elasticsearch
Elasticsearch DBA skill for cluster architecture, mapping design, performance tuning, and production operations including ILM, shard strategy, and troubleshooting.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
451 skills found
Elasticsearch DBA skill for cluster architecture, mapping design, performance tuning, and production operations including ILM, shard strategy, and troubleshooting.
Preserve successful Python code executions as reusable tools within the gentools package structure, utilizing Pydantic models for structured output and type-safe interfaces.
Architect production-grade LLM applications using LangChain 1.x and LangGraph. Implement stateful AI agents, multi-step workflows, and custom memory systems for complex conversational and automation tasks.
Advanced Git workflow automation including rebase strategies, bisect debugging, cherry-picking, and conflict resolution with safety guardrails.
Definitive guide for managing time in OpenClaw. Schedule reliable reminders and recurring system maintenance tasks using Cron vs Heartbeat.
Guides writing, debugging, and maintaining Bun bundler tests using itBundled and expectBundled to verify transpilation, minification, and code transformation.
Enforce high-quality Java 17+ coding standards, Spring Boot conventions, and maintainable project structures.
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
Guide for integrating and managing custom Model Context Protocol (MCP) servers within the Cursor IDE environment.
Build and manage MCP servers using the FastMCP framework. Guide for creating tools, resources, prompts, Claude Desktop integration, and deployment with Python and TypeScript.
A framework for creating, iterating, and managing reusable evolving workflows that combine structured documentation with custom Python automation tools.
A comprehensive guide and reference for building, orchestrating, and deploying AI agents using the Google Agent Development Kit (ADK).