Skill UI

A specialized skill for detecting discrepancies (drift) between declared API contracts (such as GraphQL schemas, OpenAPI specs, and RPC manifests) and the actual behavior of live backend handlers. It is used to identify hidden operations, contract mismatches, or vulnerabilities resulting from schema evolution, versioning skew, or implementation gaps. Must be used after initial sandbox assumptions are established.

A comprehensive guide for designing and building large-scale, resilient platforms using the evolutionary modular monolith approach. It enforces strong logical boundaries using DDD principles (bounded contexts, flat-by-aggregate) and implements necessary patterns like Anti-Corruption Layers and transactional outboxes. Use this when defining a system's structure, choosing between monolith and microservices, or ensuring robust decoupling from external vendors (e.g., ERP, AI).

This tool performs a comprehensive analysis of AI configuration file evolution within a Git repository. It tracks when specific AI configs were first introduced, charts monthly commit velocity related to AI features, highlights key PRs that shaped the development, and synthesizes the project's AI maturity phases. Ideal for mapping AI adoption timelines and assessing technical maturity.

Start or monitor an evolutionary loop that refines ontology and acceptance criteria across generations. Supports starting new loops, monitoring status, rewinding to previous generations, and managing AI agent workflows for iterative software development. It integrates with MCP tools for ontology refinement and acceptance criteria validation.

JurisRank is a computational tool that analyzes citation networks of Argentine Supreme Court (CSJN) jurisprudence using a peer-reviewed PageRank algorithm with temporal decay. It measures the jurisprudential authority of legal precedents, allowing users to rank competing cases by influence, trace the evolution of legal doctrine, and detect potential constitutional drift. Ideal for intensive legal research, due diligence, and academic analysis of legal trends in Argentina.

Monitor AI execution sessions and measure deviation from initial goals. Provides status updates and drift analysis to ensure alignment with the Seed prompt. Suggests corrective actions like interviews or evolution when drift exceeds thresholds.

Ralph manages background evolution jobs within the Ouroboros MCP runtime. It handles lineage tracking, job monitoring, and observer handoffs for automated evolutionary steps. Supports starting new runs, continuing existing lineages, and monitoring progress until convergence or termination.

A specialized skill for academic researchers and legal professionals, designed to search, map, and analyze French doctoral theses (thèses.fr/HAL). It supports multi-criteria querying (subject, director, jury, institution) and advanced academic mapping, allowing users to track the evolution of legal sub-disciplines and academic networks over time. Highly focused on French law.

Apply Martin Kleppmann-inspired rules for designing reliable, scalable, and maintainable data systems. Covers consistency, replication, partitioning, transactions, streams, batch processing, and schema evolution. Use when making architecture decisions for data-intensive applications.

Review Protocol Buffer and gRPC API changes to ensure wire and JSON compatibility. This skill covers safe schema evolution, identifying rollout hazards, and maintaining RPC contract quality. It is used when reviewing proto diffs, modifying messages and services, planning migrations, or diagnosing cross-version failures in distributed systems.

This skill helps diagnose, repair, and prevent complex Drizzle Kit database migration conflicts. It addresses issues arising from merging branches, rebasing, or PR updates involving generated SQL, snapshots, and journals. Use it to ensure stable schema evolution in multi-developer teams and harden CI/CD workflows.

This skill enables the makepad-skills library to continuously self-improve during development. It uses Claude Code hooks for automatic triggering, routing relevant skills based on context, and facilitating self-correction and validation. It guides developers on when to evolve skills, how to classify new knowledge, and the process for contributing patterns or solutions back to the library.