48

GitHub Stars

338

下载量

372
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:workflow-feature-shipper(工作流程功能托运人)
来源仓库:https://github.com/heyvhuang/ship-faster
仓库路径:skills/workflow-feature-shipper
安装命令:
npx skills add https://github.com/heyvhuang/ship-faster --skill workflow-feature-shipper
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/heyvhuang/ship-faster --skill workflow-feature-shipper

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 支持基于关键词、任务场景或来源线索进行信息筛选,适用于功能发布相关场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限与维护状态。
  • 安装前建议核实是否会触发联网、命令执行或文件读写操作。
  • 可结合原始 README 进一步了解具体用法和功能边界。

SKILL.md

Feature Shipper

Turn "I want to build a feature" into a fast execution chain.

Input (Pass Paths Only)

  • feature.md: Requirements description (acceptance criteria + non-goals)
  • repo_root
  • run_dir

Optional flags (recommended inside feature.md)

  • mode: plan-only | execute (default: execute)
  • feature_slug: short slug for artifact naming (default: derived from title + timestamp)
  • quality_bar: demo-ready | functional-only (default: demo-ready for user-facing UI features)

Output (Persisted)

  • evidence/features/<feature_slug>-plan.md (checklist plan: tasks + verification)
  • evidence/parallel/features/<feature_slug>/ (if implementation is split)
  • evidence/features/<feature_slug>-summary.md

Process

  1. Hooks doctor (required check; non-blocking): Run tool-hooks-doctor once at the start of the session to verify skill-evolution hooks are enabled. If missing, offer to install project-level hooks; continue either way.
  2. Read feature.md, normalize into: acceptance criteria, boundaries, risks, rollback.
  3. Prototype UI rule (default): if this feature affects user-facing UI and quality_bar isn’t functional-only, propose 1 “demo moment” (animation/micro-interaction) and add it to acceptance criteria. Must respect prefers-reduced-motion.
  4. Produce 2 options (A: minimal; B: cleaner but slower), default to A. If user cares about “demo feel”, offer A-demo-ready vs A-functional-only as explicit sub-options.
  5. Split into PR-sized small steps (each independently runnable + rollback-able).
  6. Write plan to evidence/features/<feature_slug>-plan.md.
  7. If mode: plan-only, stop here and ask for confirmation before implementing.
  8. Implement (batch execution + checkpoints):

- UI visual/layout/animation changes → First call tool-design-style-selector to load the project’s design-system.md, then strictly follow it. If tool-ui-ux-pro-max is installed, use it to ground motion/UX constraints (search “animation” + “accessibility”). For complex visual/animation/responsive design, delegate to /gemini frontend UI/UX senior design agent. - Business logic/data flow/integration → Implement directly. - Default batch rhythm: 3 small tasks per batch → run verification → report and wait for feedback; stop immediately for help when blocked/verification fails. - After each batch (or before merge), recommend using review-quality for a conclusive review + verdict. - review-quality is the single entry point and will auto-triage: if React/Next.js performance risk is detected, it will also run review-react-best-practices. - If the user explicitly wants *only* a React/Next.js perf audit, run review-react-best-practices directly.

  1. Verification: can run, can build (and existing tests pass).

- If verification fails (tests/build/runtime error): run tool-systematic-debugging before attempting more fixes. - Persist debugging artifacts to: - evidence/features/<feature_slug>-debug.md (repro steps, hypotheses, root cause, fix + re-verify)

  1. Write evidence/features/<feature_slug>-summary.md: what was done, how verified, next steps.
  2. Wrap up: Do a skill-evolution Evolution checkpoint (3 questions); if user chooses "want to optimize", run skill-improver based on this run_dir to produce minimal patch suggestions

Delivery Requirements

  • No "big bang" refactoring
  • Don't introduce new complexity (unless it significantly reduces future cost, and user confirms)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.92%
按下载量换算126

Claude

30.14%
按下载量换算112

Cursor

19.01%
按下载量换算71

Gemini CLI

9.63%
按下载量换算36

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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