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Found 319 Skills
Analyze Windows Registry hives for forensic investigation. Use when investigating malware persistence, user activity, system configuration changes, or evidence of program execution. Supports offline registry analysis from disk images or extracted hives.
Create, read, and manage Feishu tasks with automatic user authorization. Use when you need to create tasks that your user can directly edit, read task lists, manage task details, or check calendar events. Supports automatic token refresh and persistence across sessions. All operations are performed with user identity, ensuring proper permissions.
Spring Data Redis for caching, session storage, and data persistence. Covers RedisTemplate, @Cacheable, repositories, pub/sub, and distributed locks. USE WHEN: user mentions "spring data redis", "RedisTemplate", "@Cacheable", "Spring Boot caching", "@RedisHash", "spring session redis", "distributed lock Spring" DO NOT USE FOR: raw Redis commands - use `redis` instead, non-Spring Redis clients - use `redis` instead
Flutter DuskMoon UI design system — theme, adaptive widgets, settings, feedback, forms, data visualization, code editor engine, and BLoC theme persistence. Use when building Flutter apps with duskmoon_ui, duskmoon_theme, duskmoon_widgets, duskmoon_settings, duskmoon_feedback, duskmoon_form, duskmoon_visualization, duskmoon_code_engine, or duskmoon_theme_bloc packages.
Two-layer autonomous conductor — design loop produces decision packets, dispatch loop routes to bounded issues with dedupe/cooldown/archive controls. Replaces v1's single-agent persistence with a durable control loop that stops only at real blockers.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Persistent memory architecture for AI agents across sessions. Episodic memory (past events), procedural memory (learned skills), semantic memory (knowledge graph), short-term memory (active context). Use when implementing cross-session persistence, skill learning, context preservation, personalization, or building truly adaptive AI systems with long-term memory.
Production-tested setup for Zustand state management in React applications with TypeScript. This skill provides comprehensive patterns for building scalable, type-safe global state. Use when: setting up global state in React, migrating from Redux or Context API, implementing state persistence with localStorage, configuring TypeScript with Zustand, using slices pattern for modular stores, adding devtools middleware for debugging, handling Next.js SSR hydration, or encountering hydration errors, TypeScript inference issues, or persist middleware problems. Prevents 5 documented issues: Next.js hydration mismatches, TypeScript double parentheses syntax errors, persist middleware export errors, infinite render loops, and slices pattern type inference failures. Keywords: zustand, state management, React state, TypeScript state, persist middleware, devtools, slices pattern, global state, React hooks, create store, useBoundStore, StateCreator, hydration error, text content mismatch, infinite render, localStorage, sessionStorage, immer middleware, shallow equality, selector pattern, zustand v5
Advanced window and view management patterns for Electrobun desktop applications. This skill covers multi-window architectures, BrowserView for embedded webviews, window lifecycle management, window orchestration, tab systems, and complex window hierarchies. Use this skill when building applications with multiple windows, implementing browser-like tab interfaces, managing parent-child window relationships, creating floating panels or toolbars, implementing picture-in-picture modes, managing window state persistence across sessions, or building applications that require sophisticated window coordination. Triggers include "multiple windows", "tab system", "BrowserView", "window orchestration", "floating window", "child window", "window state", "window manager", "multi-window app", or discussions about complex window management in Electrobun desktop applications.
Best practices for using agent-browser with Kernel cloud browsers. Use when automating websites with agent-browser -p kernel, dealing with bot detection, iframes, login persistence, or needing to find Kernel browser session IDs and live view URLs.
Implements Syncfusion React Grid component for feature-rich data tables and grids. Use this when working with data display, sorting, filtering, grouping, aggregates, editing, or exporting. This skill covers grid configuration, CRUD operations, virtual scrolling or infinite scrolling, hierarchy grids, state persistence, and advanced data management features for data-intensive applications.
Core patterns for AI coding agents based on analysis of Claude Code, Codex, Cline, Aider, OpenCode. Triggers when: Building an AI coding agent or assistant, implementing tool-calling loops, managing context windows for LLMs, setting up agent memory or skill systems, or designing multi-provider LLM abstraction. Capabilities: Core agent loop with while(true) and tool execution, context management with pruning and compression and repo maps, tool safety with sandboxing and approval flows and doom loop detection, multi-provider abstraction with unified API for different LLMs, memory systems with project rules and auto-memory and skill loading, session persistence with SQLite vs JSONL patterns.