Skill UI

This structured workflow guides the systematic, low-risk modernization of legacy systems using the Strangler Fig pattern. It provides a phased approach, starting with comprehensive assessment (risk, dependency mapping), establishing robust test coverage (contract testing, data management), and implementing incremental migration infrastructure (API gateways, feature flags) to ensure continuous business operation during the transition.

A comprehensive guide for safely migrating monolithic or aging codebases. It details incremental modernization strategies, dependency mapping, and the implementation of the Strangler Fig pattern. Learn how to build safety nets using characterization tests, manage rollouts with feature flags, and achieve zero-downtime refactoring to reduce technical debt without business disruption.

This comprehensive guide details the process for upgrading the Speak SDK, migrating data between various language learning platforms (such as Duolingo or Babbel), and handling critical API version deprecations. It provides structured steps for version checking, dependency upgrades, and implementing complex data mapping logic to ensure a smooth transition to production-ready systems.

This utility converts a single, high-level objective into a comprehensive, step-by-step build plan suitable for complex, multi-agent, or multi-session engineering projects. It automatically handles dependency mapping, detects parallel steps, and structures each step with self-contained context briefs, ensuring any new agent can execute it without prior knowledge. Ideal for large-scale refactoring or feature development spanning multiple PRs.

This guide outlines a structured methodology for decomposing large specifications or vague projects into small, verifiable, and ordered tasks. It teaches best practices like dependency mapping, vertical slicing, and defining explicit acceptance criteria, ensuring reliable project execution and a clear development path.

A comprehensive workflow designed for Product Managers and technical leads to systematically identify, prioritize, and document missing features in a software project. It guides users through project understanding, gap analysis, applying a scoring matrix for prioritization, developing detailed Minimum Viable Product (MVP) specifications, and structuring the output as actionable development issues (e.g., GitHub Issues) with dependency mapping and workload optimization.

This utility converts a single, high-level objective into a comprehensive, step-by-step build plan suitable for complex, multi-agent, or multi-session engineering projects. It automatically handles dependency mapping, detects parallel steps, and structures each step with self-contained context briefs, ensuring any new agent can execute it without prior knowledge. Ideal for large-scale refactoring or feature development spanning multiple PRs.

This tool is designed to analyze source code by extracting core entities (classes, functions, modules, types) and mapping their complex relationships (imports, inheritance, calls, dependencies). It constructs a comprehensive Knowledge Graph (KG) in AgentDB. This is essential for detailed dependency analysis, understanding large codebase structures, and performing accurate impact assessments.

This skill utilizes hyperbolic space embedding (Poincare ball model) to represent complex data structures with inherent hierarchy, such as dependency trees, ontologies, or module taxonomies. Unlike standard Euclidean embeddings, hyperbolic space preserves hierarchical distances efficiently, allowing for accurate distance calculations (geodesic distance) that grow logarithmically with tree depth. It is ideal for advanced knowledge graph analysis and code architecture mapping.

This MCP tool accelerates codebase exploration by leveraging a memory graph for architecture mapping, symbol discovery, and dependency tracing. It supports evidence-based verification levels (Scout, Verify, Auditor) to ensure accuracy when analyzing unfamiliar code, assessing impact, or auditing complex structures. Use for graph-based discovery rather than simple text searches.

This skill performs a comprehensive architecture audit on codebases by mapping module dependencies and checking layering integrity. It identifies structural decay using principles from classic engineering books. The tool generates Mermaid dependency graphs, assesses testability seams, and applies Conway's Law checks to ensure architectural health. It is suitable for developers needing to understand codebase structure, review folder organization, or detect circular imports before refactoring.

Orchestrate comprehensive legacy system modernization using the strangler fig pattern. This workflow enables gradual replacement of outdated components while maintaining continuous business operations through expert agent coordination. It includes legacy assessment, dependency mapping, risk analysis, test coverage establishment, and incremental migration implementation to minimize disruption and maximize modernization velocity.