'flash' 검색 결과

Automate Apiflash operations through Rube MCP, a connection for agent tools. The skill guides discovery of available actions, connection verification, and execution using current input requirements, plus handling bulk operations and results across multiple pages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find available tools for an Apiflash task
• Check the Apiflash connection before execution
• Retrieve results across multiple pages

Automate Apiflash operations through Rube MCP, a connection for agent tools. The skill guides discovery of available actions, connection verification, and execution using current input requirements, plus handling bulk operations and results across multiple pages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find available tools for an Apiflash task
• Check the Apiflash connection before execution
• Retrieve results across multiple pages

Optimize transformer attention, the calculation that relates tokens to one another, using Flash Attention. The skill guides PyTorch integration, GPU memory reduction, performance measurement, and output comparisons for training or inference with long sequences.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reducing GPU memory use with long sequences
• Integrating Flash Attention into PyTorch models
• Comparing runtime and outputs before and after changes

Integrate Flash Attention into transformer models to reduce processing time and GPU memory use for long sequences. Covers PyTorch integration, advanced attention options, and benchmarks that compare speed, memory use, and output accuracy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Speeding up transformer training on long sequences
• Reducing GPU memory use during attention
• Adding Flash Attention to a PyTorch model

긴 입력을 다루는 Transformer의 학습과 추론에 Flash Attention을 적용해 속도와 GPU 메모리 사용량을 개선합니다. 설치부터 성능 측정과 출력 비교까지 안내합니다.

• 긴 입력을 사용하는 학습 속도 개선
• 긴 텍스트 추론의 메모리 사용량 절감
• 처리 속도와 모델 출력 비교

Use Intel CHIPSEC to inspect firmware protections, including BIOS write locks and Secure Boot settings. Save test results, extract firmware for offline comparison, and review UEFI variables to investigate configuration weaknesses or suspicious changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Establishing a firmware security baseline for new hardware
• Checking BIOS and SPI flash write protection
• Extracting firmware for comparison with a known-good image

Review GIFs, videos, and CSS animations for rapid flashing that may trigger seizures in photosensitive users. Check flash frequency and screen area, then suggest removing or slowing effects or replacing them with fades or static content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking flashing effects in animated GIFs
• Reviewing rapid flashing in videos and CSS animations
• Replacing flashing effects with fades or static content

Turn law study outlines, notes, or textbook excerpts into flashcards, then practice one question at a time in chat. Self-assessment updates learning stages and review dates, while subject-level statistics highlight concepts that need more work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating rule memorization cards from class notes
• Practicing a focused five-card study session
• Reviewing previously missed or due cards

Prepare an M5Stack device connected over USB by detecting it, flashing UIFlow 2.0 firmware, and installing MicroPython apps such as Claude Buddy. Also refresh installed apps or check the display, speaker, buttons, and connected components.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a newly connected M5Stack device
• Refresh apps without reflashing firmware
• Check the display, speaker, and buttons

Support authorized hardware security research by locating debug interfaces, recording pin assignments and voltage levels, and collecting boot logs. Assess interface locks and firmware extraction options, then hand extracted images to firmware analysis tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Locate UART, JTAG, and SWD debug interfaces
• Collect and document boot logs
• Assess secure boot and encrypted flash

Practice a chosen law subject with a fixed number of multiple-choice questions, essay prompts, or flashcards. Get explanations after each answer, record results, and use weak-topic patterns to guide the next study recommendations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Practicing ten questions on a chosen law subject
• Working through a fixed set of essay prompts
• Reviewing a subject with flashcards

Use to flash a promoted BSP image to a Jetson DUT in RCM mode via flash.sh or l4t_initrd_flash.sh. Do NOT use for BSP customization, image promotion, or carrier derivation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Set up an ESP32-S3/C6 sensing node for RuView by choosing firmware, checking and flashing binaries, and configuring WiFi and capture settings. Use boot logs to confirm CSI, measurements of the WiFi channel, is being captured.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing firmware for an ESP32 board
• Flashing firmware after checksum verification
• Configuring WiFi, channels, and MAC filters

RuView 센서 노드를 가동하도록 ESP32-S3와 ESP32-C6의 펌웨어 빌드·기록, WiFi 설정, 수신 확인을 안내하고 CSI 데이터 미수신 원인을 살펴봅니다.

• RuView 실물 장치를 처음 설정합니다
• 8 MB·4 MB 보드에 다시 기록합니다
• WiFi와 수신 서버 연결을 설정합니다

Generate short videos with audio from prompts and reference images, then refine them through conversational edits. The skill covers targeted object, lighting, and text changes, plus timed actions, using Gemini Omni Flash through documented video tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating short videos with sound from written prompts
• Assigning reference images to characters, products, or styles
• Refining objects, lighting, and text through conversation

Use DashScope to generate images, turn text into narration, and transcribe audio with timing for each word. The skill guides API setup and output handling for preparing video images, voice tracks, and subtitle material.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate images for a video
• Turn a script into narration
• Transcribe audio with word timings for subtitles

Fix white flashes and blending problems between scenes in HyperFrames videos. This skill explains background setup, overlapping scene containers, final-frame holds, and timeline templates so transitions render with the intended appearance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fixing white flashes between dark scenes
• Checking opacity dips during crossfades
• Assembling the master timeline

Develop and update MicroPython apps on an already provisioned Cardputer-Adv. Add apps to its launcher, transfer individual changed files without reflashing, inspect serial logs, and run a single command through the device’s interactive Python console.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add a small app to the device launcher
• Transfer a changed Python file without reflashing
• Watch device logs while checking behavior

Guide multi-step coding tasks with deepseek-v4-pro or deepseek-v4-flash in thinking mode. Verify files and symbols, write plans with confirmed file paths and line numbers, and use a verifier agent before changes spanning three or more files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify that files and functions exist before editing
• Write plans with confirmed file paths and line numbers
• Check assumptions before changes spanning three or more files

Generate videos from text or images, edit existing clips, and extend scenes with Gemini Omni 1.1 Flash. Includes scripts for preparing source footage, regenerating audio, refining previous results, and processing multiple video jobs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate a short video from text or a still image
• Create a transition between two images
• Change a video's style or regenerate its audio

Otimiza atenção em transformers com Flash Attention para ganho de 2-4x em velocidade e redução de 10-20x em memória. Use ao treinar/executar transformers com sequências longas (>512 tokens), ao encontrar problemas de memória GPU com atenção, ou quando precisa de inferência mais rápida. Suporta SDPA nativo do PyTorch, biblioteca flash-attn, H100 FP8 e sliding window attention.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

외울 사실을 질문과 답변 카드로 만들고 응답에 따라 복습 간격을 정합니다. YouTube 영상 퀴즈, 분야별 모음 관리, CSV 가져오기와 내보내기를 지원하며 카드는 로컬에 저장합니다.

• 외울 사실을 질문과 답변 카드로 저장
• 복습 날짜가 된 카드로 학습
• YouTube 영상의 이해도 확인

claude-flow v3의 시작 시간, 검색 속도와 메모리 사용량을 측정해 개선 목표 달성 여부를 검증합니다. 지속적인 성능 감시와 저하 감지, 최적화 방안 검토도 지원합니다.

• v3 최적화 전후의 성능을 비교합니다
• 검색 속도와 메모리 사용량을 평가합니다
• 지속적으로 성능 저하를 감지합니다