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work-operating-model

Convert tacit work patterns into structured Open Brain operating-model records and export files.

Updated Apr 29, 2026
Search Tags:#agent configuration#MCP tools#workflow documentation#vector memory#operating model#memory capture#process interviewing
One-click install
npx skills add https://github.com/Greyborne/OB1-Canobi --skill work-operating-model-greyborne
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: work-operating-model
Source: https://github.com/Greyborne/OB1-Canobi/tree/main/skills/work-operating-model
Command: npx skills add https://github.com/Greyborne/OB1-Canobi --skill work-operating-model-greyborne

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of unclear, tacit work knowledge by turning how you actually operate into structured Open Brain records that an agent can use.

Core Features & Use Cases

  • Five-layer interview: captures operating rhythms, recurring decisions, dependencies, institutional knowledge, and friction in a fixed order.
  • Confirmation-first saving: searches only provide hints, and each layer is saved only after you explicitly confirm or correct the checkpoint.
  • Agent-ready exports: generates operating-model.json plus USER.md, SOUL.md, HEARTBEAT.md, and schedule-recommendations.json for downstream use.

Quick Start

Ask your AI client to run the Work Operating Model skill to interview you for your operating model and generate USER.md, SOUL.md, and the full export artifacts.

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?▼

Capturing tacit work patterns involves a five-layer interview that documents operating rhythms, recurring decisions, dependencies, institutional knowledge, and friction, saving them as structured operating-model records after explicit confirmation.

What files do I need to generate an agent-ready operating model export?▼

An agent-ready operating model export generates operating-model.json plus USER.md, SOUL.md, HEARTBEAT.md, and schedule-recommendations.json to provide downstream AI clients with structured workflow documentation.

Do I need base Open Brain search tools to document my workflow?▼

Yes, you need base Open Brain search and capture tools plus the Work Operating Model recipe MCP tools to run the interview, execute contradiction passes, and save only confirmed synthesized patterns.

How does the operating model interview handle memory capture and confirmation?▼

Memory capture during the interview uses search results only as hints, saving each layer exclusively after you explicitly confirm or correct the checkpoint, ensuring no unverified patterns are stored.

Can I use vector memory to identify friction from concrete recent work examples?▼

Yes, the process surfaces friction and dependencies from concrete recent examples by applying a contradiction pass to vector memory hints, saving only user-approved synthesized patterns into the operating-model records.

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