Skill UI

Generate decision-ready reports from AI agent evaluation runs. This skill ensures autonomous, assisted, failed, and timed-out outcomes remain distinct and comparable. It defines metrics with correct denominators, handles latency and cost populations honestly, and maps evidence to decision gates. Ideal for benchmarking, regression testing, and production readiness validation of AI agents.

This skill enables users to discover, compare, and research autonomous AI agents using the AgentFolio directory. It helps map the landscape of agent frameworks and tools, identify market gaps, and gather benchmarks before building new agents. Ideal for evaluating existing solutions, understanding integration surfaces, and tracking emerging trends in agent architectures and deployments.

A comprehensive workflow for building autonomous AI agents, multi-agent systems, and orchestration patterns using frameworks like CrewAI and LangGraph. Covers agent design, implementation, tool integration, memory systems, and evaluation to create robust intelligent applications.

This toolkit provides six expert-level workflows for AI engineering, including prompt evaluation, context budget planning, RAG pipeline design, agent security audits, evaluation harness building, and product sense coaching. It transforms AI coding assistants into senior partners by offering structured methodologies, quantitative scoring, and decision frameworks. Suitable for optimizing LLM systems, designing secure agents, and planning product strategy before development.

This skill enables structured AI red team exercises to evaluate model resilience against jailbreaks, data exfiltration, and harmful outputs. It helps identify exploitable failure modes before attackers do, suitable for new LLM features, third-party model evaluation, and compliance audits. Includes adversarial prompt libraries and automated testing scripts for security assessments.

Analyzes AI-assisted coding sessions to identify root causes of scope drift and rework. Evaluates prompt sufficiency, classifies change types, and provides evidence-backed recommendations for improving future workflows and prompt engineering.

A meta-skill that evaluates task complexity, selects and combines appropriate skills from local or catalog sources, records successful skill combinations via agent-memory-mcp, and guards against over-engineering simple tasks.

This skill helps discover and evaluate influencers across Instagram, Facebook, YouTube, and TikTok for brand partnerships. It verifies authenticity, tracks engagement, and provides actionable data for campaign planning using Apify Actors.

This skill provides expert-level review and guidance for complex software systems. It covers modern architecture patterns like microservices, event-driven design, and clean architecture. The architect evaluates scalability, resilience, security, and maintainability. It helps ensure architectural integrity and compliance with best practices across distributed systems and cloud-native environments.

This framework provides a comprehensive, structured approach for making critical architectural decisions. It guides users through requirements analysis, detailed trade-off evaluation, and documenting decisions using Architecture Decision Records (ADRs). It is essential when analyzing or designing complex system architectures to ensure simplicity, robustness, and maintainability.

Comprehensive expert for deploying and managing AI agents at scale using AWS Bedrock AgentCore. Covers nine core services including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, and Evaluations. Provides deployment patterns, integration workflows, and AWS CLI usage.

A powerful cognitive tool that moves beyond surface-level brainstorming. It forces users to systematically deconstruct complex problems down to their 'irreducible truths.' The skill identifies 8-12 hidden assumptions (Surface, Middle, Deep), classifies them (Fact, Convention, Belief, Interest-Driven), and ranks them by Fragility × Impact. This process allows users to stress-test their premises and rebuild conclusions based only on verified realities, making it invaluable for major life decisions or business hypothesis testing.