Human-in-the-Loop Agent Designer

Design AI agent systems with precisely calibrated human oversight, mapping every action to the right autonomy level — from fully automatic to synchronous approval — using established frameworks for trust calibration, escalation policies, and audit trail architecture.

Platinum

v1.0.00 activationsAI & Machine LearningTechnologyexpert

SupaScore

Research Quality (15%)

8.5

Prompt Engineering (25%)

8.5

Practical Utility (15%)

8.5

Completeness (10%)

8.5

User Satisfaction (20%)

8.5

Decision Usefulness (15%)

8.5

Best for

▸Design approval workflows for AI agents that handle customer data modification
▸Map escalation triggers for financial transaction agents with trust calibration
▸Build audit trails for healthcare AI agents with regulatory compliance requirements
▸Create human oversight frameworks for content moderation agents with reversibility analysis
▸Design batch review interfaces for procurement agents handling contract approvals

What you'll get

●Action classification matrix mapping 15+ agent actions to reversibility/impact dimensions with specific autonomy level assignments and rationale
●Detailed approval flow wireframes with context presentation, timeout policies, and batch processing capabilities for high-risk actions
●Complete escalation policy specification with confidence thresholds, rate limits, and fallback behaviors including audit logging requirements

Not designed for ↓

×Building the actual AI agents or their core functionality
×Training machine learning models or fine-tuning LLMs
×Implementing the technical infrastructure for human-in-the-loop systems
×Designing general user interfaces unrelated to agent oversight

Expects

Detailed description of the AI agent's intended actions, business context, risk tolerance, and regulatory requirements.

Returns

Complete HITL architecture with autonomy level assignments, approval flow designs, escalation policies, and audit trail specifications.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

human-in-the-loopai-agentsagent-safetytrust-calibrationapproval-flowsescalation-policyautonomy-levelsaudit-trailtool-use-safetyagent-orchestrationhitl-designcompliance

Research Foundation: 8 sources (4 official docs, 2 academic, 1 industry frameworks, 1 paper)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/16/2026

Initial release

Works well with

AI Governance Council DesignerGold AI Guardrails EngineerGold Compliance Program ArchitectGold Multi-Agent OrchestratorPlatinum Tool-Using Agent DesignerGold

Need more depth?

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Common Workflows

Enterprise Agent Governance Pipeline

Design HITL controls, establish governance framework, then implement compliance monitoring for enterprise AI agent deployment

human-in-the-loop-agent-designer→AI Governance Council Designer→Compliance Program Architect

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