Blog
Filter by tags:AILLMPythonData EngineeringBackendThinking Toolsdeep learningmachine learningneural networkspytorchAI AgentsAPI IntegrationAutomationCRMClaudeComputer VisionCreativityDeep LearningEmbeddingsEvaluationJIRAMachine LearningProductivitySalesforceSecurityStorageWeb DevelopmentWritingtrainingAI ApplicationsAI EngineeringAI GatewayAPIAPI ManagementASGIAgent ArchitectureAgent SkillsAgentic SystemsAgentsAnalyticsAnthropicArchitectureAuthenticationAuthorizationBackend EngineeringBest PracticesCDCCNNChatbotCloud StorageCognitionDOCXData IngestionData ModelingData PipelinesData SystemsDatabaseDebuggingDesktop ApplicationDeveloper ToolsDocument ParsingEmailFastAPIFastHTMLFile ProcessingFile UploadFile UploadsFrameworkFundamentalsGeminiGmail APIGoogle DriveHTMXIndustrial AutomationInfrastructureJudgingKnowledge DistillationLLM JudgeLinear RegressionMCPManufacturingModel CompressionMulti-Step ReasoningNLPNestJSOpenTelemetryPDFPerformanceProduction SystemsPrompt EngineeringPruningPydanticPydantic AIQualityQuality ControlQuantizationRAGREST APIReliabilitySOQLSemantic SearchSpeechStatisticsSteel IndustryTask ManagementTechnical ArticlesText ProcessingTool-Based AIUXValidationVector Searchactivation layerloss functions
-
Understanding Anthropic Agent Skills: From Tool-Calling to Expertise Modules
Agent Skills transform AI agents from generalists that need constant instruction into specialists with reusable expertise. This article demystifies what Skills are, how they differ from tools and prompts, and why they represent a fundamental shift in how we build reliable AI systems.
-
Building AI Agents from Scratch
Learn how to build AI agents from scratch using Python, explicit tools, and a transparent control loop for safe, reliable reasoning.
Subscribe via RSS or enter your email to get notified of new posts directly in your inbox