trading-strategies
Framework for building, testing, and deploying automated trading strategies for prediction markets using Python.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
173 skills found
Framework for building, testing, and deploying automated trading strategies for prediction markets using Python.
Reverse engineer web APIs by capturing browser traffic (HAR files) and generating production-ready Python API clients for automation and data extraction.
Correlate content attributes with GA4 and GSC metrics to identify performance drivers and optimization opportunities.
Local hybrid search engine for markdown notes, documentation, and codebase knowledge bases to reduce token consumption and improve retrieval efficiency.
Expert SQL agent for modern database systems, query optimization, HTAP environments, and data architecture patterns. Optimize performance, schema design, and analytical workloads effectively.
Generate professional Product Requirements Documents (PRD) and structure features for autonomous development cycles.
Analyze RFPs and requirements to identify stakeholders, decompose functional modules, extract constraints, and generate high-priority clarification questions.
Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.
Intelligent contract review tool for identifying risks, extracting key terms, and flagging unusual clauses to support informed decision-making.
Structured 6-phase workflow for planning and implementing features, skills, and architectural changes with automated tool discovery and safety verification.
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
Generate comprehensive, investor-ready business cases for startups, including market analysis, financial modeling, competitive positioning, and funding strategies.