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shape-up塑造

Agent Skill

shape-up 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

470

周安装

20

GitHub Stars

35

下载量

165
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:shape-up(塑造)
来源仓库:https://github.com/petekp/claude-code-setup
仓库路径:skills/shape-up
安装命令:
npx skills add https://github.com/petekp/claude-code-setup --skill shape-up
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/petekp/claude-code-setup --skill shape-up

简介

shape-up 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。

  • 适用于研究检索类任务,可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,支持多宿主环境集成。
  • 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操作。
  • shape-up 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Shape Up

Orchestrate the full Shape Up workflow by invoking /shaping and /breadboarding at the right moments. Be proactive — after each step, explain what was accomplished and suggest the next move.

Prerequisites

Requires the /shaping and /breadboarding skills to be installed. If missing, instruct the user to install them from https://github.com/rjs/shaping-skills

Workflow Overview

Frame → Shape → Breadboard → Slice → Build
PhasePurposeSub-skillOutput
FrameCapture the "why"/shapingProblem + Outcome
ShapeSeparate problem from solution, iterate/shapingR (requirements) + selected Shape
BreadboardMap affordances and wiring/breadboardingAffordance tables + diagram
SliceCut into demoable increments/breadboardingV1..V9 vertical slices
BuildImplement slice by sliceWorking software

Entry Point Detection

Determine the project type, then follow the appropriate path:

New project (empty or new directory)? → Start at Phase 1: Frame Existing project with code? → Start at Phase 0: Map Current System

Phase 0: Map Current System (Existing Projects Only)

Before shaping a change to an existing codebase, understand what exists.

  1. Ask: "What workflow or area of the system does this change affect?"
  2. Read the relevant code to understand the current implementation
  3. Invoke /breadboarding to map the existing system as CURRENT:

- Trace the affected workflow through the code - Produce affordance tables (UI + Code) for the current system - Generate a wiring diagram showing how it works today

This CURRENT breadboard becomes the baseline. Proposed shapes will modify it.

After completing: Present the CURRENT breadboard and say:

"Here's how the current system works. Now let's frame what we want to change. What problem are you trying to solve, or what outcome do you want?"

Phase 1: Frame

Capture source material and distill it into Problem and Outcome.

  1. Ask the user to describe what they want (or paste stakeholder quotes, requests, etc.)
  2. Invoke /shaping — capture the description as Source material
  3. Distill into:

- Problem — What's broken, what pain exists - Outcome — What success looks like

  1. Write to shaping.md in .claude/ (or project root for standalone projects)

After completing: Present the frame and say:

"Here's the frame. Does this capture the problem and desired outcome? Once confirmed, we'll start extracting requirements and sketching a solution."

Phase 2: Shape

Iterate on problem (R) and solution (shapes) until a shape is selected.

  1. Invoke /shaping
  2. Offer both entry points:

- Start from R — extract requirements from the frame - Start from S — if user already has a solution in mind, capture it as Shape A

  1. Run the shaping loop:
Extract R → Sketch shape(s) → Fit check → Spike unknowns → Iterate

Proactive Guidance During Shaping

After extracting initial R and Shape A, immediately show the fit check:

"Here's R x A — the fit between requirements and the proposed solution."

Then suggest based on what the fit check reveals:

Fit check showsSuggest
Flagged unknowns (warning markers)"A2 is flagged — want me to spike it?"
Requirements failing"R3 fails because [reason]. Should we revise the shape or adjust R3?"
All green"The shape looks solid. Ready to breadboard?"
Multiple viable shapes"Both A and B pass. Want to compare with show me A x R vs B x R?"

Shorthand Commands

Teach the user these as you go:

CommandWhat it does
show me R x AFit check: requirements against shape A
show me A x RRotated fit check: shape A against requirements
spike A2Investigate a specific part in depth
add R that...Add a new requirement
sketch shape BPropose an alternative approach

Phase complete when: A shape is selected (passes fit check, unknowns resolved).

"Shape [X] is selected and all requirements pass. Ready to breadboard?"

Phase 3: Breadboard

Detail the selected shape into concrete affordances with wiring.

  1. Invoke /breadboarding
  2. For existing projects: breadboard the mixture — existing + new affordances wired together
  3. For new projects: breadboard from the shape's parts
  4. Produce:

- Places table - UI Affordances table - Code Affordances table - Wiring diagram (Mermaid)

After completing:

"The breadboard shows [N] UI affordances, [N] code affordances across [N] places. Ready to slice into vertical increments?"

Phase 4: Slice

Cut the breadboard into demoable vertical slices.

  1. Invoke /breadboarding slicing procedure
  2. Identify V1 as the minimal demoable increment
  3. Layer additional capabilities as V2..V9
  4. For each slice, define:

- Which affordances it includes - What mechanism it demonstrates - A concrete demo statement

After completing: Present the slice summary and say:

"We have [N] slices. V1 demos '[demo statement]'. Want to start building V1?"

Phase 5: Build

Implement each slice, verify it works, then move to the next.

For each slice:

  1. Create an implementation plan (V[N]-plan.md)
  2. Build the slice
  3. Verify: run and test to confirm the demo works
  4. Update the Big Picture document with completion status

After each slice:

"V[N] is complete — [demo statement] is working. Ready for V[N+1]?"

File Management

FilePurposeLocation
shaping.mdGround truth for R, shapes, fit checks.claude/ or project root
spike-[topic].mdInvestigation findings.claude/ or project root
big-picture.mdHigh-level summary of entire feature.claude/ or project root
V[N]-plan.mdPer-slice implementation plans.claude/ or project root

Resuming a Session

When invoked with an existing shaping.md:

  1. Read the shaping doc to understand current state
  2. Invoke /shaping — it will detect the existing doc and show the fit check for the selected shape
  3. Identify what needs attention (unsolved requirements, pending slices)
  4. Suggest the next action:

- If shaping: "R4 is still undecided — want to discuss?" - If breadboarded: "Ready to slice?" - If sliced: "V3 is next — want to build it?" - If building: "V2 is complete. V3 demos '[statement]' — ready?"

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

36.78%
按下载量换算61

Claude

31.47%
按下载量换算52

Cursor

17.9%
按下载量换算30

Gemini CLI

9.2%
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。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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