Explore our collection of Agent Skills to enhance your AI workflow.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Automates the creation and updating of structured Pull Request descriptions by analyzing commit history and code changes.
Implements high-performance similarity search and vector database patterns for RAG, semantic search, and recommendation systems.
Combines vector similarity and keyword-based search to improve information retrieval accuracy in RAG systems and search engines.
Coordinates high-volume batch operations using atomic locking patterns to prevent duplicate processing across parallel agents.
Organizes Higher Degree Research (HDR) student supervision, task management, and academic document workflows.
Implements comprehensive evaluation strategies for Large Language Model applications using automated metrics, human feedback, and LLM-as-judge patterns.
Generates clear, accessible, and professional Mermaid flowcharts following structural and aesthetic best practices.
Architects and implements sophisticated LLM applications using LangChain 1.x and LangGraph for advanced agent orchestration and state management.
Optimize vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for efficient similarity search.
Synchronizes manual decision annotations from daily notes with the task management system to automate status updates and dependency tracking.
Maintains and optimizes personal knowledge bases and task hierarchies through incremental gardening activities like weeding, linking, and pruning.
Builds high-performance Retrieval-Augmented Generation (RAG) systems for AI applications using vector databases and semantic search.
Orchestrates academicOps framework development through structured workflow routing, task lifecycle management, and logical derivation systems.
Manages framework infrastructure through standardized workflows, rigorous task lifecycles, and axiom-based logical derivation.
Implements mobile-optimized Tailwind CSS patterns for React Native using NativeWind.
Creates organic, hand-drawn diagrams and mind maps using Excalidraw for clear and engaging visual communication.
Automates framework index curation and executes agent-driven acceptance tests to ensure documentation stays in sync with implementation.
Conducts exhaustive, multi-threaded investigations using parallel agent teams to produce high-confidence synthesized reports from 20+ sources.
Converts Markdown documents into professionally formatted academic papers and formal letters with high-quality typography and automated layout detection.
Keeps technical documentation in sync with codebase changes by identifying discrepancies and updating code examples.
Synchronizes project documentation with real-time codebase changes to ensure accuracy and prevent outdated examples.
Keeps project documentation perfectly aligned with codebase changes by identifying discrepancies and verifying API signatures.
Keeps technical documentation and code implementations perfectly synchronized by identifying discrepancies and updating outdated examples.
Synchronizes IdeaVim documentation with code changes by verifying API signatures and implementation patterns.
Manages multiple terminal windows and background processes within tmux for complex development workflows.
Automates the review of C# code changes to ensure compliance with modern .NET 10 standards, SOLID principles, and architectural best practices.
Builds high-performance, cross-platform desktop and mobile applications using Avalonia UI and modern C# patterns.
Conducts comprehensive epidemiological analyses in R, covering study design, causal inference, and outbreak investigation.
Provides comprehensive R-based methods for epidemiological analysis, study design, and causal inference.
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