paulpas/agent-skill-router - 4페이지

resource-optimization

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.

원문 언어: 영어

routing-patterns

Implements intent-based routing patterns (LLM classifiers, node transitions, computational graphs) to dispatch queries to specialized sub-agents with fallback chains and confidence scoring.

원문 언어: 영어

task-prioritization

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.

원문 언어: 영어

tool-use-function-calling

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.

원문 언어: 영어

acceptance-orchestrator

Implements intelligent acceptance orchestrator with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

address-github-comments

Implements intelligent address github comments with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

agent-architecture-patterns

Implements structural design patterns for AI agent systems including monolithic, multi-agent, hierarchical, and event-driven architectures with state management and security primitives.

원문 언어: 영어

agent-communication-patterns

Implements inter-agent communication patterns (message passing, event-driven coordination, shared memory protocols, RPC-style calls, structured JSON messaging) for reliable multi-agent systems.

원문 언어: 영어

agent-context-management

Implements context window management, sliding window strategies, and persistent memory patterns to maintain AI agent coherence across long interactions.

원문 언어: 영어

agent-context-memory

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.

원문 언어: 영어

agent-debugging

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.

원문 언어: 영어

agent-evaluation

Implements intelligent agent evaluation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

agent-manager-skill

Implements intelligent agent manager skill with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

agent-memory-systems

Implements intelligent agent memory systems with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

agent-observability

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.

원문 언어: 영어

agent-reliability-engineering

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.

원문 언어: 영어

agent-requirements-engineering

Defines and structures functional, non-functional, and safety requirements for AI agent systems including capability matrices, hallucination thresholds, data quality standards, and evaluation criteria.

원문 언어: 영어

agent-security-guardrails

Implements prompt injection detection, input validation, tool access control, and output sanitization to secure LLM agents against adversarial attacks.

원문 언어: 영어

agentic-evaluation

Implements systematic evaluation, benchmarking, and testing of AI agent behaviors with tool-use accuracy, hallucination detection, multi-turn reasoning metrics, and automated grading pipelines.

원문 언어: 영어

ai-agent-development

Implements intelligent ai agent development with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

ai-agent-safety

Implements guardrails, safety checks, hallucination detection, prompt injection defense, and output validation for autonomous AI agents to prevent misuse, unauthorized actions, and unreliable behavior.

원문 언어: 영어

ai-agents-architect

Implements intelligent ai agents architect with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

ai-dev-jobs-mcp

Implements intelligent ai dev jobs mcp with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

ai-framework-comparison

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.

원문 언어: 영어

ai-framework-selector

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.

원문 언어: 영어

ai-ml

Implements intelligent ai ml with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

ai-model-selector

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.

원문 언어: 영어

ai-persona-design

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.

원문 언어: 영어

ai-system-evaluation-criteria

Evaluates AI agent systems against defined requirements using golden datasets, adversarial testing, hallucination metrics, latency benchmarks, and safety compliance checks.

원문 언어: 영어

airflow-dag-patterns

Implements intelligent airflow dag patterns with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

airtable-automation

Implements intelligent airtable automation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

analyze-project

Implements intelligent analyze project with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

andruia-consultant

Implements intelligent andruia consultant with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

andruia-niche-intelligence

Implements intelligent andruia niche intelligence with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

andruia-skill-smith

Implements intelligent andruia skill smith with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

antigravity-skill-orchestrator

Implements intelligent antigravity skill orchestrator with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

antigravity-workflows

Implements intelligent antigravity workflows with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

api-documentation

Implements intelligent api documentation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

api-security-testing

Implements intelligent api security testing with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어

apify-actor-development

Implements intelligent apify actor development with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense

원문 언어: 영어