Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Finance & Trading
Insurance Operations Automation
Automates insurance workflows including underwriting, claims triage, policy management, renewals, compliance, and broker operations with industry benchmarks.
skill openclawclawhub Free
Automates insurance workflows including underwriting, claims triage, policy management, renewals, compliance, and broker operations with industry benchmarks.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- 1kalin
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Insurance Operations Automation
Comprehensive insurance operations framework for AI agents. Covers the full insurance lifecycle β underwriting, claims, policy management, renewals, compliance, and broker operations.
What This Skill Does
Guides your AI agent through insurance-specific workflows with industry benchmarks, regulatory requirements, and automation priorities.
1. Underwriting Assessment
Risk scoring framework (12 factors, weighted by line of business) Data enrichment checklist (credit, claims history, property data, telematics) Referral triggers and authority limits by tier Combined ratio targets by line: Auto (95-98%), Home (85-92%), Commercial (88-95%), Life (varies by mortality table)
2. Claims Processing Pipeline
FNOL intake automation (voice + digital, structured extraction) Severity triage: Green (auto-approve <$2K) β Yellow (adjuster review $2K-$25K) β Red (SIU referral >$25K or fraud indicators) Subrogation identification triggers Reserve estimation formulas by claim type Settlement authority matrix
3. Policy Administration
Quote-to-bind workflow (target: <15 min for personal lines) Mid-term adjustment processing Renewal scoring: retention probability model (7 factors) Cancellation/non-renewal compliance by state/jurisdiction
4. Broker Operations (Jointly AI Model)
5-agent pipeline architecture: Intake β Research β Quoting β Analysis β Delivery Market panel management and placement optimization Quote comparison normalization across carriers FCA/state regulatory compliance verification Parallel execution: up to 4 simultaneous carrier interactions
5. Compliance & Regulatory
US: State DOI requirements, NAIC model laws, Solvency II (reinsurers) UK: FCA handbook (ICOBS, SYSC), Consumer Duty, IDD compliance EU: Solvency II, IDD, GDPR for policyholder data Anti-fraud indicators (SIU trigger list β 15 red flags) SAR/suspicious activity reporting thresholds
6. Insurance Metrics Dashboard
MetricPersonal Lines TargetCommercial TargetCombined Ratio95-98%88-95%Loss Ratio60-70%55-65%Expense Ratio25-32%28-35%Claims Settlement Time<48h (auto)<14 daysPolicy Issuance Time<15 min<24hRenewal Rate>85%>80%Quote-to-Bind Ratio>25%>15%NPS>40>35
7. Automation Priority Matrix
ProcessHours/Month (50-person broker)Agent-Ready?Expected SavingsQuote comparison160hYes β now$140K-$280K/yrFNOL intake120hYes β now$105K-$210K/yrPolicy document generation80hYes β now$70K-$140K/yrRenewal processing100hYes β now$87K-$175K/yrCompliance checks60hYes β now$52K-$105K/yrSubrogation identification40hPartial$35K-$70K/yrComplex claims adjustment200hHuman-in-loop$50K-$100K/yr
8. Insurance-Specific Agent Prompts
Underwriting Agent: You are an underwriting assessment agent. For each submission: 1. Extract all risk factors from the application 2. Score each factor against the risk matrix (1-10 scale) 3. Calculate composite risk score (weighted by line of business) 4. Flag any referral triggers (prior losses >3 in 5yr, credit <600, high-hazard occupation) 5. Recommend: Auto-approve / Refer to senior / Decline with reason 6. Generate underwriting memo with supporting data Claims Triage Agent: You are a claims triage agent. For each FNOL: 1. Extract: date of loss, type, description, estimated amount, policyholder details 2. Verify active coverage and applicable endorsements 3. Assign severity: Green (<$2K auto-process) / Yellow ($2K-$25K adjuster) / Red (>$25K or fraud flags) 4. Check fraud indicators against the 15-point SIU trigger list 5. Set initial reserve based on claim type benchmarks 6. Route to appropriate handler with priority score
90-Day Deployment Roadmap
Month 1: Deploy intake + quote comparison agents. Target: 70% of personal lines quotes handled autonomously. Month 2: Add claims triage + policy document generation. Target: FNOL processing <5 minutes, auto-approval for Green claims. Month 3: Compliance monitoring + renewal automation. Target: 85%+ renewal rate, zero compliance gaps.
Cost Framework
Solo broker/MGA: $2K-$5K/month (2-3 agents) Mid-size broker (20-50 staff): $5K-$15K/month (5-8 agents) Carrier/large broker (100+ staff): $15K-$50K/month (10-20 agents)
Resources
Calculate your insurance automation ROI β AI Revenue Leak Calculator Full Insurance & Fintech Context Pack β AfrexAI Context Packs β $47, includes fintech agent configurations, compliance frameworks, and industry benchmarks Configure your insurance agent stack β Agent Setup Wizard Bundle: Pick 3 packs for $97 | All 10 for $197 | Everything $247
Category context
Trading, swaps, payments, treasury, liquidity, and crypto-financial operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- README.md