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.
325 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.
A structured PRD generator for vibe-coding MVPs. It guides you through defining product requirements, target audiences, and success metrics, ensuring a clear foundation for your development workflow.
Perform comprehensive code reviews with a focus on security vulnerabilities, performance optimization, maintainability, and code correctness.
Universal media processing agent skill for converting, compressing, trimming, and editing audio/video files using FFmpeg.
Expert assistant for designing and optimizing production-grade Trigger.dev background jobs, AI workflows, and resilient asynchronous task architectures in TypeScript.
Generate optimized SQL queries from natural language. Supports BigQuery, PostgreSQL, MySQL, and Snowflake. Analyze database schemas, interpret business requirements, and output ready-to-run queries with explanations.
One-click publishing of Markdown articles to WeChat Official Account drafts, featuring automated image hosting, multi-theme styling, and code syntax highlighting.
Morph WarpGrep and Fast Apply tools for high-speed agentic code search, deep logic analysis, and efficient AI-driven code editing.
Teacher-focused student profiling tool: OCR answer sheets, summarize performance, and update student profiles with targeted physics learning goals.
Bayesian modeling and probabilistic programming with PyMC. Build hierarchical models, perform MCMC sampling (NUTS), variational inference, and conduct rigorous model comparison using LOO and WAIC.
Implement robust Rust backend services using Axum, SQLx, and thiserror with production-grade patterns.
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.