GitHub
launch-planner
Converts app ideas into shippable MVPs by providing structured product planning, technical guidance, and decision-making support focused on rapid validation. Use when the user shares an app idea, needs help sco...
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Explorer
GitHub
assumption-grading
Assess assumptions on certainty and risk to prioritize validation efforts. Use at project start or before phase transitions.
GitHub
empathy-mapping
Create structured visualizations of stakeholder perspectives (says, thinks, does, feels) to build deep understanding. Use when conducting user research or validating assumptions.
GitHub
insight-synthesis
Transform raw research into actionable insights that inform design decisions. Use during Define phase after completing research.
GitHub
assumption-validation
Test whether assumptions are true before making commitments. Use when assumptions have low certainty and high risk.
GitHub
knowledge-extractor
Analyzes completed projects to identify generalizable patterns, common workflows, and reusable knowledge worth extracting into skills. Use after completing a project to review LOG.md, skill updates, and project...
GitHub
faf-score
Calculate AI-readiness score (0-100%) for any project with project.faf file. Shows Podium tier (Trophy/Gold/Silver/Bronze), identifies strengths and gaps, provides improvement roadmap. Use when user asks "what'...
GitHub
faf-enhance
Improve project.faf AI-readiness score through guided enhancements. Identifies missing sections, suggests improvements, helps reach next Podium tier (Bronze→Silver→Gold→Trophy). Use when user asks "improve my s...
GitHub
risk-of-bias
Use when assessing risk of bias or study quality. Covers RoB 2 for RCTs, Newcastle-Ottawa Scale for cohorts, ROBINS-I for non-randomized interventions, and QUADAS-2 for diagnostic studies. Invoke for quality as...
GitHub
options-strategies
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 calen...
GitHub
advanced-math-tradingoptimization-advanced
Advanced optimization for trading: OCO, multi-objective, DRO, MIP, Bayesian opt, plus convex/Markowitz/BL references.
GitHub
long-straddle
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...
GitHub
iron-butterfly
Analyzes iron butterfly credit spreads with ATM short straddle and OTM long strangle protection. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting stock to pin at speci...
GitHub
advanced-math-tradingfoundations-core
Probability, moments/tails, Bayes, and statistical learning foundations for systematic trading.
GitHub
credit-risk
Assess credit risk and default probability for bonds using credit spreads, rating transitions, and recovery analysis. Requires numpy>=1.24.0, pandas>=2.0.0, scipy>=1.10.0. Use when evaluating corporate bonds, a...
GitHub
married-put-strategy
Analyzes and implements married-put options strategies for portfolio protection. Calculates breakeven points, profit/loss scenarios, and compares strike prices (ITM, ATM, OTM) across multiple expiration cycles....
GitHub
covered-call
Implement covered call options strategy for income generation on long stock positions. Use when seeking to enhance returns through option premium collection while maintaining stock ownership. Covers structure,...
GitHub
advanced-math-tradingtime-series-regimes
Time series modeling, stationarity, ARIMA/GARCH, SDEs, and regime detection for trading.
GitHub
iron-condor
Analyzes iron condor credit spreads with OTM put and call spreads for range-bound trading. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting sideways price action, want...
GitHub
bond-benchmarking
Compare bond performance against market benchmarks and indices. Analyzes yield spreads, duration matching, and relative value. Requires numpy>=1.24.0, pandas>=2.0.0. Use when evaluating bonds against peers, mea...
GitHub
advanced-math-tradingportfolio-factors
Factor modeling and portfolio construction (Markowitz, Black-Litterman, constraints, turnover).
GitHub
financial-analysis
Comprehensive financial statement analysis including ratio calculation, trend analysis, and peer comparison. Evaluates liquidity, profitability, efficiency, and leverage metrics. Requires numpy>=1.24.0, pandas>...
GitHub
bond-pricing
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, s...
GitHub
advanced-math-tradingrobustness-risk
Tail risk, EVT, regularization, validation guardrails, and common pitfalls.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.