paper-reproduce
Systematic methodology for reproducing published academic papers using provided data, including sample selection, statistical verification, and automated reporting.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
170 skills found
Systematic methodology for reproducing published academic papers using provided data, including sample selection, statistical verification, and automated reporting.
Maintain a structured DEBUG_LOG.md for recording bugs, debugging processes, and solutions to ensure project stability and knowledge retention.
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.
An AI-powered TestOps platform and MCP server providing automated failure analysis, RCA matching, and intelligent test orchestration for CI/CD pipelines.
Download and analyze YouTube video transcripts to extract technical insights, summarize complex tutorials, and relate video content to your codebase.
Systematic technical conversation logging for developers and engineers. Captures decisions, implementation details, and session outcomes with factual precision.
Systematic Kubernetes troubleshooting, pod diagnostics, cluster health monitoring, and incident response playbooks.
A deep analysis tool for A-share markets generating interactive, FT-style HTML daily reports using multi-agent parallel architecture, AkShare data, and Tavily news.
Analyze C++ code for real-time safety violations including heap allocations, locks, blocking calls, and non-deterministic operations in high-performance audio threads.
Master SEO fundamentals with E-E-A-T, Core Web Vitals tracking, technical optimization, and AI content best practices for improved search visibility.
Search the web for real-time information, technical documentation, or research topics using WebSearch and WebFetch tools.
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.