AGENT SKILLS · MISSION KIT / joellewis

joellewis · Agent Skills

43 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.

joellewis
Community

market-data

Design and manage market data infrastructure — real-time and delayed feeds, Level 1/2/3 depth, consolidated tape vs direct feeds, vendor selection, licensing, and distribution architecture. Use when choosing between real-time and delayed data, evaluating market data vendors like Bloomberg or Refinitiv, designing ticker plants or fan-out architecture, managing exchange data licensing and entitlements, diagnosing stale quotes or missing ticks, deciding between SIP and direct exchange feeds, or ass

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

next-best-action

Design and implement next-best-action engines that surface proactive, prioritized recommendations to advisors based on portfolio, life, market, and compliance events. Use when the user asks about building event-driven advisor alerts, designing trigger logic for portfolio drift or large cash movements, prioritizing competing actions across a book of business, routing NBA recommendations to the right team member, measuring NBA acceptance rates, or automating compliance-driven actions like annual r

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

order-lifecycle

Guide the design and implementation of order lifecycle management in trading systems. Owns FIX application-layer message flows (NewOrderSingle, ExecutionReport, cancel/replace) and order state. Use when building an order state machine for an OMS or EMS, handling cancel/replace race conditions, defining pre-submission validation rules (buying power, position limits, restricted lists), selecting order types and time-in-force instructions, designing multi-leg or OCO or bracket orders, building CAT-

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

performance-attribution

Decompose portfolio returns into explainable components to identify where value was added or lost. Use when the user asks about Brinson attribution, allocation vs selection effects, factor-based attribution, fixed-income attribution, or currency attribution. Also trigger when users mention 'what drove my returns', 'was it stock picking or sector bets', 'alpha decomposition', 'multi-period linking', 'interaction effect', 'active return breakdown', or ask why their portfolio outperformed or underp

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

performance-metrics

Evaluate investment performance on a risk-adjusted basis using industry-standard ratios and capture analysis. Use when the user asks about Sharpe ratio, Sortino ratio, Information Ratio, Treynor ratio, Calmar ratio, Omega ratio, or upside/downside capture. Also trigger when users mention 'risk-adjusted returns', 'return per unit of risk', 'M-squared', 'is this fund worth the volatility', 'how to compare two managers', 'capture ratio', or ask which investment performed better after accounting for

installs
1
GitHub stars
179
Updated
Jul 18
joellewis
Community

post-trade-compliance

Guide post-trade compliance monitoring and trade surveillance system design. Use when building alert logic to detect churning, front-running, cherry-picking, layering, spoofing, wash trading, or marking the close, implementing post-trade best execution review, evaluating allocation fairness with pro-rata verification or dispersion analysis, designing exception-based monitoring workflows with escalation paths, correlating trading with MNPI events for insider trading detection, building personal t

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

pre-trade-compliance

Guide the design and implementation of automated pre-trade compliance systems that validate orders before execution. Use when building a compliance rule engine for an RIA or broker-dealer, configuring hard blocks and soft blocks, maintaining restricted and watch lists including MNPI-driven restrictions, setting concentration limits at security/sector/issuer level, implementing position limits or short selling controls, enforcing wash sale detection or free-riding prevention or pattern day trader

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

private-placements

Analyze private placement and exempt offering compliance under Regulation D, the Investment Company Act fund exclusions, and FINRA private placement rules. Owns the accredited investor definition (Rule 501(a)), the '506(b) vs 506(c)' distinction, 'general solicitation' analysis, 'Form D' filing mechanics, the 'qualified purchaser' standard for 3(c)(7) funds, bad-actor disqualification, integration, and Rule 144 resale restrictions. Use when the user asks 'can my client invest in this private fun

installs
1
GitHub stars
179
Updated
Jul 18
joellewis
Community

quantitative-valuation

Estimate intrinsic value of stocks and companies using DCF, dividend discount models, comparable multiples, and residual income. Use when the user asks about discounted cash flow, DCF models, WACC, terminal value, dividend discount models, comparable multiples, or sum-of-the-parts valuation. Also trigger when users mention 'what is this stock worth', 'fair value estimate', 'Gordon growth model', 'free cash flow valuation', 'cost of equity', 'sensitivity analysis', 'exit multiple', or ask whether

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

real-assets

Analyze real estate and infrastructure investments including REITs, direct property valuation, and infrastructure assets. Use when the user asks about real estate investing, REITs, cap rates, NOI, FFO, AFFO, property valuation, or infrastructure investments. Also trigger when users mention 'rental property analysis', 'cash-on-cash return', 'gross rent multiplier', 'REIT dividends', 'real estate sectors', 'cell towers', 'toll roads', 'LTV ratio', 'DSCR', or ask whether to invest in real estate di

