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work-operating-model

Convert tacit work patterns into structured operating model files.

4.4k|856|Updated Mar 11, 2026
Search Tags:#workflow#mcp#interview#agent-config#operating-model#memory-capture#open-brain
One-click install
npx skills add https://github.com/NateBJones-Projects/OB1 --skill work-operating-model-natebjones-projects
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: work-operating-model
Source: https://github.com/NateBJones-Projects/OB1/tree/main/skills/work-operating-model
Command: npx skills add https://github.com/NateBJones-Projects/OB1 --skill work-operating-model-natebjones-projects

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps people surface and structure tacit work patterns that live in their heads or scattered notes, turning vague routines and hidden dependencies into a confirmed, machine-readable operating model that an agent can act on.

Core Features & Use Cases

  • Five-layer interview that elicits operating rhythms, recurring decisions, dependencies, institutional knowledge, and friction using concrete recent examples.
  • Checkpointed saves and confirmation so nothing is persisted without explicit user approval, with one concise summary thought captured per layer.
  • Agent-ready exports including operating-model.json, USER.md, SOUL.md, HEARTBEAT.md, and schedule-recommendations.json for downstream automation or agent configuration.
  • Integration with Open Brain and MCP tools to run sessions, save canonical entries, run contradiction checks, and generate exports.

Quick Start

Ask the skill: "Interview me for my operating model" to start a five-layer elicitation, confirm checkpoints, save approved summaries, and produce USER.md and operating-model.json.

Frequently Asked Questions about work-operating-model

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert tacit work patterns into an agent-ready operating model?▼

The skill launches a conversational interview that elicits operating rhythms, recurring decisions, dependencies, institutional knowledge, and friction using concrete recent examples, then synthesizes your answers into structured, machine-readable files.

What files do I need to configure an agent with a captured operating model?▼

An agent-ready operating model generates USER.md, SOUL.md, HEARTBEAT.md, operating-model.json, and schedule-recommendations.json, providing canonical memory capture and schedule automation endpoints for agent configuration.

Does the operating model interview save data automatically without asking?▼

No, the operating model interview uses checkpointed saves and requires explicit user confirmation before persisting any data, ensuring nothing is stored without your approval. It captures one concise summary per interview layer.

Can I use MCP tools to run sessions and save operating model entries?▼

Yes, the skill integrates with Open Brain and MCP tools to run interview sessions, save canonical entries, run contradiction checks, and generate operating model exports for downstream automation.

What is the best way to map recurring work decisions and institutional knowledge for an AI agent?▼

The best way is a five-layer interview that elicits operating rhythms, recurring decisions, dependencies, institutional knowledge, and friction using concrete recent examples, then synthesizes them into structured files an agent can act on.

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