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

v1.0.0

À propos de ce Skill

Scenario recommande : Ideal for AI agents that need haiku (junior-coder, docs, explainer, optimizer). Resume localise : escalation helps AI agents handle repository-specific developer workflows with documented implementation details.

Fonctionnalités

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)

# Sujets clés

monktui monktui
[0]
[0]
Mis à jour: 2/12/2026

Skill Overview

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

Scenario recommande : Ideal for AI agents that need haiku (junior-coder, docs, explainer, optimizer). Resume localise : escalation helps AI agents handle repository-specific developer workflows with documented implementation details.

Pourquoi utiliser cette compétence

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

Meilleur pour

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

Cas d'utilisation exploitables for escalation

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

! Sécurité et Limitations

  • Limitation : Exception: if the task is known to require Opus (architecture, cross-cutting), start there
  • Limitation : Do NOT Escalate When
  • Limitation : 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.

Démo Labs

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FAQ et étapes d’installation

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

? Questions fréquentes

Qu’est-ce que escalation ?

Scenario recommande : Ideal for AI agents that need haiku (junior-coder, docs, explainer, optimizer). Resume localise : escalation helps AI agents handle repository-specific developer workflows with documented implementation details.

Comment installer escalation ?

Exécutez la commande : npx killer-skills add monktui/git-review/escalation. Elle fonctionne avec Cursor, Windsurf, VS Code, Claude Code et plus de 19 autres IDE.

Quels sont les cas d’usage de escalation ?

Les principaux cas d’usage incluent : Cas d'usage : Applying Haiku (junior-coder, docs, explainer, optimizer), Cas d'usage : Applying Sonnet (coder, tech-lead, reviewer, qa, architect, explorer), Cas d'usage : Applying Opus (senior-coder, planner, red-teamer).

Quels IDE sont compatibles avec escalation ?

Cette skill est compatible avec 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. Utilisez la CLI Killer-Skills pour une installation unifiée.

Y a-t-il des limites pour escalation ?

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

Comment installer ce skill

  1. 1. Ouvrir le terminal

    Ouvrez le terminal ou la ligne de commande dans le dossier du projet.

  2. 2. Lancer la commande d’installation

    Exécutez : npx killer-skills add monktui/git-review/escalation. La CLI détectera automatiquement votre IDE ou votre agent et configurera la skill.

  3. 3. Commencer à utiliser le skill

    Le skill est maintenant actif. Votre agent IA peut utiliser escalation immédiatement dans le projet.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

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
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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

Compétences associées

Looking for an alternative to escalation or another community skill for your workflow? Explore these related open-source skills.

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