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SkillsMP ha recopilado 1320 skills de paulpas/agent-skill-router. Abre una skill para revisar su origen y sus detalles.
paulpas/agent-skill-routerMostrando 40 de 1320 skills recopiladas.
Dynamically routes agent work based on cost, budget constraints, latency requirements, and query complexity using LLM-driven model selection with feedback-loop optimization for efficient resource utilization.
Idioma del texto original: inglés
Implements intent-based routing patterns (LLM classifiers, node transitions, computational graphs) to dispatch queries to specialized sub-agents with fallback chains and confidence scoring.
Idioma del texto original: inglés
Enables agents to rank and schedule tasks by urgency, importance, dependencies, and resource cost using priority matrices, dynamic re-prioritization, and dependency-aware scheduling for optimal execution order.
Idioma del texto original: inglés
Implements agent tool use and function calling patterns (@tool decorators, CrewAI tools, Google ADK built-in tools) to enable agents with real-time external data access, API operations, calculations, and code execution.
Idioma del texto original: inglés
Implements intelligent acceptance orchestrator with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent address github comments with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements structural design patterns for AI agent systems including monolithic, multi-agent, hierarchical, and event-driven architectures with state management and security primitives.
Idioma del texto original: inglés
Implements inter-agent communication patterns (message passing, event-driven coordination, shared memory protocols, RPC-style calls, structured JSON messaging) for reliable multi-agent systems.
Idioma del texto original: inglés
Implements context window management, sliding window strategies, and persistent memory patterns to maintain AI agent coherence across long interactions.
Idioma del texto original: inglés
Implements context window management and memory architectures for LLM agents including token budgeting, sliding window strategies, summarization fallbacks, cross-turn state persistence, and external vector store integration.
Idioma del texto original: inglés
Implements systematic debugging workflows for LLM agent failures including hallucination detection, infinite loop recovery, context window exhaustion, tool call errors, and cascading failure diagnosis using distributed tracing patterns.
Idioma del texto original: inglés
Implements intelligent agent evaluation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent agent manager skill with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent agent memory systems with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements tracing, cost tracking, and latency monitoring patterns for AI agent systems to debug failures, control token spend, and optimize response times across multi-agent workflows.
Idioma del texto original: inglés
Implements fault-tolerance mechanisms for AI agent systems including circuit breakers, exponential backoff retries, graceful degradation, health checks, dead letter queues, and timeout management with observability hooks.
Idioma del texto original: inglés
Defines and structures functional, non-functional, and safety requirements for AI agent systems including capability matrices, hallucination thresholds, data quality standards, and evaluation criteria.
Idioma del texto original: inglés
Implements prompt injection detection, input validation, tool access control, and output sanitization to secure LLM agents against adversarial attacks.
Idioma del texto original: inglés
Implements systematic evaluation, benchmarking, and testing of AI agent behaviors with tool-use accuracy, hallucination detection, multi-turn reasoning metrics, and automated grading pipelines.
Idioma del texto original: inglés
Implements intelligent ai agent development with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements guardrails, safety checks, hallucination detection, prompt injection defense, and output validation for autonomous AI agents to prevent misuse, unauthorized actions, and unreliable behavior.
Idioma del texto original: inglés
Implements intelligent ai agents architect with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent ai dev jobs mcp with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Evaluates and compares AI agent frameworks (LangGraph, CrewAI, OpenAI Agents SDK, LlamaIndex, AutoGen) using weighted scoring matrices across architecture fit, ecosystem maturity, production readiness, cost, and latency dimensions.
Idioma del texto original: inglés
Evaluates and selects the optimal AI agent framework (LangChain, CrewAI, LlamaIndex, DSPy, Microsoft Agent Framework) for a project based on capability requirements, production constraints, and team expertise.
Idioma del texto original: inglés
Implements intelligent ai ml with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Selects the optimal LLM model for a specific task by evaluating capability requirements against cost, latency, context window, and quality needs across all major providers.
Idioma del texto original: inglés
Designs and maintains a consistent AI agent persona including first-person voice, personality traits, communication style, authenticity guidelines, and memory-aware self-expression for personalized interactions.
Idioma del texto original: inglés
Evaluates AI agent systems against defined requirements using golden datasets, adversarial testing, hallucination metrics, latency benchmarks, and safety compliance checks.
Idioma del texto original: inglés
Implements intelligent airflow dag patterns with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent airtable automation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent analyze project with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent andruia consultant with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent andruia niche intelligence with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent andruia skill smith with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent antigravity skill orchestrator with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent antigravity workflows with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent api documentation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent api security testing with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés
Implements intelligent apify actor development with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
Idioma del texto original: inglés