Browse skills

Dream Memory — provides AI agent assistance for software development workflows.

Analyzes Rust code to identify and resolve ownership and borrowing issues, ensuring memory safety and preventing data races.

Monitors system resource usage (CPU, memory, disk), alerting on anomalies and potential performance bottlenecks.

Analyzes Rust code for linear type usage errors and suggests safe refactoring strategies to prevent memory unsafety.

Safely manage Rust data lifetimes and prevent memory errors using huiali's rust-pin pinning utility.

Safely manages complex Rust unsafe code blocks, minimizing errors and ensuring memory safety within backend systems.

Reduces AI memory usage during complex tasks by intelligently pruning less relevant data for vanman2024 agents.

Efficiently query, update, and manage large datasets using Salvo-RS's optimized, in-memory database capabilities.

Analyzes Rust code's memory safety properties based on Hoare logic principles to identify potential issues.

Identifies and resolves memory corruption issues within Axiom codebases using advanced AI analysis and debugging techniques.

Molty-Assistant's memory agent stores, retrieves, and summarizes past conversations for context and improved future interactions.

Build custom LangChain agents with pre-configured tools and memory for complex task automation.

This "Release" skill automates deployment pipelines, streamlining software releases and reducing manual effort for faster updates.

Analyzes and optimizes mobile web page performance metrics like load time and memory usage using automated testing.

Stores and retrieves user interactions within a mobile app session for improved personalization and debugging.

Manages Tauri app resources (memory, CPU) for optimal performance and stability – crucial for efficient application execution.

Continuously tracks system resource usage (CPU, memory, disk I/O) and alerts on anomalies or thresholds.

Provides Python guidance and assistance for software development workflows.

Helps with Swift, management as part of building frontend UIs and user experiences workflows.

Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure — works offline.

Semantic memory search using Qdrant + Ollama embeddings (QRAS). Use as primary method for recalling workspace files, notes, decisions, and prior work before falling back to built-in search.

Detects memory errors (use-after-free, heap buffer overflows) in C/C++ code during testing, preventing production bugs.

This skill analyzes text to identify concepts and relationships held in short-term "working memory," aiding comprehension & recall.

Distill Memory condenses lengthy texts into key insights and summaries, saving you time and boosting comprehension.