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Agent Operations Playbooks

A field-ready collection for teams operating AI agents beyond demos. Each skill creates a concrete artifact with required inputs, review gates, failure conditions, and a reusable output contract. The prompts emphasize least privilege, bounded context, observable handoffs, and recoverable execution.

Use case: Designing and operating reliable multi-agent workflows
Audience: AI engineers, technical leads, and operations teams
Tools: ChatGPT · Claude · OpenAI Codex

Production Pipeline

Suggested Execution Order

Agent Skill • TS/JSON
Prompt 01
skill

OpenBao Secret Boundary Planner

Map every agent credential to a least-privilege boundary, rotation policy, failure mode, and human owner before implementation begins.

Agent Skill • TS/JSON
Prompt 02
skill

Buzz Hive Team Topology Designer

Design a bounded hive of specialist agents with explicit roles, message routes, quorum rules, and escalation points.

Agent Skill • TS/JSON
Prompt 03
skill

Context Window Budgeter

Allocate a finite context budget across instructions, evidence, memory, tools, working notes, and the final answer without losing critical facts.

Agent Skill • TS/JSON
Prompt 04
skill

Agent Handoff Contract Writer

Turn an informal agent handoff into a verifiable contract covering state, evidence, authority, completion, and rollback.

Agent Skill • TS/JSON
Prompt 05
skill

Agent Failure Recovery Runbook

Build a practical recovery runbook for timeouts, tool errors, partial writes, stale context, unsafe output, and repeated agent loops.

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