yuanyuan-blueprint-workshop
by beachanger
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.
安装
claude skill add --url github.com/openclaw/skills/tree/main/skills/beachanger/yuanyuan-blueprint-workshop文档
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.
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:
- scenario definition
- target user
- core task
- SOP flow
- judgment rules
- knowledge requirements
- skill/tool requirements
- risks and boundaries
- test suggestions
- 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:
- a Scenario Definition,
- a Structured SOP,
- a Dependency Map,
- a Full Agent Blueprint,
- 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.