'computer' 검색 결과

Plan X content, improve opening lines and threads, and review account performance using post data. With a focus on AI and technology, the skill supports content reviews, weekly growth plans, and HTML diagnostic reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding topics for AI and technology posts
• Comparing opening lines and planning threads
• Reviewing posts and profile text

Reconstruct USB device usage on Windows by comparing registry records, Event Logs, and device installation logs. Identify devices, correlate connection times and drive letters, and build a timeline for removable media investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected data removal through USB storage
• Checking whether unapproved USB devices were connected
• Correlating USB connections with malware execution

Run language models locally with llama.cpp on CPUs, Apple Silicon, or AMD and Intel GPUs. The skill guides model setup, memory-saving GGUF format choices, interactive chat, and serving models through an OpenAI-compatible API.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running a language model on a CPU-only computer
• Setting up local chat on an Apple Silicon Mac
• Choosing model quantization to fit available memory

Use SAM to identify object regions in images from points, boxes, or existing masks. The skill provides implementation examples for transparent cutouts, automatic mask generation, annotation tools, and model selection based on available resources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting objects with transparent backgrounds
• Building annotation tools with point or box selection
• Generating object masks automatically

Build image generation workflows in Python with Stable Diffusion and HuggingFace Diffusers. The guide covers text prompts, transforming existing images, replacing selected regions, controlling composition, applying learned styles, and adjusting memory use during generation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating images from text descriptions
• Changing the style of an existing image
• Replacing a selected region of an image

Organize PyTorch training code with LightningModule and Trainer. Follow examples for validation, logging, model saving, and distributed training across multiple GPUs, with callbacks that add monitoring or stop training when progress stalls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting an existing PyTorch training loop
• Adding validation, logs, and model checkpoints
• Configuring training across multiple GPUs

Prepare text, image, and video posts for X, or turn Markdown drafts into long-form X Articles. The skill uses a real Chrome browser to compose content and supports review before publishing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing an X post with images
• Sharing a video with accompanying text
• Turning a Markdown draft into an X Article

Inspect Mac performance to find processes using excessive CPU, GPU, memory, or energy. Combine measurements with explanations of known system processes to diagnose slowness, heat, and startup load, then recommend actions without changing system settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find the cause of a slow Mac
• Investigate loud fans and overheating
• Check memory pressure and swap activity

Collect social posts, business listings, and product reviews through Apify actors, ready-made data collection tools. Filter results by date, rating, or engagement in code before sending relevant records to the AI for research or lead generation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find competitors' most popular social posts
• Build a contact list of local businesses
• Extract recent negative Amazon reviews

Delegate development tasks to external coding agents such as Codex and Claude Code through command-line tools. Choose local or container execution, check setup, provide a self-contained task brief, and inspect important changes afterward.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegating project work to a local coding agent
• Running a coding agent inside an Agent Zero container
• Checking CLI setup before assigning a task

Operate Agent Zero's built-in Linux desktop to work with LibreOffice, files, and terminal apps. The skill guides visual layout checks, live spreadsheet edits, and saved-result verification within the internal desktop environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspect and adjust document or slide layouts in LibreOffice
• Update spreadsheet cells visibly in Calc
• Browse project files in the desktop file manager

Get guidance for installing A0 CLI on Windows, macOS, or Linux and connecting it to Agent Zero for local file and host tool access. Troubleshoot installation, instance discovery, and connection errors step by step.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Installing A0 CLI on a personal computer
• Connecting Agent Zero to local files and host tools
• Entering the correct URL when discovery fails

Find published journal and conference papers through Semantic Scholar, filtering by year, field, type, or citation count. Compare publication details and abstracts, with DOI links, short summaries, and open access PDFs when available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find journal and conference papers on a research topic
• Filter literature by year or citation count
• Look up a specific paper by DOI

Explore hardware and electronic design configurations by repeatedly running programs, measuring results, and adjusting parameters. Track constraints and every trial, then report the best configuration found within the time and iteration limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tuning cache sizes and processor configuration
• Reducing circuit area while meeting timing constraints
• Comparing compiler flags for runtime or code size

Organize scattered files by type, purpose, or date, find duplicates, and review older material. Get a proposed folder structure, then approve file moves and renaming, with confirmation required before any deletion.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sorting a cluttered Downloads folder
• Finding duplicates and choosing which copies to keep
• Separating active projects from archived work

Run MNN checks and regression tests on a host computer or Android device, with stage summaries and failure logs. A separate workflow benchmarks LLM prompt processing and token generation on real iPhones and iPads, including branch comparisons.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run static checks and host regression tests
• Verify selected backends on an Android device
• Benchmark LLM speed and compare branches on iPhone or iPad

Deploy internal web apps and dashboards to a runtime that stays available after the conversation ends. Share a stable link with authorized people, publish updates as separate versions, and restore an earlier version when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publish an internal dashboard
• Keep a web app available after a conversation
• Share an app with a team or channel

Inspect GitHub and GitLab repositories, issues, and proposed code changes, then prepare small fixes with tests and review summaries. Uses existing command-line authentication and requires approval before publishing changes or modifying repository records.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review open issues and proposed code changes
• Summarize changes using commit history
• Prepare and test a small code fix

Operate real desktop apps and browser windows by inspecting controls, clicking, typing, and checking the result after each action. Use it for settings changes, window arrangement, or verifying a complete workflow through the interface.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Changing settings through the desktop interface
• Clicking Save or entering text in an app
• Inspecting and arranging desktop windows

Create masks that identify object regions in images using points, boxes, or existing masks. The skill guides automatic mask generation, transparent-background extraction, annotation workflows, and deployment, without requiring training for each specific task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting objects with transparent backgrounds
• Building annotation tools with point and box selection
• Generating object masks automatically

Explore computer science and AI research directions using eight creativity frameworks. Combine ideas across fields, question hidden assumptions, and transfer mechanisms from other disciplines to develop research questions with testable predictions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding research directions beyond incremental improvements
• Connecting mechanisms across distant disciplines
• Reframing a research problem that feels stuck

Build image generation workflows in Python with Stable Diffusion and HuggingFace Diffusers. The guide covers text prompts, transforming existing images, replacing selected regions, controlling composition, applying learned styles, and adjusting memory use during generation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating images from text descriptions
• Changing the style of an existing image
• Replacing a selected region of an image

Convert language models to GGUF and reduce their size through quantization, which stores model weights at lower precision. Guides cover compression choices, local inference on CPUs and Apple Silicon, and integration with tools such as Ollama.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running a language model on a CPU-only computer
• Choosing model compression for available memory
• Configuring Metal acceleration on Apple Silicon

Organize PyTorch training code with LightningModule and Trainer. This skill guides training, validation, logging, model checkpoint saving, early stopping when progress stalls, and configuration for running the same model across multiple GPUs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize existing PyTorch training code
• Add validation and metric logging
• Save the best models and stop stalled training