'sha' 검색 결과

Use this skill when wiring the DOCA SHA Offload Engine (an OpenSSL ENGINE) into an existing OpenSSL pipeline to offload one-shot SHA-1, SHA-256, or SHA-512 (EVP_Digest) onto DOCA SHA hardware without rewriting against doca-sha. Covers engine load mechanics (`openssl engine dynamic`, `set_pci_addr` ctrl, `-engine_impl`), the SHA-224 negative test that proves offload engaged, the message-size window where offload beats CPU SHA, and engine-vs-library selection. Trigger even when the user does not say "DOCA SHA Offload Engine" or "OpenSSL ENGINE" — typical implicit phrasings: "speed up openssl SHA on BlueField", "offload SHA without code changes", "is openssl using the accelerator or falling back to software", "prove DOCA SHA actually ran", "openssl dgst hashed but I'm not sure it was offloaded". Refuse and route elsewhere for new SHA pipelines (use doca-sha), MD5 / SHA-3 / SHA-224 / HMAC-SHA offload, incremental hashing via chained `EVP_DigestUpdate`, or OpenSSL PROVIDER authoring.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when access must reach past the record owner's role hierarchy. Trigger keywords: sharing rule, criteria-based sharing rule, owner-based sharing rule, sharing rule recalculation, guest user sharing rule, share with a public group, SharingRules metadata. NOT for org-wide defaults - use admin/sharing-and-visibility. NOT for programmatic shares - use apex/apex-managed-sharing. NOT for subtracting access - use admin/restriction-rules.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when the user is doing hands-on DOCA SHA programming — offloading SHA-1, SHA-256, or SHA-512 hashing onto a BlueField DPU or ConnectX accelerator, picking between one-shot `doca_sha_task_hash` and incremental `doca_sha_task_partial_hash`, querying `doca_sha_cap_*` for algorithm support and min destination / max source buffer sizes, setting source / destination `doca_mmap` permissions, or decoding DOCA_ERROR_* returns from the SHA API. Trigger even when the user does not explicitly mention "DOCA SHA" or "doca_sha_task" — typical implicit phrasings include "hash a multi-GiB file on the DPU", "offload SHA-256 to the BlueField", "streaming hash over chunks", "partial hash returns BAD_STATE", "destination buffer too small for digest", or "is SHA-512 available on this card". Refuse and route elsewhere for general cryptographic-hash theory (collision resistance, SHA-3 selection), other DOCA crypto libraries (AES-GCM, Compress, DMA), or DOCA install / BFB bring-up — those belong to other skills.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use Wireshark and tshark to capture and inspect network packets, the small units of network communication. Investigate suspicious connections and protocol problems, extract transferred files, and export evidence and summaries for incident investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected intrusions or data leaks
• Diagnosing retransmissions and DNS failures
• Checking traffic against firewall and IDS rules

JavaScript와 TypeScript에서 Ethereum 해시를 구현하고 점검합니다. Keccak-256과 SHA3의 혼동으로 생기는 함수 식별자, 서명, 주소 계산 오류를 방지합니다.

• 함수 선택자와 이벤트 식별 정보 계산
• 서명과 저장 위치의 해시 처리 점검
• 공개 키에서 주소 계산

Automate Ayrshare operations through Rube MCP and Composio. The skill guides an agent through finding available tools, checking the account connection, and executing tasks with the current input requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding tools for an Ayrshare task
• Checking the Ayrshare connection before execution
• Running multiple operations in one workflow

Automate Ayrshare operations through Rube MCP and Composio. The skill guides an agent through finding available tools, checking the account connection, and executing tasks with the current input requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding tools for an Ayrshare task
• Checking the Ayrshare connection before execution
• Running multiple operations in one workflow

Build complex interactive artifacts for claude.ai with React, Tailwind CSS, and shadcn/ui. Start from a configured project, develop interfaces with state management or navigation, and bundle the result into one shareable HTML file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building interactive interfaces with multiple components
• Creating artifacts with state management and navigation
• Developing interfaces with shadcn/ui components

Compare a Chinese company's US depositary receipts, Hong Kong shares, and mainland shares after adjusting for exchange rates and share ratios. Analyze pricing gaps, valuation differences, and delisting risks to support research into its different listings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare A-share and H-share pricing gaps
• Measure ADR premiums against Hong Kong shares
• Review US delisting risks and Hong Kong listing alternatives

Nexscope keyword Share of Voice analysis, returning brand visibility share across the first 3 pages of Amazon search results (organic/ad/combined), 30-day exact search volume, median PPC bid, and TOP3 ASIN click and conversion data, covering 10 marketplaces. Trigger when the user mentions brand market share, brand voice share, search result brand distribution, Share of Voice, SOV analysis, brand competitive landscape, ad slot share, organic ranking brand share, PPC bid analysis, brand monopoly analysis, keyword share of voice, brand visibility, organic vs sponsored share, brand dominance, PPC bid analysis, search result brand distribution, competitive landscape, weighted SOV, top ASIN clicks conversions. Even if the user does not explicitly mention "Share of Voice" or "SOV", if their need involves analyzing brand market share or competitive landscape in Amazon keyword search results, this skill should also be triggered.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create shared links for Dropbox files and folders, or inspect existing links to understand their access settings. Confirms the target and sharing plan before creation, then reports the URL, effective settings, and any warnings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a shared link for a Dropbox folder
• Generate a link to share a presentation
• Check access settings on an existing link