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

reconciliation

Design and operate reconciliation processes across portfolio management, custodian, and clearing systems. Use when building a daily position, cash, or transaction reconciliation process, investigating discrepancies between internal records and custodian records, diagnosing recurring break patterns from corporate actions or pricing differences, setting tolerance thresholds for position, cash, or market value matching, implementing three-way reconciliation, designing break investigation workflows

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

reg-bi

Analyze the broker-dealer standard of conduct under SEC Regulation Best Interest's four obligations: Disclosure, Care, Conflict of Interest, and Compliance. Owns what triggers a 'recommendation' under Reg BI and the canonical comparison of Reg BI vs FINRA suitability vs IA fiduciary duty. Use when the user asks whether a broker-dealer recommendation satisfies Reg BI, how to evaluate reasonably available alternatives, rollover recommendation compliance, dual-registrant capacity disclosure, share

installs
1
GitHub stars
179
Updated
Jul 18
joellewis
Community

regulatory-reporting

Guide regulatory filing mechanics and deadlines for investment advisers, broker-dealers, and large traders — which forms to file, where, and by when. Use when the user asks about Form PF filing thresholds, 13F institutional holdings reports, 13H large trader filings, Form ADV amendment filing timing (including the annual updating amendment filed via IARD), FOCUS report preparation, blue sheet requests, CAT reporting infrastructure, or FINRA short interest and TRACE reporting. Also trigger when u

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

retirement-decumulation

Turn a retirement portfolio into sustainable lifetime income: sequence-of-returns risk, the 4% rule and its assumptions, Guyton-Klinger-style guardrails, RMD calculation from the Uniform Lifetime Table, Social Security claiming math (early reduction, delayed credits, breakeven age, survivor benefits), gap-year bracket-filling with Roth conversions, bucket strategies vs total-return, and SPIA annuitization as longevity insurance. Use when the user asks about a 'safe withdrawal rate', 'when should

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

statistics-fundamentals

Apply statistical methods to financial data including descriptive statistics, covariance estimation, regression, hypothesis testing, and resampling. Use when the user asks about return distributions, correlation between assets, building a covariance matrix, running a CAPM regression, testing whether alpha is significant, checking if returns are normal, or estimating confidence intervals. Also trigger when users mention 'volatility', 'how correlated are these', 'fat tails', 'skewness', 'R-squared

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

tax-efficiency

Maximizes after-tax returns through strategic asset location, gain/loss management, and withdrawal sequencing. Use when the user asks about asset location, Roth conversions, tax-efficient withdrawals, tax lot selection, or charitable giving with appreciated securities. Also trigger when users mention 'which account should I hold bonds in', 'tax drag', 'Roth vs Traditional', 'RMD planning', 'bracket stuffing', 'HIFO vs FIFO', or ask how to minimize taxes on investments. For tax-loss harvesting ex

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

tax-loss-harvesting

Execute a complete tax-loss harvesting workflow from candidate identification through post-harvest monitoring. Use when the user asks about finding TLH candidates, gain/loss budgeting, replacement security selection, wash-sale compliance, or harvest execution planning. Also trigger when users mention 'unrealized losses in my portfolio', 'swap ETFs for tax purposes', 'harvest losses before year-end', 'substantially identical security', 'wash-sale window', 'NIIT offset', 'loss carryforward', or as

installs
1
GitHub stars
215
Updated
Jul 18
joellewis
Community

volatility-modeling

Model, forecast, and interpret volatility using time-series models and options-implied measures. Use when the user asks about EWMA, GARCH models, implied volatility, volatility surfaces, volatility term structure, or the VIX. Also trigger when users mention 'volatility smile', 'volatility skew', 'realized vs implied vol', 'volatility risk premium', 'vol clustering', 'mean-reverting volatility', 'options pricing inputs', 'RiskMetrics', 'decay factor', or ask how to forecast future volatility for

installs
1
GitHub stars
179
Updated
Jul 18
joellewis
Community

fiction-architect

Designs plot structure and story arcs using McKee's value turns, Campbell's monomyth, and Sanderson's Promise/Progress/Payoff model to ensure causal integrity and emotional resonance. Use when constructing narratives, outlining novels, or diagnosing why a story feels broken.

installs
1
GitHub stars
6
Updated
Mar 31