escalation — for Claude Code escalation, git-review, community, for Claude Code, ide skills, capability-diagnostic, junior-coder, explainer, optimizer, failure

v1.0.0

About this Skill

Ideal for AI agents that need haiku (junior-coder, docs, explainer, optimizer). escalation is an AI agent skill for haiku (junior-coder, docs, explainer, optimizer).

Features

Haiku (junior-coder, docs, explainer, optimizer)
Sonnet (coder, tech-lead, reviewer, qa, architect, explorer)
Opus (senior-coder, planner, red-teamer)
ALWAYS try the next tier first before jumping to Opus
Haiku → Sonnet → Opus (never Haiku → Opus directly)

# Core Topics

monktui monktui
[0]
[0]
Updated: 2/12/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Ideal for AI agents that need haiku (junior-coder, docs, explainer, optimizer). escalation is an AI agent skill for haiku (junior-coder, docs, explainer, optimizer).

Core Value

escalation helps agents haiku (junior-coder, docs, explainer, optimizer). escalation helps AI agents handle repository-specific developer workflows with documented implementation details.

Ideal Agent Persona

Ideal for AI agents that need haiku (junior-coder, docs, explainer, optimizer).

Capabilities Granted for escalation

Applying Haiku (junior-coder, docs, explainer, optimizer)
Applying Sonnet (coder, tech-lead, reviewer, qa, architect, explorer)
Applying Opus (senior-coder, planner, red-teamer)

! Prerequisites & Limits

  • Exception: if the task is known to require Opus (architecture, cross-cutting), start there
  • Do NOT Escalate When
  • Agent needs more context (add skills/instructions instead)

About The Source

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is escalation?

Ideal for AI agents that need haiku (junior-coder, docs, explainer, optimizer). escalation is an AI agent skill for haiku (junior-coder, docs, explainer, optimizer).

How do I install escalation?

Run the command: npx killer-skills add monktui/git-review/escalation. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for escalation?

Key use cases include: Applying Haiku (junior-coder, docs, explainer, optimizer), Applying Sonnet (coder, tech-lead, reviewer, qa, architect, explorer), Applying Opus (senior-coder, planner, red-teamer).

Which IDEs are compatible with escalation?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for escalation?

Exception: if the task is known to require Opus (architecture, cross-cutting), start there. Do NOT Escalate When. Agent needs more context (add skills/instructions instead).

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add monktui/git-review/escalation. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use escalation immediately in the current project.

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

escalation

Install escalation, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

Model Escalation

Escalation Tiers

Haiku (junior-coder, docs, explainer, optimizer)
  ↓ on failure
Sonnet (coder, tech-lead, reviewer, qa, architect, explorer)
  ↓ on failure
Opus (senior-coder, planner, red-teamer)

Never Skip Tiers

  • ALWAYS try the next tier first before jumping to Opus
  • Haiku → Sonnet → Opus (never Haiku → Opus directly)
  • Each tier gets ONE attempt before escalation
  • Exception: if the task is known to require Opus (architecture, cross-cutting), start there

Escalation Signals

Escalate to the next tier when:

  • Test failures: Agent's code fails tests and agent can't fix in one retry
  • Clippy warnings: Agent introduces warnings it can't resolve
  • Wrong output schema: Agent produces output that doesn't match expected format
  • Tech-lead BLOCKED twice: Tech-lead rejects the same agent's work twice on the same task
  • Task timeout: Agent exceeds expected completion time by 2x
  • Repeated hook blocks: Agent triggers enforcement hooks 3+ times on the same operation

Do NOT Escalate When

  • Task is simply large (break it down instead)
  • Agent needs more context (add skills/instructions instead)
  • Infrastructure error (retry, don't escalate)
  • First-time failure on a reasonable task (retry once at same tier)

Escalation Protocol

  1. Diagnose the failure (see capability-diagnostic skill)
  2. Determine if it's a model capability issue (Step 3 of diagnostic)
  3. If yes: re-assign task to next tier agent with original prompt + "Previous attempt failed because: [reason]"
  4. If no: fix the actual issue (context, tools, spec) and retry at same tier

Tracking

  • Log escalations to claude-mem: "Escalated [task type] from [tier] to [tier] because [reason]"
  • After 3+ escalations of the same task type → update agent-routing defaults
  • The optimizer agent reviews escalation patterns periodically

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