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Agent Skill · 研究检索

slicing-elephant-carpaccio(切大象生牛肉片)

slicing-elephant-carpaccio 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。

slicing-elephant-carpaccio 是研究检索类 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,按安装量在研究检索类的 73,675 个 Skill 里排第 62,001。

总安装 343周安装 14GitHub Stars 5下载 111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:slicing-elephant-carpaccio(切大象生牛肉片)
来源仓库:https://github.com/bnadlerjr/dotfiles
仓库路径:skills/slicing-elephant-carpaccio
安装命令:
npx skills add https://github.com/bnadlerjr/dotfiles --skill slicing-elephant-carpaccio
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/bnadlerjr/dotfiles --skill slicing-elephant-carpaccio

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

slicing-elephant-carpaccio 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从指定仓库安装并使用。

安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/slicing-elephant-carpaccio

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/bnadlerjr/dotfiles --skill slicing-elephant-ca…;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

slicing-elephant-carpaccio 怎么安装?

在终端执行 npx skills add https://github.com/bnadlerjr/dotfiles --skill slicing-elephant-carpaccio。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

slicing-elephant-carpaccio 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。

slicing-elephant-carpaccio 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。

slicing-elephant-carpaccio 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。

slicing-elephant-carpaccio 用的人多吗?

公开数据是累计安装 343 次,近一周安装 14 次,下载 111 次,GitHub 5 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。

slicing-elephant-carpaccio 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。

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。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
slicing-elephant-carpaccio

切大象生牛肉片 · 本页

3435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

Slicing Elephant Carpaccio

Break features into the thinnest possible vertical slices — each one cutting across all necessary layers (UI, logic, data) to produce an independently working, testable, demoable increment. The output is an ordered slice backlog, not implementation.

Quick Start

Given a feature description, produce an ordered list of 10-20 thin vertical slices:

## Slice Backlog: [Feature Name]

1. **Walking skeleton** — [thinnest end-to-end path]. Value: proves architecture connects.
2. **[Next slice]** — [description]. Value: [what stakeholder can now see/do].
3. ...

When This Skill Applies

  • Planning a new feature that spans multiple layers or components
  • Breaking down an epic or large story into deliverable increments
  • User asks to "slice", "thin-slice", or "carpaccio" a feature
  • Work spans frontend, backend, and data layers
  • Multi-repo coordination is needed for a feature
  • A story feels too large but isn't ready for task decomposition yet

Workflow

Detect Architecture  -->  Understand Scope  -->  Produce Slice Backlog
Repo structure            Components/layers       Ordered thin slices

Step 1: Detect the Architecture

Before slicing, determine the repository structure.

  1. Examine the project layout. Look at the current working directory, any monorepo workspace configurations (package.json workspaces, nx.json, turbo.json, Cargo.toml workspace, go.work), and any sibling directories the user references.
  2. Classify the architecture: Type Description Slice atomicity Single repo All layers in one repository Slices are atomic Monorepo Multiple packages/apps in one repo Slices can touch multiple packages but are atomic Multi-repo Separate repos with independent CI/deploy Slices are coordinated across repos
  3. If multi-repo, identify:

- Which repo you are currently operating in - Location of other repo(s), if accessible - Contract surface between repos (REST API, GraphQL schema, RPC definitions, shared types, OpenAPI specs) - Which repo deploys first in practice (typically backend) - Whether a shared types/contract package exists

  1. State findings to the user and confirm before slicing.

Step 2: Understand the Full Feature Scope

Read all relevant files, specs, and existing code. Identify every component, layer, and integration point involved. Ask clarifying questions if the scope is ambiguous.

Use the codebase-navigator agent to find relevant files and entry points when the feature touches existing code.


Step 3: Produce the Slice Backlog

Create a numbered, ordered list of 10-20 slices. Each slice gets a one-line description and a note on what value it delivers.

For multi-repo slices, indicate which repo(s) each slice touches.

