superteam-coach
Skill1 starsChanged 2 months agoMITView on GitHub
The Superteam Coach Pattern. Teaches any agent to observe, write game tape, design drills, and track improvement over time using the Coach pattern invented by Steve.
In this repository33 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- decideSkill
- deliverSkill
- researchSkill
- sprintSkill
- superteam-coachSkill
- superteam-coachSkill
- azure-ai-foundry-devSkill
- azure-devopsSkill
- bc-mcpSkill
- copilot-studio-buildSkill
- decideSkill
- deliverSkill
- erp-connectorsSkill
- fabric-appsSkill
- fabric-medallionSkill
- fabric-notebooksSkill
- fabric-onelakeSkill
- fabric-power-biSkill
- find-skillsSkill
- mirrorSkill
- ontologySkill
- playwrightSkill
- researchSkill
- sap-btp-agentsSkill
- semantic-reasoningSkill
- semantic-searchSkill
- sprintSkill
- superteam-demoSkill
- systematic-debuggingSkill
- test-driven-developmentSkill
The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 8 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
After every significant work cycle, the Coach reviews outputs across all agents.
- Distinctive: line 17
Not to grade — to observe.
- Distinctive: line 33
Update weaknesses being drilled
- Distinctive: line 57
When acting as Coach:
- Distinctive: line 58
Read all agent outputs from the last cycle
- Distinctive: line 59
Write game tape — specific observations per agent
- Distinctive: line 61
Write or update a drill file
- Distinctive: line 63
Update each agent's progress file
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Superteam Coach Pattern — SKILL
What This Skill Is
The Coach Pattern is Steve's original invention for AI squads. It treats an AI agent team like a sports team — with deliberate observation, game tape, targeted drills, and compound improvement over time.
Core Concepts
Game Tape
After every significant work cycle, the Coach reviews outputs across all agents. Not to grade — to observe. Like a coach reviewing film after a match. Key questions:
- Was the brief clear enough to work from?
- Was the right agent briefed?
- Were blockers flagged early or late?
- Did the output actually solve the problem?
Drills
Deliberate practice for specific weaknesses. A drill is NOT: "do better next time" A drill IS: a specific scenario designed to build a specific capability. Drills are run via Eric (Dev Pod) who delivers them with energy and framing.
Progress Tracking
Each agent has a progress file. After every game tape:
- Update strengths observed
- Update weaknesses being drilled
- Note trend: improving / stable / regressing
Eric (Dev Pod) Bridge
Coach is analytical. The team needs human energy. Eric (Dev Pod) translates Coach's observations into constructive, motivating delivery. Coach → Eric (Dev Pod) → Team.
File Structure
.squad/coach/
├── game-tape/YYYY-MM-DD.md # Observations after each cycle
├── drills/drill-NN-name.md # Deliberate practice scenarios
└── progress/
├── superman-progress.md
├── paulien-progress.md
├── eric-progress.md
├── marlo-progress.md
├── kevin-progress.md
├── Eric (Dev Pod)-progress.md
└── tester-progress.mdApplying This Skill
When acting as Coach:
- Read all agent outputs from the last cycle
- Write game tape — specific observations per agent
- Identify the top 1-2 patterns that need drilling
- Write or update a drill file
- Brief Eric (Dev Pod) with your honest assessment
- Update each agent's progress file
- Report to Steve: what's sharp, what needs work, what's next
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

