chain-of-thought
Step-by-step reasoning patterns for complex problem solving
আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
Step-by-step reasoning patterns for complex problem solving
Create detailed implementation plans for software features and refactoring tasks. Use this skill when planning new features, architectural changes, or major refactoring efforts.
Manage relationships, 1:1s, and stakeholder communication.
Expert-level financial systems, FinTech, banking, payments, and financial technology
Collaborative strategic thinking for founders, operators, and decision-makers. Use when someone needs help working through business strategy, product direction, positioning, prioritization, or major decisions. Triggers include requests to think through strategy, evaluate tradeoffs, pressure-test ideas, clarify direction, scope products, or navigate pivots. Not for execution, for clarification and decision-making.
Factor modeling and portfolio construction (Markowitz, Black-Litterman, constraints, turnover).
Track progress toward goals through efforts. Calculate completion percentages, surface stalled efforts, connect daily tasks to objectives. Use for goal reviews and progress tracking.
Professional security report generation, executive summaries, finding documentation, and remediation tracking
Validates time series forecast quality metrics by comparing current performance against historical benchmarks. Detects degradation in MASE and sMAPE metrics. Activates when user mentions "validate forecast", "check forecast quality", or "assess forecast metrics".
Analyzes long strangle volatility plays with OTM call and put at different strikes. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting very large price movement, want lower-cost alternative to straddle, analyzing high-volatility events, or evaluating wide-range breakout opportunities on stocks with elevated IV.
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, measuring portfolio attribution, or identifying value opportunities in fixed income markets.
Create and execute advanced execution plans for complex AI model development incorporating 2024-2026 cutting-edge techniques (DeepSeek GRPO, manifold-constrained architectures, geometric scaling). Use when planning large-scale model training, architecture optimization, or multi-stage development workflows requiring state-of-the-art methodologies.
Assess and report on AI tool subscriptions, usage patterns, and cost-effectiveness. Use for reviewing AI subscriptions, analyzing tool usage, optimizing AI spend.
Analyzes long call butterfly spreads with 3 strikes and 4 legs for neutral outlook. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting minimal price movement, want low-cost defined-risk strategy, analyzing pinning opportunities, or evaluating tight-range neutral positions on stocks near technical levels.
Sync Linear cycle data with CURRENT-FOCUS.md, analyze chat context for gaps, prioritize work based on dependencies and test failures, and provide actionable recommendations. This skill should be used when the user requests "show current focus", "update current focus", or discusses project status and upcoming work.
This skill should be used when creating charts and visualizations from backtest results. It provides patterns for equity curves, drawdown charts, return distributions, rolling metrics, and interactive dashboards using matplotlib, plotly, and seaborn.
Probability, moments/tails, Bayes, and statistical learning foundations for systematic trading.
Brainstorm solutions with trade-off analysis and brutal honesty. Use for ideation, architecture decisions, technical debates, feature exploration, feasibility assessment, design discussions.