
escalation-design
When and how AI should escalate to humans, refuse, or ask for clarification.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/owl-listener/ai-design-skills --skill escalation-design- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads escalation-design automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Escalation Design
Escalation is what happens when the AI reaches the boundary of what it should handle alone. Designing escalation well means the user gets help instead of a dead end — and the AI knows its limits.
Escalation Triggers
The AI should escalate when:
- Confidence is low: The AI isn't sure its output is correct or helpful
- Stakes are high: The decision has significant consequences (financial, medical, legal, safety)
- Emotional distress: The user shows signs of crisis, distress, or vulnerability
- Ambiguity is unresolvable: The AI can't determine intent even after clarification
- Scope boundary: The request is outside what the AI is designed to handle
- Policy boundary: The request approaches or crosses a guardrail
- Conflict: The user disagrees with the AI and the disagreement can't be resolved
Escalation Types
- To human support: Transfer to a human agent with full context
- To the user themselves: "This decision is yours to make" — handing back agency
- To a specialist: Routing to domain-specific help (medical, legal, technical)
- To a supervisor/admin: Flagging for organisational review
- Self-escalation: The AI flags its own output for review before delivering it
Designing the Escalation Experience
The user's experience of escalation matters:
- Context transfer: When escalating to a human, pass the full conversation. Don't make the user repeat themselves.
- Warm handoff: "I'm connecting you with someone who can help with this" — not a cold redirect.
- Expectation setting: Tell the user what will happen next and how long it might take.
- Graceful degradation: If no human is available, offer alternatives — not a dead end.
- Dignity: Never make the user feel stupid for needing escalation.
Escalation Anti-Patterns
- The infinite loop: AI keeps trying instead of escalating, frustrating the user
- Premature escalation: AI escalates when it could easily handle the request, annoying the user
- Context loss: User has to start over after escalation
- Blame shifting: AI implies the user caused the problem
- Hidden escalation: Escalation happens without the user knowing
Design Artefacts
- Escalation trigger matrix: Trigger | Threshold | Escalation Type | User Experience
- Escalation flow diagrams per feature
- Context handoff specifications
- Fallback path designs for when escalation isn't available
- Escalation quality metrics
FAQ
What does the escalation-design skill do?
When and how AI should escalate to humans, refuse, or ask for clarification.
How do I install escalation-design?
Run npx skills add https://github.com/owl-listener/ai-design-skills --skill escalation-design in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/escalation-design/ (personal) or .claude/skills/escalation-design/ (project).
Which AI agents can use escalation-design?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is escalation-design safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains escalation-design?
It is published by owl-listener in owl-listener/ai-design-skills. It has 132 recorded installs.
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