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Found 130 Skills
Execute tasks from TODO file - Generic task runner [/todo-task-run xxx]
Guide for debugging and fixing bugs in the OCaml garbage collector, particularly memory management issues in the runtime's sweeping and allocation code. This skill applies when working on OCaml runtime C code, investigating segfaults in GC operations, or fixing pointer arithmetic bugs in memory managers with size-classed pools and run-length encoding.
Expert Guide to Indie Game Development with Go (Golang) and its game engines (such as Ebitengine or Raylib-go). Covers core areas including memory management, concurrency-safe game loops, asset embedding (go:embed), and cross-platform cross-compilation. Suitable for scenarios where high-performance 2D/3D games are built using the Go ecosystem.
Daily startup and closeout rituals. Use when: (1) starting the workday; (2) wrapping up the day. NOT for: mid-day task management (use task); compound loop (use work); memory directly (use memory).
Manage AI agent memory files (AGENTS.md/CLAUDE.md). Supports update and restructure modes. Use this when users need to sync, update, or restructure agent memory files. Triggered by keywords such as "记忆文件", "memory file", "AGENTS.md", "更新记忆", "重构记忆", "memory sync", "memory restructure".
Provides Zig patterns for type-first development with tagged unions, explicit error sets, comptime validation, and memory management. Must use when reading or writing Zig files.
Guidelines for backend development in C++ and Elixir/Phoenix, covering modern language features, best practices, and production-ready patterns.
Use when users want to maintain persistent memory across sessions, track user preferences, store important decisions, manage tasks and reminders, or provide personalized service with cross-session context.
Use the Supermemory CLI to programmatically manage memories, documents, profiles, tags, connectors, keys, and teams from the terminal. Covers all commands, flags, and usage patterns.
Automatic context summarization for long-running sessions. Use when context is approaching limits, summarizing completed work, preserving critical information, or managing token budgets.
Expert in managing the "Memory" of AI systems. Specializes in Vector Databases (RAG), Short/Long-term memory architectures, and Context Window optimization. Use when designing AI memory systems, optimizing context usage, or implementing conversation history management.
Use when physics contacts don't fire, objects tunnel through walls, frame rate drops, touches don't register, memory spikes, coordinate confusion, or scene transition crashes