policyengine-review-patterns
Standardized review patterns, validation checklists, and quality benchmarks for PolicyEngine codebases.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
623 skills found
Standardized review patterns, validation checklists, and quality benchmarks for PolicyEngine codebases.
Enforce structured JSON output from Claude models using Bedrock tool_use to eliminate parsing failures and ensure schema compliance.
Interview preparation system featuring company research, STAR story building, mock practice, salary strategy, and follow-up drafting.
Automate pytest execution with built-in environment verification, failure analysis, coverage reporting, and intelligent test discovery.
A scaffolding tool for generating production-ready Model Context Protocol (MCP) servers, including boilerplate, typed handlers, schema definitions, and test stubs for AI agent integrations.
Self-modify your Milady agent by managing plugins. Edit code, rebuild, and restart the runtime to develop new capabilities or improve agent workflows locally.
Manage and automate your Bear notes on macOS using the grizzly CLI tool.
Research agent for Nia: index/search remote codebases, docs, and packages. Optimizes AI context by prioritizing full source indexing over web fetches to reduce hallucinations.
Analyze financial data, calculate key performance metrics like margins and ROI, and generate structured analytical reports.
Automated inbound and outbound AI email workflow for 0 Finance, enabling agents to manage invoices, bank transfers, and financial conversations.
Maintain a structured DEBUG_LOG.md for recording bugs, debugging processes, and solutions to ensure project stability and knowledge retention.
Implement professional TDD workflows with strict 80% coverage, automated testing strategies, and AAA pattern enforcement for robust, high-quality code.