career-ops-workflow

Automates phased Gmail auditing, classification and execution with dry-run safety gates for Bob-AICompanion career operations workflows.

Updated Jan 27, 2026
One-click install
npx skills add https://github.com/GrizzwaldHouse/Bob-AICompanion --skill career-ops-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: career-ops-workflow
Source: https://github.com/GrizzwaldHouse/Bob-AICompanion/tree/main/skills/career-ops-workflow
Command: npx skills add https://github.com/GrizzwaldHouse/Bob-AICompanion --skill career-ops-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Career Ops module workflow provides a disciplined, phase-gated approach to auditing Gmail inboxes, classifying results, and executing actions with safety checks, reducing risk of unintended mutations.

Core Features & Use Cases

  • Enforces a three-phase pipeline (Audit -> Classify -> Execute) with dry-run safety gates.
  • Uses Marcus check-in protocol for formal approvals and governance of label taxonomies.
  • Logs all audit and classification results in MongoDB to support traceability and compliance.

Quick Start

Load the Career Ops workflow into Bob-AICompanion and begin operating under phase-gated safety constraints.

Frequently Asked Questions about career-ops-workflow

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

FAQPage Schema
What is a phase-gated Gmail audit workflow and how does it prevent unintended mutations?

A phase-gated Gmail audit workflow enforces a strict three-phase pipeline—Audit, Classify, and Execute—using dry-run safety gates to prevent unintended email mutations. It requires formal Marcus check-in approvals before advancing between phases.

How do I automate Gmail inbox classification and execution with safety gates?

You automate Gmail classification by loading a phase-gated workflow that processes inbound emails through Audit, Classify, and Execute stages. Dry-run safety gates halt execution between phases, requiring formal check-in approvals before applying any actions to your inbox.

Does this Gmail workflow support MongoDB-backed audit logs for compliance traceability?

Yes, the workflow logs all Gmail audit and classification results in MongoDB-backed audit logs. This ensures full traceability and compliance by maintaining a persistent record of every action evaluated across the three-phase pipeline.

Can I enforce label taxonomy governance and formal check-ins for Gmail email processing?

Yes, you can enforce label taxonomy governance using the Marcus check-in protocol. This protocol requires formal approvals at each safety gate, ensuring that all label classifications and subsequent execution tasks remain governed and auditable.

What's the best way to safely execute inbound email actions without risking unintended mutations?

The safest approach is using a dry-run gated pipeline that separates API, service, and repository concerns. By isolating execution logic and requiring formal check-in approvals, dry-run phases validate actions before any permanent mutations occur.

Why does the workflow separate API, service, and repository layers during Gmail auditing?

The workflow separates API, service, and repository layers to maintain a strict architecture that isolates Gmail interactions from business logic and MongoDB persistence. This separation enforces safety boundaries and ensures phase-gated compliance.