Build and maintain interfaces with shadcn/ui components, reusable pieces such as forms, cards, and dialogs. Find suitable components, follow project settings, fix composition and styling issues, and review updates while preserving local changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build settings pages and dashboards
• Fix form and dialog composition
• Update components while preserving local changes

Use whenever the user wants to interact with Figshare - searching public datasets/articles, downloading Figshare files, listing their own articles/collections/projects, creating or updating articles, or uploading files (including large multi-part uploads) via the Figshare v2 REST API. Trigger on mentions of "figshare", figshare DOIs (10.6084/m9.figshare.*), figshare.com URLs, or phrases like "upload my dataset to figshare", "publish to figshare", "get figshare article".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build interface components with shadcn/ui, focusing on clear structure and accessibility so more people can use them. Pair the implementation work with the Stitch design loop to move from design iteration to working components.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building interface components with shadcn/ui
• Implementing components with accessibility in mind
• Pairing component development with Stitch design iterations

Analyze cross-border stock flows between mainland China and Hong Kong through Stock Connect. Compare overseas buying of mainland shares, mainland buying of Hong Kong shares, sector allocations, and price gaps between dual-listed shares.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Track overseas capital moving into and out of Chinese A-shares
• Review mainland investor flows into Hong Kong stocks
• Identify sector shifts in cross-border allocations

Retrieve stock prices, futures quotes, exchange rates, and economic indicators with the free Python library AKShare. The skill explains market-specific functions, symbol formats, and data preparation for analysis and testing strategies against historical data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retrieve historical prices for Chinese, US, and Hong Kong stocks
• Collect Chinese GDP and consumer price data
• Check futures quotes and foreign exchange rates

Add cursor-following water-ripple distortion to existing images using Shaders components. Preserve page content and layout while integrating lazy loading, accessible image fallbacks, and static display when WebGPU is unavailable or reduced motion is enabled.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding cursor ripples to a hero image
• Adding interactive distortion to gallery images
• Replacing a cursor-driven spotlight reveal

Use when choosing between Salesforce record-access mechanisms or reviewing the access model end to end. Trigger keywords: OWD, org-wide defaults, sharingModel, externalSharingModel, record access model, sharing architecture, which sharing mechanism, UserRecordAccess, __Share, RowCause, why can user see too much. NOT for sharing rules - use admin/sharing-rules. NOT for role hierarchy - use admin/role-hierarchy-design.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diagnose and mitigate Salesforce data skew — ownership skew (single user owns >10,000 records) and parent-child skew (>10,000 children under one parent) — that cause sharing recalculation slowness, group membership lock errors, and record-level locking failures. Covers lookup skew and UNABLE_TO_LOCK_ROW, Defer Sharing Calculation (deferGroupMembership / deferSharingRules in Sharing.settings), ownership bucket groups, Controlled by Parent OWD, Bulk API serial vs parallel concurrency for skewed loads, and the documented load ordering for roles, groups and sharing rules. NOT for planning and batching a recalculation job — use data/sharing-recalculation-performance. NOT for designing the sharing model itself — use admin/sharing-and-visibility.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Metal/wgpu/WGSL shader surfaces for native Rust gpui apps (Zed-family, pd-console), stockpiled with beautiful copy-pasteable shader-toy examples. Use for custom GPU fragment passes behind/around gpui panes: ocean/water shaders, pixelated waves and boats, a living harbor, dithered chrome borders, sonar sweeps, aurora/starfields, CRT/scanline post. Trigger on: wgsl, wgpu, metal shader, gpui shader, shadertoy, fragment shader, SDF, noise/fbm, ordered dithering, pixelation, render-to-texture, "pixelated waves and boats", living harbor water. NOT for: web/GLSL/three.js shaders (use a web tool), non-shader gpui motion (use rust-gpui-motion), general GUI layout/color (use beautiful-gui-design), CLI/TUI (use beautiful-cli-design).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when working with Slang shaders, shader modules, HLSL-compatible GPU code, graphics pipelines, compute shaders, tessellation, ray tracing, parameter blocks, generics, interfaces, capabilities, cross-compilation, shader optimization, shader review, or C++ engine integration for Slang. Trigger on any mention of Slang, .slang files, slangc, SPIR-V from Slang, Slang modules, [shader("compute")], [shader("vertex")], or requests to write/review/refactor shader code with modern language features. Also trigger for Slang-to-HLSL/GLSL/Metal/CUDA cross-compile questions, or when the user says "shader" alongside "generics", "interfaces", "parameter blocks", "autodiff", or "capabilities".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create HTML artifacts for claude.ai using React, Tailwind CSS, and shadcn/ui. This skill supports building elaborate interfaces with multiple components, helping turn a web prototype request into a structured, styled artifact.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating an HTML artifact for claude.ai
• Prototyping an interface with multiple components
• Building an artifact with React and shadcn/ui

Build complex claude.ai artifacts with React, Tailwind CSS, and shadcn/ui. Create interfaces with multiple components, state management for changing data, and routing between views, then package the app into one self-contained HTML file for sharing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating interfaces with multiple components
• Building artifacts with changing data and multiple views
• Sharing a React app as a single HTML file

Explain how input features contribute to machine-learning predictions using SHAP. Select an explanation method and reference data, validate contributions against model outputs, and create charts for individual predictions or patterns across samples, including models with multiple outputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explaining the feature contributions behind one prediction
• Visualizing attribution patterns across evaluation samples
• Selecting and explaining a class in a multiclass model