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.
540 skills found
Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.
Enforces structured self-assessment checkpoints to validate approach, mitigate risks, and ensure quality before, during, and after task execution.
End-to-end autonomous research agent: from idea generation and literature review to experiment execution, adversarial review loops, and paper writing.
A microworld operating system for LLM-based agent living memory, transforming filesystems into navigable rooms and code into habitable worlds.
Foundational architectural principles for MoAI-ADK, featuring TRUST 5, SPEC-First TDD, delegation patterns, and token-efficient agent orchestration workflows.
Autonomous multi-agent LinkedIn system using LangGraph and Claude Opus 4.5 for trend research, content creation, voice profiling, and analytics-driven optimization.
Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.
Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.
Guide new contributors through the Chops development environment, including prerequisite checks, project generation via xcodegen, and architecture orientation.
MIKE-FIRST v6.0: An enterprise multi-cloud resilience platform for compliance auditing, security intelligence, and zero-downtime cloud migration.
Fetch, download, and batch process web images in various formats (JPG, PNG, WebP, SVG, etc.) for embedding, archiving, or chat integration.
Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.