python-plan-optimization
6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
126 skills found
6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).
Search the live web using Baidu AI Search Engine (BDSE) for real-time information, documentation, and research topics.
Language-agnostic backend architectural patterns covering API design, authentication, security protocols, and database modeling.
Optimizes Prisma Client connection pool settings for production databases, serverless environments, and high-concurrency architectures to prevent connection exhaustion and performance bottlenecks.
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 testing utility for the npm-agentskills framework, designed to validate Nuxt module integration and skill discovery patterns.
Semantic Go code navigation and analysis tool using the Language Server Protocol (LSP) for accurate, high-performance project intelligence.
Handles large-scale tasks by automatically breaking them down into manageable, recursive sub-tasks to overcome context window limits and improve reasoning accuracy on large codebases and document sets.
Autonomous research specialist for verified information gathering, source evaluation, and structured synthesis.
Expert technical support for the Litestream disaster recovery tool, covering WAL monitoring, LTX replication, cloud storage backends, and SQLite page management.
Master SEO fundamentals with E-E-A-T, Core Web Vitals tracking, technical optimization, and AI content best practices for improved search visibility.
High-performance in-memory DataFrame library for Python and Rust. Features lazy evaluation, parallel execution, and an Apache Arrow backend for efficient ETL, data processing, and faster pandas alternatives.