Slice Validity Rules

Every slice MUST pass ALL of these tests:

  • Vertical — Cuts through all necessary layers, not just backend or just frontend in isolation.
  • Working — After this slice, the system is in a testable, demoable state. Tests pass.
  • Distinct — A stakeholder can see something changed compared to the previous slice.
  • Valuable — Delivers more user value or reduces more risk than the last slice.
  • Small — Implementable in a single focused coding pass (or a small coordinated pair in multi-repo setups).

Ordering Principles

  • Slice 1 is always a walking skeleton — the thinnest possible end-to-end path proving the architecture connects. Hard-code values if needed. Its value is pure risk reduction.
  • Core happy-path functionality comes next, one thin layer at a time.
  • Prefer simpler implementations that deliver value faster (e.g., accept user input directly before building lookup tables).
  • Legal/compliance requirements before nice-to-haves.
  • All core paths before any single path is polished.
  • Validation, error handling, and edge cases LAST.
  • UI polish and optimization LAST.

Slicing Heuristics

When a slice feels too large, split it further using these patterns:

HeuristicStrategy
By workflow pathOne user flow end-to-end before the next
By data variationStart with one data type or category, add others as separate slices
By business ruleSimplest rule first, add complexity in later slices
By interfaceOne platform, device, or UI variant first
Simple before complexHappy path across all paths before edge cases on any single path
Hardcode then generalizeHardcode a value in slice N, replace with dynamic logic in slice N+1

Multi-Repo Slicing

When slicing across repository boundaries:

  • Contract-first — Each slice that crosses a repo boundary defines the API contract (endpoint shape, types, schema fragment) as its first sub-step, before either side is built.
  • Thinnest crossing — Minimize the API surface introduced per slice. One endpoint, one field, one query — not a batch.
  • Upstream before downstream — Note the deployment order. The side that provides the contract is built first.
  • Mock strategy — When the upstream won't be deployed before the downstream is built, note that a temporary mock of the agreed contract shape should be used and replaced within the same slice.

Blocked Repo Planning

If you only have access to one repo in a multi-repo setup, still plan full vertical slices. For each slice, note what the inaccessible repo needs to do as a companion task.


Anti-Patterns

If you catch yourself producing any of these, re-slice:

Anti-PatternWhy It's Wrong
Horizontal slicesBackend-only or frontend-only chunks deliver no user-visible value until a later slice integrates them
Build all endpoints then all UIThe most common multi-repo anti-pattern — horizontal slicing in disguise
Gold-plating early slicesAdding validation/error handling/polish to slice 2 when core paths in slices 8-12 don't exist yet
Speculative infrastructureAbstractions or frameworks beyond what the current slice requires
Task decomposition as slices"Set up the database" and "write the migration" are tasks within a slice, not slices themselves — each slice must have user-visible value

Output Format

Present the backlog as a numbered list:

## Slice Backlog: [Feature Name]

Architecture: [single-repo | monorepo | multi-repo]

1. **Walking skeleton** — [thinnest end-to-end path].
   Value: Proves architecture connects end-to-end.
   [Repos: backend, frontend]  <!-- only for multi-repo -->

2. **[Slice name]** — [one-line description of what changes].
   Value: [what a stakeholder can now see or do].

3. ...

After presenting the backlog, ask the user to confirm or adjust before any implementation begins.

Use AskUserQuestion:

  • Header: "Slice backlog"
  • Question: "Does this slice ordering look right?"
  • Options: "Looks good" | "Adjust ordering" | "Slices too thick — split further" | "Slices too thin — combine some"

Integration with Other Skills

Upstream — Defining what to slice

  • writing-prds — Start here if you need a PRD first; features from the use case compendium are ideal slicing inputs
  • writing-agile-stories — If you already have a BDD story that's too large, slice it here before writing sub-stories

Downstream — Detailing each slice

  • writing-agile-stories — Flesh out each slice into a BDD story with acceptance criteria
  • breaking-down-stories — Decompose slices or stories into implementation tasks
  • implementation-planning — Create a detailed implementation plan for a slice

平台分布

Codex

34.07%
按下载量换算38

Claude

28.82%
按下载量换算32

Cursor

18.52%
按下载量换算21

Gemini CLI

9.1%
按下载量换算10

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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