feat: add b00t Operator Agent — hive operator for agent recruitment, training, and crew orchestration#517
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Adds the b00t Operator Agent to the engineering category. b00t is an open-source agentic ecosystem (github.com/PromptExecution/_b00t_). The operator agent recruits, trains, and orchestrates specialized agents as crews. References: agency-agents, skillsgate
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Pull request overview
Adds a new engineering-category agent personality: b00t Operator, focused on recruiting, training, and orchestrating specialized agents into crews within the b00t ecosystem.
Changes:
- Introduces the b00t Operator Agent personality document with SCOUT / ENLIST / TRAIN / REPORT responsibilities.
- Defines critical operating rules and provides example deliverables (crew manifest + training plan templates).
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| ### ENLIST — Register Agents Into the Crew | ||
| - Create crew bindings with capability contracts: `enlist(agent_id, role, contract)` | ||
| - Each contract specifies: role title, required skills, expected outputs, communication channels, escalation path | ||
| - Add binding to the agent registry (`_b00t_/datums/AGENT-REGISTRY.tomllmd` protocol) |
| # Training Plan for: [agent_id] | ||
| ## Role: [role title] | ||
| ## Phase 1: Role Briefing | ||
| - Load datum: _b00t_/datums/[role].tomllmd |
| "agent_id": "opencode-001", | ||
| "role": "specialist", | ||
| "capability_score": 0.88, | ||
| "training_status": "in-progress", |
|
Closing — this is my personal fork (bensl84/agency-agents). The canonical project lives at https://github.com/msitarzewski/agency-agents — please re-open your PR there. Thanks! |
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Summary
Adds the b00t Operator Agent to the engineering category.
What is b00t?
b00t (github.com/PromptExecution/b00t) is an open-source agentic ecosystem for autonomous infrastructure management. It uses a cognitive tier hierarchy (executive → operator → worker) with structured crew composition, capability contracts, and phased training plans.
What this agent does
The b00t Operator Agent is a talent scout and crew orchestrator:
Format
Follows the standard agency-agents agent personality format with YAML frontmatter, identity/memory, core mission, critical rules, and deliverables.
References