fin-core
Original:🇺🇸 English
Translated
Finance Guru™ Core Context Loader Auto-loads essential Finance Guru system configuration and user profile at session start. Ensures complete context availability for all financial operations.
6installs
Added on
NPX Install
npx skill4agent add aojdevstudio/finance-guru fin-coreTags
Translated version includes tags in frontmatterSKILL.md Content
View Translation Comparison →Finance Guru™ Core Context
Auto-loaded at every session start
Core Identity
System Name: Finance Guru™ v2.0.0
Architecture: BMAD-CORE™ v6.0.0
Type: Private Family Office AI System
Owner: Sole client (exclusive service)
Purpose: Institutional-grade multi-agent financial intelligence, quantitative analysis, strategic portfolio planning, and compliance oversight
Key Principle: This is NOT a software product - this IS Finance Guru, your personal financial command center.
Essential Files (Auto-Loaded)
These files are automatically loaded into context at session start:
1. System Configuration
Path:
Contains: Module identity, agent roster (13 agents), workflow pipeline, tools, temporal awareness
fin-guru/config.yaml2. User Profile
Path:
Contains: Portfolio structure ($500k), investment capacity ($13.3k/month W2), risk profile (aggressive), Layer 2 Income strategy
fin-guru/data/user-profile.yaml3. Portfolio Updates
Path:
Contains: Latest Fidelity account balances, positions, transaction history
notebooks/updates/File Patterns:
- Balances: (exact match)
Balances_for_Account_{account_id}.csv - Positions: (e.g.,
Portfolio_Positions_MMM-DD-YYYY.csv)Portfolio_Positions_Nov-05-2025.csv - The hook automatically finds the latest positions file by date in the filename
- Files older than 7 days trigger an update alert at session start
4. System Context
Path:
Contains: Private family office positioning, agent team structure, privacy commitments
fin-guru/data/system-context.mdProduction-Ready Tools (7 Available)
All tools use 3-layer type-safe architecture (Pydantic → Calculator → CLI):
Risk & Performance
-
Risk Metrics () VaR, CVaR, Sharpe, Sortino, Max Drawdown, Beta, Alpha
src/analysis/risk_metrics_cli.py -
Volatility Metrics () Bollinger Bands, ATR, Historical Vol, Keltner Channels, regime assessment
src/utils/volatility_cli.py
Technical Analysis
-
Momentum Indicators () RSI, MACD, Stochastic, Williams %R, ROC, confluence analysis
src/utils/momentum_cli.py -
Moving Averages () SMA, EMA, WMA, HMA, Golden Cross/Death Cross detection
src/utils/moving_averages_cli.py
Portfolio Construction
-
Correlation & Covariance () Pearson correlation, covariance matrices, diversification scoring
src/analysis/correlation_cli.py -
Portfolio Optimizer () Mean-Variance, Risk Parity, Min Variance, Max Sharpe, Black-Litterman
src/strategies/optimizer_cli.py -
Backtesting Framework () Strategy validation, performance metrics, deployment recommendations
src/strategies/backtester_cli.py
Documentation: See for usage examples and agent workflows
CLAUDE.mdMulti-Agent System
Primary Entry: Finance Orchestrator (Cassandra Holt)
Specialist Agents: Market Researcher, Quant Analyst, Strategy Advisor, Compliance Officer, Margin Specialist, Dividend Specialist, Teaching Specialist, Builder, QA Advisor, Onboarding Specialist
Workflow Pipeline: RESEARCH → QUANT → STRATEGY → ARTIFACTS
Current Strategic Focus
Layer 1 (Growth): Keep 100% - DO NOT TOUCH
Layer 2 (Income): Building dividend portfolio with $13,317/month W2 income
Target: $100k annual dividend income in 28 months (69.2% Monte Carlo probability)
Strategy: Hybrid DRIP v2 with active rotation, confidence-based margin scaling
Temporal Awareness
CRITICAL: Always execute command before market research or analysis.
Ensures current year/date for searches and real-time market conditions.
dateThis context is automatically loaded at session start via the hook.
load-fin-core-config