chartmogul-analytics
Guide revenue analysis using ChartMogul reports. Use when discussing MRR, ARR, churn, retention, cohorts, or subscription metrics. Helps select the right report and interpret results.
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Guide revenue analysis using ChartMogul reports. Use when discussing MRR, ARR, churn, retention, cohorts, or subscription metrics. Helps select the right report and interpret results.
Use when dealing with ecosystems, network effects, or high-uncertainty environments where the right answer cannot be known in advance, when rigid planning consumes more value than it creates
Journaling partner that helps extract deeper meaning from daily logs. Use when the user wants to review their day, process logs into journal entries, or mentions "daily review".
"Research workflow patterns specific to {project}. Covers research agent coordination, source management, and synthesis strategies."
Price fixed income securities using present value, yield-to-maturity, and market conventions. Handles treasuries, corporates, municipals with various coupon frequencies. Requires numpy>=1.24.0, pandas>=2.0.0, scipy>=1.10.0. Use when valuing bonds, calculating accrued interest, or analyzing price sensitivity to yield changes.
Calculate and interpret SaaS growth metrics including MRR, ARR, churn rate, LTV, CAC, NRR, and conversion rates. Use when user mentions metrics, asks about business health, wants to calculate KPIs, or needs help interpreting growth numbers. Provides health checks against industry benchmarks.
Product discovery and validation process
Collaboratively create and refine new skills through iterative design - validate needs, design structure, draft content, test, and refine.
Multi-layer planning and playbook management. Use when creating playbooks, transitioning phases, or managing plan hierarchy. Triggers on "plan", "playbook", "phase", "roadmap", "milestone" keywords.
Pipeline contract enforcement for ZINC-Fusion-V15 soybean oil forecasting system. Use when working on any ZINC-Fusion-V15 task involving schema definitions, training pipelines, L0 specialists, data ingestion, MLflow configuration, or debugging contract drift. Triggers on mentions of Prisma database, specialist models, horizon encoding, quantile outputs, OOF predictions, or any ZINC-Fusion development work.
This skill should be used when developing signal generation logic for Zipline strategies. It provides patterns for technical indicators, factor signals, event-driven signals, and composite signal combination with proper normalization.
Analyzes long straddle volatility plays with ATM call and put at same strike. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting large price movement in either direction, analyzing earnings plays, evaluating volatility opportunities, or assessing binary event outcomes on high IV stocks.
This skill should be used when implementing portfolio rebalancing in Zipline strategies. It provides calendar-based, threshold-based, and drift-based rebalancing with efficient order generation and turnover constraints.
Expert-level options trading framework for multi-leg strategy design, quantitative modeling, and programmatic execution using Alpaca Markets APIs. Covers straddles, butterflies, spreads, iron condors, and calendar strategies with complete payoff analysis, risk management, and automated execution capabilities.
This skill should be used when implementing position sizing logic for Zipline strategies. It provides algorithms for equal-weight, risk-parity, Kelly criterion, volatility-targeting, and other professional position sizing methods.
Resources and freedom engine - Money, business, wealth, and financial independence
Collect a single Schwab MCP data snapshot (accounts, quotes, indicators, option chains) with a five-minute cache so trading agents can reuse consistent inputs. Use whenever an options persona needs fresh risk, market, or chain data before recommending trades.