Claude Code Agent Team
Turn One YouTube Demo into a Real Learning Journey
A workshop-style journey built from the sample video about Claude Code, skills, and MCP. The goal is not just to watch the demo, but to rebuild the workflow, adapt it to your own work, and capture proof.
After you save this
getsavv makes completed learning legible: program, date, and the artifact you shipped — shareable proof, not vapor.
Continue with clarity
The saved item should reopen into a clear next step.
Track meaningful progress
Progress should show stages completed and workflows rebuilt.
Capture proof of work
The goal is a visible artifact, not just a saved reference.
Audience
Operators, PMMs, and builders who want to move from AI demos to repeatable workflows
Format
Workshop · 5 stages, 60-90 minutes
Level
Intermediate
Curriculum
Module 1
Watch for structure, not hype
Identify the problem, tools, and concrete workflow shown in the video.
Module 2
Extract the parts
List Claude Code, skills, MCP, and any supporting tools or files used in the demo.
Module 3
Rebuild the minimum version
Create one skill, connect one MCP source, and run one small end-to-end task.
Module 4
Adapt it to your own work
Swap the demo use case for your own notes, PMM workflow, research process, or content system.
Module 5
Capture what you built
Write notes, save artifacts, and define what completion means for this workflow.
Outcomes
- Extract the actual workflow from a video instead of treating it like inspiration only
- Set up a minimal Claude Code environment with one skill and one MCP connection
- Adapt the workflow to a real use case such as research, notes, or content operations
- Capture what you built so the learning journey ends in proof, not another saved link
Academic Foundations
David A. Kolb · 1984
Experiential Learning
Frames learning as a cycle of concrete experience, reflection, conceptualization, and experimentation.
Peter C. Brown, Henry L. Roediger III, Mark A. McDaniel · 2014
Make It Stick
Synthesizes learning science around retrieval, spacing, interleaving, and generation for durable skill building.
Journey
How this should turn into capability inside getsavv
Saving a strong source should push the learner through a visible sequence from extraction to proof.
Step 1
Add
Save the cohort, challenge, course, or workshop you want to finish.
Step 2
Plan
Turn the program into a concrete completion checklist with the right next step.
Step 3
Complete
Move from enrolled to in progress to completed with visible momentum.
Step 4
Capture
Attach the artifact, workflow, doc, or demo that proves the work happened.
Step 5
Publish
Share one public proof page showing the program, date, and outcome.
Values
The values that should stay visible while learning from this source
Completion before collection
The product should prioritize finished programs over saved intent.
Proof over certificates
A visible artifact matters more than a badge with no work attached.
Make evidence shareable
Every completed program should be easy to share with recruiters, managers, or instructors.
Keep the next step obvious
Progress should reopen into one concrete action, not a vague reminder to come back later.