trading-strategies
Framework for building, testing, and deploying automated trading strategies for prediction markets using Python.
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141 skills found
Framework for building, testing, and deploying automated trading strategies for prediction markets using Python.
Apply reality-first coding standards: intentional naming, focused functions, guard clauses, and deterministic side effects, with no speculative features.
Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.
Enforces low Cognitive and Cyclomatic complexity in all code. Automatically maintains readability, modularity, and maintainability by preventing complex functions during development.
Systematically extract insights, decisions, and constraints from research documents, technical papers, and architectural design files.
Behavioral guidelines for LLMs to reduce coding mistakes, follow best practices, and improve output quality by enforcing simplicity, surgical changes, and goal-driven verification.
Refactors SwiftUI views for clean architecture, consistent property ordering, efficient dependency injection, and correct @Observable state management.
Architectural expert for the SpecKit template, managing Spec-Driven Development, design patterns, and microservices lifecycle automation.
Professional Gemini CLI Skill Architect: specialized in scaffolding new skills, converting Claude Code tools to Gemini, and refactoring/optimizing existing CLI orchestrators.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Provides data-driven trading strategies for cryptocurrencies using Binance market data, technical analysis indicators, and aggregated crypto market sentiment.
AI-driven web testability assessment using 10 core principles. Evaluates observability, controllability, and stability via Playwright and Vibium to identify testing bottlenecks and improve quality readiness.