ai-domain-insurance-claims-automation-skill-2026
Despliega soluciones de IA para insurance claims automation con arquitectura modular, metricas auditables y decisiones alineadas al contexto del dominio.
Skill by FDU-INS
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/fdu-ins-ai-domain-insurance-claims-automation-skill-2026
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ai-domain-insurance-claims-automation-skill-2026
What's inside
- Skill 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.
- License
- Apache-2.0
- Instructions
- 47 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- compatibility: must be text of at most 500 characters
Files (8)
- README.md
- SKILL.md
- .gitkeep · assets/
- prompts.md · examples/
- .gitkeep · references/
- quality-gates.md · references/
- .gitkeep · scripts/
- skill.meta.json
SKILL.md (first lines)
# 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."
From FDU-INS/Insurance-Skills, Apache-2.0.
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Signals
- Stars
- 80
- Forks
- 18
- Open issues
- 1
- Last commit (this folder)
- May 18, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/FDU-INS/Insurance-Skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
ai-domain-insurance-claims-automation-skill-2026. Agent Mart. https://agentmart.dev/skills/fdu-ins-ai-domain-insurance-claims-automation-skill-2026 (last updated 2026-10-24)