Use when a request involves Ethereum, the EVM, or blockchain systems. Applies to building, auditing, deploying, or interacting with smart contracts, dApps, wallets, or DeFi…
Bug-fix discipline — every defect has an etiology, the chain of cause that produced the observable fault; trace it before patching.
Use when designing data pipelines, choosing between ETL and ELT approaches, or implementing data transformation patterns. Covers modern data pipeline architecture.
Pulls 5-star Etsy reviews via API and generates UGC content templates (Pinterest pin copy, Instagram carousels, Reddit testimonial copy, email testimonials) from review quotes.
EU AI Act (Regulation EU 2024/1689) compliance specialist. Use when classifying AI systems by risk tier, assessing provider or deployer obligations, evaluating GPAI model…
Evaluation strategies and quality gates for LLM systems. LLM-as-judge implementation, prompt regression testing, structural and semantic validation pipelines, production…
Specialized code quality evaluator for the Evaluate-Loop. Use this for evaluating code implementation tracks where the deliverable is functional code — features, API routes, state…
Eval-driven agent development — 3-layer evaluation (static benchmarks, custom offline, online production). Evaluator-optimizer tight loop. Evals in CI, score-gated PRs.
Find AILANG vs Python eval gaps and improve prompts/language. Use when user says 'find eval gaps', 'analyze benchmark failures', 'close Python-AILANG gap', or after running evals.
Evaluation harness for testing agent and skill quality through structured benchmarks, regression tests, and quality scoring.
Specialized integration evaluator for the Evaluate-Loop. Use this for evaluating tracks that integrate external services — Supabase auth/DB, Stripe payments, Gemini API,…
Guide for diagnosing and improving MSBuild project evaluation performance. Only activate in MSBuild/.NET build context.
Run Microsoft's eval-recipes benchmarks to validate amplihack improvements against baseline agents. Auto-activates when testing improvements, running evals, or benchmarking…
Produces a concrete eval suite plan for AI agents - grounded in Microsoft's Eval Scenario Library and MS Learn agent evaluation guidance (Copilot Studio is the primary worked…
Git branch cleanup utility. Lists and deletes branches that have been merged to main. Use when user wants to clean up old branches, delete merged branches, or tidy up their git…
Use when user references architecture principles, at start of fresh conversation with design work, before creating any requirements/design/implementation documents, or when…
Assess an open-source agent framework for investment readiness by evaluating community health, supersession risk, architecture alignment, and governance sustainability.
Use RagaAI Catalyst to instrument agent runs, collect traces, manage evaluation datasets, inspect execution graphs, and review regressions before deployment.
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 architecture.
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 time.
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics.
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.
EVE Online ESI API patterns and zkillboard integration. Covers ESI endpoints, authentication, data models, zkillboard RedisQ listener, caching strategies, and EVE-specific IDs…
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…
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
AWS EventBridge serverless event bus for event-driven architectures. Use when creating rules, configuring event patterns, setting up scheduled events, integrating with SaaS, or…
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 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.