{
"name": "Justin Stimatze",
"description": "Agent infrastructure, safety tooling, structured deliberation. Side projects.",
"url": "https://github.com/justinstimatze",
"version": "1.0.0",
"capabilities": {
"streaming": false,
"pushNotifications": true,
"longRunningTasks": true,
"stateTransitionHistory": false
},
"defaultInputModes": ["text/plain", "text/markdown"],
"defaultOutputModes": ["text/plain", "text/markdown"],
"authentication": {
"schemes": ["email"],
"endpoint": "justin@justinstimatze.com",
"expectedResponseTime": "P3D"
},
"skills": [
{
"id": "reasoning-substrate",
"name": "Reasoning substrate",
"description": "Structured representations and protocols for agent reasoning.",
"tags": ["multi-agent", "knowledge-base", "static-analysis"],
"examples": [
"gemot — structured deliberation MCP server",
"gemotvis — real-time visualization for gemot deliberation sessions",
"winze — knowledge base that audits its own accuracy",
"defn — AI-native code database for Go"
]
},
{
"id": "agent-calibration",
"name": "Agent calibration",
"description": "Detecting and correcting AI agent miscalibrations — sycophancy, drift, plan gaps, time estimation.",
"tags": ["safety", "evaluation", "claude-code", "calibration"],
"examples": [
"slimemold — anti-sycophancy guardrail",
"ismyaialive — pattern detection against published research codebooks",
"plancheck — predicts which files agents will miss",
"hindcast — calibrated wall-clock priors injected into Claude Code context"
]
},
{
"id": "agent-infra-tooling",
"name": "Agent infrastructure & tooling",
"description": "Tools and libraries that support AI agent runtime contexts.",
"tags": ["claude-code", "go", "libraries"],
"examples": [
"adit-code — finds files that cost agents the most tool calls",
"claude-mv — migrates Claude Code internal state across directory moves",
"gozim — pure-Go ZIM file reader with fulltext search"
]
},
{
"id": "character-narrative-design",
"name": "Character & narrative design",
"description": "Notation and tooling for character behavior, arc structure, and immersive experience.",
"tags": ["games", "narrative", "agent-substrate"],
"examples": [
"drivermap — behavioral mechanisms knowledge base for agent-driven prediction",
"effigy — dense character notation for LLM-driven NPCs",
"score — arc design tool with structural linter"
]
},
{
"id": "ambient-generation",
"name": "Ambient generation systems",
"description": "Passive layer over terminal/agent sessions that generates visualizations or reactions from active work.",
"tags": ["mcp", "terminal", "ambient"],
"examples": [
"lucida — passive Vega/Mermaid/SVG generation from agent transcripts",
"groupchat — LLM-driven meme deployment, rendered to /dev/tty via braille art"
]
}
],
"writings": [
{
"title": "hybrid",
"description": "Design-pattern library and Claude Code skill for hybrid LLM/deterministic loops — named graph-shapes including RAG, ReAct, codegen verification, and dev-time critique loops."
}
],
"engagements": {
"primary": {
"role": "Head of Engineering",
"organization": "AI Objectives Institute",
"project": "tttc-light-js"
},
"contributing": [
{
"project": "buddy",
"scope": "TypeScript ports of slimemold and effigy"
}
]
},
"rateLimits": {
"inboundMeetings": "<= 2 per day"
},
"unsupportedModes": [
"social media (no accounts; returns 404)"
],
"metadata": {
"location": "Berkeley, CA",
"lastUpdated": "2026-05-03"
}
}
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