aliyunaliyunOfficial·129 Agent Skills Included

qwen-dianjin

AI skills for banking credit review, insurance, and investment research

Automates financial professional workflows across banking, insurance, and securities research. Covers credit review, collateral risk checks, post-loan monitoring, insurance underwriting, policy explanation, and equity or bond research reports. Eliminates manual document review, repetitive report writing, and scattered data lookups with 130+ ready-to-use agent skills.
npx skills add aliyun/qwen-dianjin --all -g -y

All Skills in This Repository (129)

Pure Emerald Level Indicators
📦 In Repo
aliyunaliyun

credit-collateral-risk-mgmt

Validate collateral admissibility, appraisal, registration, monitoring, and disposal compliance.

Official
Advanced
📦 In Repo
aliyunaliyun

pre-visit-credit-analysis

Integrate registry, judicial, opinion, lending, and credit signals into a structured pre-visit risk brief.

Official
Advanced
📦 In Repo
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credit-related-party-detection

Detect related parties and abnormal transactions for corporate credit risk assessment.

Official
Advanced
📦 In Repo
aliyunaliyun

reviewer-visit-memo

Structure oral credit investigation observations into a six-dimension visit memo.

Official
Advanced
📦 In Repo
aliyunaliyun

credit-case-intake-check

Validate credit application intake materials with an I1–I6 one-veto gate.

Official
Advanced
📦 In Repo
aliyunaliyun

admission-rules-scan

Scan customer profiles against product rule libraries and output three-state admission assessments.

Official
Advanced
📦 In Repo
aliyunaliyun

ai-risk-planning

Generate structured credit risk analysis and data collection task plans from loan application inputs.

Official
Advanced
📦 In Repo
aliyunaliyun

univariate-analysis

Compute univariate distribution binning and IV-based predictive power for tabular data.

Official
Intermediate
📦 In Repo
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xgb-tuning

Optimize XGBoost hyperparameters via diagnostic-driven Optuna TPE search.

Official
Advanced
📦 In Repo
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model-comparison

Run XGBoost, LR+WoE, and DNN on a shared split and aggregate OOT metrics.

Official
Advanced
📦 In Repo
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model-explanation

Generate SHAP-based explainability reports for trained XGBoost classification models.

Official
Intermediate
📦 In Repo
aliyunaliyun

xgb-modeling

Train and evaluate XGBoost binary classification models with standardized metrics and portable artifacts.

Official
Advanced

Frequently Asked Questions

FAQPage Schema
How to install qwen-dianjin?

Run `npx skills add aliyun/qwen-dianjin --all -g -y` in your terminal to install all skills in this suite globally.

What financial tasks can DianJin-SKILLS automate?

It covers bank credit review (intake checks, collateral risk, related-party detection), insurance agent work (policy explanation, gap analysis, renewal reminders), and investment research (company analysis, macro briefings, bond risk checks).

Does it support credit risk modeling with XGBoost?

Yes. The financial-engineering-expert skills provide end-to-end modeling: data profiling, feature analysis, XGBoost/LR/DNN training, hyperparameter tuning, and model comparison.

Do these skills work with Claude Code and other AI agents?

Yes. All skills follow the standard SKILL.md format and can be loaded by any agent framework that supports the skills protocol.

Are the skills compliant with financial regulations?

Each skill embeds regulatory constraints, audit trails, disclaimers, and one-vote-veto red lines based on Chinese banking and insurance rules, but final decisions always require licensed human review.

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