ragcode-sse
Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
161 skills found
Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.
AWS DynamoDB engineering assistant for schema design, query optimization, single-table patterns, and infrastructure management using Boto3 and AWS CLI.
Senior backend architecture expert specializing in Hexagonal Architecture, DDD, SOLID principles, clean code, and refactoring to guide development, reviews, and architectural problem-solving.
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
Automate the migration of Netflix Conductor workflows to Temporal Python, including server orchestration, worker management, and workflow troubleshooting.
An automated memory middleware for AI agents, implementing a Retrieve-Respond-Save loop to maintain long-term persistent context across conversations.
Provider-agnostic MCP skill for wait-for-change automation on PR events like status checks, merges, and comments.
Enables cross-session context persistence for Claude Code, managing history, project decisions, and workflow patterns to ensure seamless task continuation.
Load, validate, and preprocess weekly insurance policy CSV data with intelligent period detection and standardization.
Skill for managing MCP-based research, documentation lookups, and coordination between external search tools and plugin-backed memory systems.
Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.
Analyze GitHub repository structure, documentation, dependencies, and contributor patterns for codebase health and development insights.