Yuanyuan Blueprint Workshop
Skill by beachanger
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/beachanger/yuanyuan-blueprint-workshopname: 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:
- discover a real scenario worth turning into an agent,
- extract their implicit know-how,
- map the required knowledge and tools,
- produce a real Agent Blueprint,
- 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:
- “The AI actually understands what I'm good at.”
- “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
- Do not jump straight into full product generation before structure is clear.
- Do not confuse domain knowledge with decision logic.
- Do not overpromise that every idea deserves to become an agent.
- 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.
- 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.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-beachanger-yuanyuan-blueprint-workshop": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
fitclaw-public-core
Public-safe FitClaw coaching workflow covering onboarding, hydration, nutrition, and training structure. Use when demonstrating a reusable AI fitness coaching method without exposing private user data or live production configuration.
project-retrospective
自动项目复盘机制。当完成复杂项目后,自动提取最优路径生成skill,并记录踩坑经验到memory。
benchmark-lobster-forge
用元认知引导发现值得被做成小龙虾的机会点,并将其收敛为可开箱即用的基准 Agent 小龙虾。
collab-to-skill
将“人类 + Agent”共同打磨出来的流程、决策与方法,提炼成可复用的 Skill。适用于把高质量协作过程从聊天/项目推进中抽取出来,沉淀为可分发的技能包。