---

name: "ai-domain-insurance-claims-automation-skill-2026" description: "Despliega soluciones de IA para insurance claims automation con arquitectura modular, metricas auditables y decisiones alineadas al contexto del dominio." version: "1.0.0" domain: "domain-ai" quality_tier: "expert" compatibility:

• claude-code
• codex owner: "yonatanguerrerosoriano" tags:
• "domain-ai"
• "industry-ai"
• "automation"
• "decision-systems"
• "2026" foundation_skills:
• "optimization-foundations"
• "probability-foundations"
• "statistics-inference-foundations"
• "testing-verification-foundations"
• "security-threat-modeling-foundations"
• "debugging-causal-reasoning-foundations"

---

Ai Domain Insurance Claims Automation Skill 2026 Skill

Mission

Despliega soluciones de IA para insurance claims automation con arquitectura modular, metricas auditables y decisiones alineadas al contexto del dominio.

When to use

• When the user asks for a repeatable workflow in this domain.
• When a specialized checklist improves speed or quality.

Inputs expected

• Task objective and expected output.
• Relevant files, paths, or system constraints.
• Any non-negotiable requirements (security, style, deadlines).

Workflow

1. Understand scope, assumptions, and risks.
2. Execute the workflow in a deterministic order.
3. Verify outcomes and report any limitations clearly.

Output contract

Provide results in this order: key outcome, concrete changes, validation status, next steps.

Guardrails

• Never fabricate facts, outputs, or tool results.
• Ask for confirmation before destructive operations.
• Prefer minimal, reversible changes when uncertain.

Foundations

• optimization-foundations
• probability-foundations
• statistics-inference-foundations
• testing-verification-foundations
• security-threat-modeling-foundations
• debugging-causal-reasoning-foundations

Logical reliability checklist

• Assumptions are explicit and separated from verified facts.
• The solution path is justified with clear reasoning steps.
• Edge cases and contradiction checks are included.
• Output is testable, auditable, and reversible when possible.

Example prompts

• "Apply the ai-domain-insurance-claims-automation-skill-2026 skill to handle this task end-to-end."
• "Run ai-domain-insurance-claims-automation-skill-2026 and produce a production-ready output with validation notes."