Use RagaAI Catalyst to instrument agent runs, collect traces, manage evaluation datasets, inspect execution graphs, and review regressions before deployment.
MMI評価エージェント - Modularity Maturity Indexによるモジュール成熟度評価（Cohesion/Coupling/Independence/Reusability）。/evaluate-mmi [対象パス] で呼び出し。 — from majiayu000/claude-skill-registry
Use when testing Ralph's hat collection presets, validating preset configurations, or auditing the preset library for bugs and UX issues.
Evaluates AI coding agent platforms across five structural dimensions — execution philosophy, state and memory, context management, tool integration, and multi-agent architecture…
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics.
Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or…
Help users evaluate emerging technologies. Use when someone is assessing new tools, making build vs buy decisions, evaluating AI vendors, or deciding on technical archite — from…
Help users evaluate emerging technologies. Use when someone is assessing new tools, making build vs buy decisions, evaluating AI vendors, or deciding on technical archite — from…
Assesses platform investment opportunities with industry positioning, management quality, organic growth potential, and add-on runway.
Evaluate RAG systems with hit rate, MRR, faithfulness metrics and compare retrieval strategies. Use when testing retrieval quality, generating evaluation datasets, comparing…
Evaluate skills by executing them across sonnet, opus, and haiku models using sub-agents. Use when testing if a skill works correctly, comparing model performance, or finding the…
Build evaluation frameworks for agent systems. Use when testing agent performance systematically, validating context engineering choices, or measuring improvements over t — from…
Build evaluation frameworks for agent systems. Use when testing agent performance systematically, validating context engineering choices, or measuring improvements over t — from…
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics.
Systematic evaluation and comparison of technologies, tools, frameworks, and approaches using weighted criteria and scoring matrices.
Evaluate agent systems with quality gates and LLM-as-judge. Use when you need to measure component quality or implement quality gates.
Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports.
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems.
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution.
Use when evaluating AI model outputs, prompts, and LLM application quality in .NET. Covers Microsoft.Extensions.AI.Evaluation for scoring, reporting, and automated test pipelines.
EVE Online ESI API patterns and zkillboard integration. Covers ESI endpoints, authentication, data models, zkillboard RedisQ listener, caching strategies, and EVE-specific IDs…
Forge a personalized eve agent for a business end-to-end — absorb the business's artifacts, author the eve agent/ dir, validate, deploy to Vercel (or a VPS), smoke-test against…
Event-driven architecture reference — event sourcing, pub/sub, CQRS, event buses, and stream processing.
Event sourcing and CQRS expert for AI memory systemsUse when "event sourcing, event store, cqrs, nats jetstream, kafka events, event projection, replay events, event schema,…
Conception d'architectures événementielles avec messaging et event sourcing. Se déclenche avec "event driven", "événementiel", "RabbitMQ", "Kafka", "event sourcing", "CQR — from…
Design event-driven architectures using Kafka, RabbitMQ, event sourcing, CQRS, and saga patterns. Activates when users need help with event-driven design, message queues, event…
Expert in designing asynchronous, decoupled systems using Event-Driven Architecture (EDA). Specializes in AsyncAPI, Event Mesh, and CloudEvents standards.
Generic Event-Driven Architecture patterns with Kafka, Dapr, and modern messaging systems. Provides reusable patterns for building scalable, resilient event-driven microservices.
Message queues, pub/sub, event sourcing with Kafka, RabbitMQ, Redis Streams. Activate on: event-driven, message queue, pub/sub, Kafka, RabbitMQ, event bus, async messaging, dead…
Use when choosing between Salesforce event-driven mechanisms — Platform Events, Change Data Capture (CDC), Streaming API (PushTopic), and Outbound Messages — to determine which…
Designing resilient, eventual-consistency distributed transactions using the Saga Pattern (Choreography and Orchestration).
Event-driven architecture patterns including message queues, pub/sub, event sourcing, CQRS, and sagas.
Event-Driven Architecture: Kafka deep-dive (partitioning, consumer groups, exactly-once semantics, Schema Registry, DLQ, compacted topics), AWS EventBridge (content filtering,…
Add new events to Bob The Skull's event-driven architecture. Use when creating new events, event publishers, event handlers, or extending the event system with new event types.
Create new event scraping scripts for websites. Use when adding a new event source to the Asheville Event Feed.
Expert in event sourcing, CQRS, and event-driven architecture patterns. Masters event store design, projection building, saga orchestration, and eventual consistency patterns.
Migrate to event-sourcing architecture with event extraction, store setup, and CQRS implementation
Testing event sourcing patterns including event store validation, projection testing, saga orchestration, and event versioning compatibility.
Trace the full event chain for one Claude Code session into an ordered timeline of every event type with tool_name and summary, highlighting gaps, out-of-order events, and…
AWS EventBridge serverless event bus for event-driven architectures. Use when creating rules, configuring event patterns, setting up scheduled events, integrating with SaaS, or…
Use when creating, editing, validating, generating, or importing the Bitrix24 knowledge base 2.0 named «Технический справочник “Эверест”» for bearings, GOST/ISO, analogs, brands,…
Configure CI/CD pipelines for Evernote integrations. Use when setting up automated testing, continuous integration, or deployment pipelines for Evernote projects.
Diagnose and fix common Evernote API errors. Use when encountering Evernote API exceptions, debugging failures, or troubleshooting integration issues.
Debug Evernote API issues with diagnostic tools and techniques. Use when troubleshooting API calls, inspecting requests/responses, or diagnosing integration problems.
Deploy Evernote integrations to production environments. Use when deploying to cloud platforms, configuring production, or setting up deployment pipelines.
Create a minimal working Evernote example. Use when starting a new Evernote integration, testing your setup, or learning basic Evernote API patterns.
Set up efficient local development workflow for Evernote integrations. Use when configuring dev environment, setting up sandbox testing, or optimizing development iteration speed.
Optimize Evernote integration performance. Use when improving response times, reducing API calls, or scaling Evernote integrations.
Handle Evernote API rate limits effectively. Use when implementing rate limit handling, optimizing API usage, or troubleshooting rate limit errors.
Reference architecture for Evernote integrations. Use when designing system architecture, planning integrations, or building scalable Evernote applications.
Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.
Forensic game engine with immutable audit spine, FSC (Failure-Surface Compression), contradiction detection SAT solver, self-play loop, and visual cognition mapping. Runs offline.
Use when verifier output, schemas, fixtures, templates, CI, or readiness artifacts are being used to support live, human-gated, hardware, deployment, or completion claims.
Convert qualitative repo gaps or repeated failures into deterministic tests, fixtures, validators, or checks.
Use para implementar registro de evidências, eventos de domínio e listeners no Laravel.
EdgeVLA - Open-source edge vision-language-action model for robotics. Standardizes Open-X Embodiment datasets for consistent VLA training and deployment.
中文优先：用于EVMToken小数位相关任务，帮助识别、设计、实现或验证对应工作流。English keywords: Prevent silent decimal mismatch bugs across EVM chains.
Guides design and implementation of evolutionary modular-monolith platforms with DDD (strategic + tactical), flat-by-aggregate organization, an Anti-Corruption Layer for vendor…
Search, analyze, and refactor Elixir code with `ex_ast` AST patterns in projects that already depend on `ex_ast`.
Apply advanced debugging techniques for hard-to-diagnose Exa issues. Use when standard troubleshooting fails, investigating latency spikes, or preparing evidence bundles for Exa…