duolongworldCommunity·24 Agent Skills Included

AI_Renaissance

Multi-expert stock analysis, signal arbitration, and market reasoning

Analyzes A-share stocks through seven expert domains: financial reports, technical indicators, fund flows, macro cycles, industry trends, news sentiment, and risk. Replaces manual spreadsheet checks and scattered data sources with standardized signals that carry direction, confidence, evidence, and reasoning. Arbitrates conflicting expert views under bull, bear, and range market scenarios to produce explainable investment conclusions faster.

59|30

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npx skills add duolongworld/AI_Renaissance --all -g -y

Available:

Tells the AI agent how the 8-agent architecture is organized, which expert domain each agent owns, and the rules for loading skills, calling data sources, and returning standard signals.

All Skills in This Repository (24)

Pure Emerald Level Indicators

📦 In Repo

duolongworld

expert-skill-authoring

Generate standardized SKILL.md templates for expert analysis skills.

financial-report-analysis

Evaluate financial reports to generate JSON investment signals with confidence levels.

crowding-state2x2

Diagnose stock crowding states via 2x2 quadrant analysis of inflow metrics.

layer2_5_hub_variable

Analyze currency and commodity transmission between the US and China.

layer2_cycle_positioning

Map CAI and inflation scores to four economic cycle quadrants.

layer4_expected_diff

Compute deviations between actual economic conditions and market pricing to generate asset allocation signals.

layer5_asset_allocation

Convert market signals into portfolio weights with risk parity and budget constraints.

layer3_market_pricing

Analyze financial market pricing data to infer market positioning and expectations.

layer0_tracking

Monitor and analyze US-China economic indicators and interaction levels.

layer4_5_reflexivity

Analyze consensus crowdedness and paradigm stability in investment signals.

industry-sentiment-tracker

Assess industry sentiment using weighted news, financial statement, and market data metrics.

market-emotion-discovery

Identifies extreme market sentiment from social media and news data.

Community

Intermediate

Frequently Asked Questions

FAQPage Schema

How to install AI_Renaissance?▼

Run `npx skills add duolongworld/AI_Renaissance --all -g -y` in your terminal to install all skills in this suite globally.

What does AI_Renaissance do?▼

It runs seven expert analysts (financial, technical, fund flow, macro, industry, news sentiment, risk) on a stock, then arbitrates their signals into one explainable direction with confidence and reasoning.

How does the signal arbitration work?▼

An orchestrator collects each expert's standardized signal, auto-detects the market scenario (bull, bear, or range), applies scenario-specific expert weights, and outputs a final decision with a full reasoning chain.

Which data sources does it support?▼

It connects to AkShare, EastMoney, Tencent K-line, cninfo official disclosures, and EastMoney Guba forum posts through a unified data layer with documented contracts.

Is AI_Renaissance suitable for non-programmers?▼

The analysis skills are written as readable rulebooks, but running the full pipeline requires a Python environment; business users can still read the plain-language signals and reasoning it produces.