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yuanyuan-blueprint-workshop缘缘蓝图工作坊

Agent Skill

yuanyuan-blueprint-workshop 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

6,205

周安装

256

GitHub Stars

公开资料未说明

下载量

2,028
OpenClaw

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

MIT-0

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:yuanyuan-blueprint-workshop(缘缘蓝图工作坊)
来源仓库:https://github.com/beachanger/yuanyuan-blueprint-workshop
安装命令:
openclaw skills install yuanyuan-blueprint-workshop
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install yuanyuan-blueprint-workshop

简介

通过 5 步研讨会指导用户将隐性知识转化为包含场景、SOP、依赖关系和技能来源的可测试代理蓝图。

SKILL.md

name
yuanyuan-blueprint-workshop
description
Turn a person's tacit know-how into a testable Agent Blueprint through a structured 5-step workshop: scenario discovery, SOP extraction, dependency mapping, blueprint generation, and skill sourcing. Use when helping someone discover whether they have a reusable method and transform it into a buildable lobster-agent blueprint.

Yuanyuan Blueprint Workshop

Purpose

This skill packages the full Yuanyuan workflow into one reusable workshop.

Its job is not to magically generate a finished product from one vague sentence. Its job is to help a user:

  1. discover a real scenario worth turning into an agent,
  2. extract their implicit know-how,
  3. map the required knowledge and tools,
  4. produce a real Agent Blueprint,
  5. plan how the missing skills should be sourced.

Use this skill when

Use it when the user says things like:

  • “I think I have some experience, but I don't know if it can become an agent.”
  • “Help me turn my know-how into a lobster agent.”
  • “I want to productize my method.”
  • “Help me figure out whether this workflow is structured enough.”
  • “Take me from idea → blueprint → skill gap plan.”

Do NOT use this skill when

  • The user only wants a small factual answer.
  • The user already has a finished blueprint and only needs implementation.
  • The user asks for direct coding or deployment without discovery.
  • The task is only to install/publish one isolated skill.

Core promise

This workshop should produce two feelings for the user:

  1. “The AI actually understands what I'm good at.”
  2. “Aha — I really do have a reusable method.”

If the interaction feels like a cold questionnaire or generic encouragement, the skill is failing.


Hard rules

  1. Do not jump straight into full product generation before structure is clear.
  2. Do not confuse domain knowledge with decision logic.
  3. Do not overpromise that every idea deserves to become an agent.
  4. Do not replace user delivery with a file path.

- Save files internally if useful. - But when delivering a blueprint or structured result, send the full content directly in the chat.

  1. Do not install many skills blindly.

- First reuse local capabilities. - Then search ClawHub. - Then vet/scan. - Only then install or write new skills.


The 5-step workshop

Step 1 — Scenario Discovery

Goal: narrow a vague direction into one concrete, testable scenario.

Questions to drive:

  • What are you consistently better at than most people?
  • What do people repeatedly come to you for?
  • If we only productize one scenario first, which one should it be?

Judging standard:

  • Input can be defined
  • Judgment can be structured
  • Output can be verified

Output:

  • scenario definition
  • target user
  • core task
  • initial verdict: suitable / not yet suitable

Step 2 — SOP Extraction

Goal: extract the actual method, not just abstract knowledge.

Methods:

  • Ask “When someone comes to you for this, how do you usually handle it?”
  • Continuously restate structure back to the user
  • Push on judgment criteria, branches, exceptions, and mistakes

Output:

  • step list
  • judgment points
  • branch logic
  • common pitfalls
  • unclear gaps that still need follow-up

Step 3 — Knowledge & Tools Mapping

Goal: identify what this future agent needs in order to really work.

Distinguish:

  • public knowledge layer
  • skill-private references
  • real tools / APIs / automation dependencies

Output:

  • knowledge sources
  • tool dependencies
  • priority of dependencies
  • minimal viable dependency set

Step 4 — Agent Blueprint Generation

Goal: turn the findings into a buildable blueprint.

The blueprint should at minimum include:

  1. scenario definition
  2. target user
  3. core task
  4. SOP flow
  5. judgment rules
  6. knowledge requirements
  7. skill/tool requirements
  8. risks and boundaries
  9. test suggestions
  10. next build steps

Delivery rule:

  • Give the user the full blueprint directly in chat.
  • Saving a file is optional internal archiving, not the deliverable itself.

Step 5 — Skill Sourcing Plan

Goal: connect the blueprint to the platform layer.

Use this order:

reuse local
→ search ClawHub
→ vet/scan
→ install if suitable
→ otherwise write the missing skill

Output:

  • capability gaps
  • locally reusable skills
  • ClawHub search targets
  • likely self-built skills
  • fill order

Recommended final deliverables

By the end of this workshop, aim to produce:

  1. a Scenario Definition,
  2. a Structured SOP,
  3. a Dependency Map,
  4. a Full Agent Blueprint,
  5. a Skill Sourcing Plan.

Success criteria

The workshop is working if the user says things like:

  • “Yes, that's exactly my real value.”
  • “I didn't realize my process was this clear.”
  • “Now I can actually imagine this becoming an agent.”

The workshop is failing if it turns into:

  • generic praise,
  • shallow summarization,
  • premature system design,
  • or path-only delivery.

References

Use the files under references/ and templates/ for deeper context and output scaffolds.

适合场景

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用户想查找某类 Agent Skill 时

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能力概览

能力 1

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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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

75.09%
按下载量换算1,523

安全审计

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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

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来源信息

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