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Agent Skill · 研究检索

shape-up(塑造)

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。

shape-up 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 71,838。

总安装 192周安装 8GitHub Stars 1下载 64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:shape-up(塑造)
来源仓库:https://github.com/synapseradio/ai-skills
仓库路径:skills/shape-up
安装命令:
npx skills add https://github.com/synapseradio/ai-skills --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/synapseradio/ai-skills --skill shape-up

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。

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。适用于项目规划、目标拆解或迭代节奏设计等敏捷开发相关研究检索任务场景。通过关键词、任务描述或来源线索触发检索,返回结构化候选信息供进一步核验。

安装命令为 npx skills add https://github.com/synapseradio/ai-skills --skill shape-up。使用前建议确认权限范围、维护状态,以及是否会触发联网或文件读写操作。

来源仓库内路径:skills/shape-up

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/synapseradio/ai-skills --skill shape-up;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

shape-up 怎么安装?

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

shape-up 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。

shape-up 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。

shape-up 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。

shape-up 用的人多吗?

公开数据是累计安装 192 次,近一周安装 8 次,下载 64 次,GitHub 1 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。

shape-up 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
shape-up

塑造 · 本页

1921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

Shape Up

Drive a structured elicitation conversation, then produce a shaped specification as a plan-mode artifact. The conversation surfaces intent; the artifact encodes it for implementation.

Influenced by Shape Up (Basecamp/Ryan Singer): appetite-first framing, solution at element level, explicit rabbit holes and no-gos. The output is a pitch — rough, solved, and bounded — not an exhaustive SRS.

Two Phases

Track progress through elicitation, gate check, and specification using available task tracking tools.

Phase 1 — Elicitation. Open-ended dialogue where Claude drives — synthesizing, probing, illustrating with inline diagrams, and using AskUserQuestion for structured trade-off decisions. Surfaces six elements through natural conversation following the shaping process: set boundaries, find elements, address risks, converge.

Phase 2 — Specification. Enter plan mode and write the shaped spec as the plan file. Nothing from Phase 1 survives as conversational residue. The artifact stands alone.

Context Loading

Load references only when the current phase needs them.

PhaseLoadDo NOT Load
Elicitation (opening)references/elicitation-guide.mdall others
Elicitation (after first exchange)references/audience-adaptation.mdgate-checklist, spec-production
Elicitation (complex/vague problems)references/shaping-techniques.mdgate-checklist, spec-production
Elicitation (entities emerge)references/domain-modeling.mdgate-checklist, spec-production
Gate checkreferences/gate-checklist.mdelicitation-guide, spec-production
Specificationreferences/spec-production.mdelicitation-guide, gate-checklist

Multiple elicitation references can be loaded concurrently as the conversation evolves. Only load what the conversation actually needs.

Phase 1: Elicitation

Load references/elicitation-guide.md and follow its protocol.

The elicitation conversation surfaces six elements:

  1. Problem — one specific story showing the broken status quo. Who is affected, what happens today without this system.
  2. Appetite — time budget and what it implies about scope. Not an estimate — a deliberate choice about how much this is worth.
  3. Solution — named elements with responsibilities. Key interaction flows at fat-marker level — concrete enough to build from, rough enough to leave room.
  4. Rabbit Holes — specific risks identified and patched with upfront decisions. Technical unknowns flagged for spikes.
  5. No-Gos — explicit exclusions that prevent scope creep during building. Sharper than "out of scope."
  6. Boundaries — non-functional constraints, must-haves vs. nice-to-haves, success criteria measured against the baseline.

Stakeholders emerge naturally within Problem. Domain loads on-demand via references/domain-modeling.md for complex problems. Acceptance criteria are embedded in Boundaries as success vs. baseline.

Audience calibration

After the first substantive exchange, load references/audience-adaptation.md. Detect whether the user is a customer, engineer, or PM from their language and framing — not from their title. Adapt vocabulary, visualization style, and emphasis accordingly. Re-calibrate when signals shift.

Shaping flow

  1. Opening — understand the raw idea: what is broken, who cares, what prompted this
  2. Set boundaries — surface appetite and no-gos early. The appetite constrains everything downstream.
  3. Find the elements — named components and interaction flows, not feature lists. Load references/shaping-techniques.md for complex or vague problems.
  4. Address risks — actively probe for rabbit holes. Load references/domain-modeling.md when entities and invariants emerge.
  5. Converge — notice when questions stop producing new information. State this observation explicitly.

Exit conditions

Apply all three, in order:

  1. Convergence detection. Notice when answers confirm rather than add. State this observation explicitly.
  2. Gate check. Load references/gate-checklist.md. Validate every gate. Present pass/fail to the user.
  3. Explicit approval. Halt and request confirmation before producing the spec. Never proceed without the user's "go."

Phase 2: Specification

Load references/spec-production.md.

Before entering plan mode, ask the user: "Where should this spec be saved?" Record the target path.

Enter plan mode. Write the plan file with an execution preamble (target path and action instruction) followed by the spec content. The plan must be self-contained — a fresh session reads it and knows exactly what to do with no elicitation context.

Exit plan mode for user review.

Scaling

  • Small feature: Problem + Appetite + Solution + No-Gos. Light Boundaries. Skip Domain.
  • Medium project: Full template.
  • Large system: Full template with solution elements grouped by area.

Rules

  1. Elicitation is a conversation, not a form. Explore, reflect, let the user correct. Do not interrogate with an element checklist.
  2. Never produce the spec without explicit approval. Gate checklist is necessary but not sufficient. The user's confirmation is the hard stop.
  3. Claude drives. Synthesize, propose, probe. Not "what else?" but "Based on X, I think Y — is that right?"
  4. Conversation content is ephemeral. Explanations, diagrams, AskUserQuestion interactions do NOT appear in the spec artifact.
  5. Adapt to the audience, not the role. Detect from language, re-calibrate when signals shift.
  6. Do not solve during elicitation. Surface elements and flows, not architecture. "Handle 10K users" is a boundary. "Use Redis" is a solution.
  7. Make the implicit explicit. Name implied requirements: "That implies authentication — should we include it or is that a rabbit hole?"
  8. Use AskUserQuestion only for structured trade-offs. Appetite sizing, priority resolution, boundary decisions, risk patching.
  9. Appetite before solution. Always surface how much this is worth before exploring what to build.

Additional Resources

Reference Files

  • references/elicitation-guide.md — Conversation protocol for Phase 1: opening questions, six elements, visualization patterns, convergence detection, anti-patterns
  • references/audience-adaptation.md — Detecting customer vs. engineer vs. PM from language; adapting vocabulary and emphasis
  • references/shaping-techniques.md — Decomposition and probing techniques: outcome backward, day-in-the-life, breadboarding, rabbit hole surfacing, and more
  • references/gate-checklist.md — Eight gates validating elicitation completeness before specification production
  • references/spec-production.md — Pitch-style spec template, section-by-section production instructions, scaling guidance
  • references/domain-modeling.md — Lightweight domain modeling through conversation: entities, relationships, invariants

平台分布

Codex

34.94%
按下载量换算22

Claude

28.94%
按下载量换算19

Cursor

16.49%
按下载量换算11

Gemini CLI

9.95%
按下载量换算6

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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