11 skills found
OpenBMB / UltraRAGA Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
strands-agents / sdk-pythonA model-driven approach to building AI agents in just a few lines of code.
doobidoo / mcp-memory-serviceOpen-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
jabrena / cursor-rules-javaThe project provides a curated collection of System prompts & Skills for modern SDLC that help software engineers and pipelines in their daily work for Java Enterprise development.
SpillwaveSolutions / running-marketing-campaigns-agent-skillClaude Code skill for planning, executing, and measuring digital marketing campaigns. Includes UTM tracking, content strategy, email sequences, social media tactics, brand voice guidelines, and analytics frameworks.
nexla-opensource / "nexla-data-flows-operator"Build, deploy, monitor, and troubleshoot production Nexla data pipelines via Python SDK or REST API. Use for flow setup, data transformation pipelines, schema management, access control, credential rotation, batch operations, error recovery, monitoring, CI/CD integration, and operational troubleshooting.
Aditya-Karmalkar / convex_rules--- description: Guidelines and best practices for building Convex projects, including database schema design, queries, mutations, and real-world examples globs: / .ts, / .tsx, / .js, / .jsx -
0xNebulaLumina / scratchpadAugment Guidelines and Scratchpad Current Task: Update README.md Documentation Task Description: Update the README.md documentation to reflect the new Request/Response Processing and Overri
ProsperCoded / guidlineThis document outlines the core context and design principles for the Fullstack Developer (Backend-focused) portfolio website. This will serve as a constant reference for all future development. Pr
LuckSeeker / playwrightTESTING Guidelines for E2E PLAYWRIGHT - Initialize configuration only with Chromium/Desktop Chrome browser
eersnington / convex_rulesGuidelines and best practices for building Convex projects, including database schema design, queries, mutations, and real-world examples
