ReasoningBank with AgentDB
Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
104 skills found
Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.
Perform comprehensive code reviews with a focus on security vulnerabilities, performance optimization, maintainability, and code correctness.
Comprehensive Linux development environment management for compilers, build tools, IDEs, and debugging workflows.
The final execution agent for the vibe-coding workflow. Builds your MVP incrementally by following the AGENTS.md master plan, managing session continuity, and verifying each feature via testing.
Implement comprehensive TypeScript authentication and authorization using Better Auth, supporting OAuth, 2FA, passkeys, sessions, and multi-tenant features.
Your personal AI coding tutor that creates customized tutorials based on your actual codebase, tracks your learning progress, and uses spaced repetition to ensure mastery.
Scaffold custom React Flow node components with TypeScript, Zustand integration, and standard handles for visual workflow editors.
Formik form handling, validation schemas with Yup, and submission patterns for React applications.
Create and edit Obsidian Bases (.base files) with database-like views, complex filters, custom formulas, and data summaries.
Standardized Java development guidelines including naming conventions, exception handling, Spring Boot best practices, and concurrency patterns.
Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.
Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.