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Found 74 Skills
Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns
Post-task review. Extract learnings, classify, write to memory layers, and reconcile GitHub issues.
Python 3.11+ performance optimization guidelines (formerly python-311). This skill should be used when writing, reviewing, or refactoring Python code to ensure optimal performance patterns. Triggers on tasks involving asyncio, data structures, memory management, concurrency, loops, strings, or Python idioms.
Luau best practices and clean code patterns for Roblox development. Use this skill when: - Writing new Luau modules, services, or controllers - Reviewing code for quality and maintainability - Setting up project structure and organization - Implementing error handling and validation - Managing memory and preventing leaks - Writing secure server-authoritative code - Following Roblox-specific conventions - Refactoring or improving existing code Triggers: "best practices", "clean code", "code review", "refactor", "code quality", "naming convention", "code style", "module pattern", "service pattern", "memory leak", "error handling", "pcall", "security", "server authority", "validation", "code organization"
Expert Swift decisions Claude doesn't instinctively make: struct vs class trade-offs, @MainActor placement, async/await vs Combine selection, memory management pitfalls, and iOS-specific anti-patterns. Use when writing Swift code for iOS/tvOS apps, reviewing Swift architecture decisions, or debugging memory/concurrency issues. Trigger keywords: Swift, iOS, tvOS, actor, async, Sendable, retain cycle, memory leak, struct, class, protocol, generic
LangGraph checkpointing and persistence. Use when implementing fault-tolerant workflows, resuming interrupted executions, debugging with state history, or avoiding re-running expensive operations.
Performance optimization guide for Capacitor apps covering bundle size, rendering, memory, native bridge, and profiling. Use this skill when users need to optimize their app performance.
Letta framework for building stateful AI agents with long-term memory. Use for AI agent development, memory management, tool integration, and multi-agent systems.
Comprehensive Zig 0.15.2 development expert. Use when writing Zig code, debugging memory issues, designing build systems, implementing comptime metaprogramming, handling errors, or cross-compiling. Automatically activated for any .zig file or build.zig work.
Long-term semantic memory across sessions using Mem0. Use when you need to remember, recall, or forget information across sessions, or when referencing what we discussed last time or in a previous session.
Reviews Elixir code for performance issues including GenServer bottlenecks, memory usage, and concurrency patterns. Use when reviewing high-throughput code or investigating performance issues.
Silently refresh AI context by reading project configuration and guidelines. Use when starting a new conversation, after context loss, or before major tasks.