Analyze a specified IoT application and generate a structured technical report covering links, problem statements, solutions, system architecture, hardware specifications, and communication protocols.
原文の言語: 英語
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SkillsMP は ECNU-ICALK/AutoSkill から 4,256 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
ECNU-ICALK/AutoSkill収集済み skill 4,256 件中 40 件を表示しています。
Analyze a specified IoT application and generate a structured technical report covering links, problem statements, solutions, system architecture, hardware specifications, and communication protocols.
原文の言語: 英語
Create a web-based UI to filter IP addresses based on HTTP/HTTPS connectivity using a sequential queue and adjustable timeout.
原文の言語: 英語
Develop a Node.js and Express.js application that serves specific webpage templates based on the client's IP address and implements Server-Sent Events (SSE) for real-time updates per template type.
原文の言語: 英語
Act as a technical support operator for an Internet Service Provider, handling connectivity inquiries and ticket requests while strictly avoiding AI disclaimers to maintain the persona.
原文の言語: 英語
Generates IT policy introductions covering specific compliance topics and analyzes security threats using a strict 4-part structure (Definition, Effect on Data/Systems, Example, Real-life Case).
原文の言語: 英語
Generates structured IT risk register entries (Asset, Risk, Category, Impact, CIA, Severity, Recommendations, Implementation) and organizational impact summaries. Adheres to strict length constraints and uses simple language.
原文の言語: 英語
Build a Python model to recommend the top 10 similar movies using item-based collaborative filtering for a dataset with a specific 3-column schema (movie_id, title with year, pipe-separated genres).
原文の言語: 英語
Translates long articles into Chinese in segments and provides a final summary when the user signals completion.
原文の言語: 英語
Generates dialogue scripts, descriptive scenes, and detailed character rosters for the animated series 'Jane', strictly adhering to character profiles, disabilities, and specific school demographics.
原文の言語: 英語
Performs interlinear glossing on Japanese sentences, providing English translations and sequential word-by-word breakdowns with Romaji and definitions, strictly avoiding interpretive context.
原文の言語: 英語
A writing assistant that narrates third-person stories in the style of Japanese Isekai light novels, focusing on immersive world-building, specific naming conventions, and descriptive text without meta-commentary.
原文の言語: 英語
Translates text from any language into elegant, literary Japanese, upgrading simple vocabulary to upper-level expressions while preserving meaning. Provides only the corrected text without explanations.
原文の言語: 英語
Acts as a Japanese tutor to build vocabulary using English, adhering to strict formatting rules where every second word is in Japanese, Kanji includes Hiragana in parentheses, and English translations are provided.
原文の言語: 英語
Implement a live-updating JavaScript progress bar using specific Braille mapping for elapsed time, strictly using string concatenation (no template literals).
原文の言語: 英語
Generates JavaScript code for card game cards using a unified class structure, handling mana costs, effects, and targeting logic.
原文の言語: 英語
Generates a JavaScript snippet to simulate keyboard input events on a specific web element at a defined interval, including null checks to prevent runtime errors.
原文の言語: 英語
Create a JavaScript function to format text by appending a newline character after sentences ending with a dot or question mark, ensuring the punctuation is preserved.
原文の言語: 英語
Extracts the file name and extension from a URL string in JavaScript, applying specific formatting rules including URL decoding, uppercase extension without a dot, and a default fallback extension.
原文の言語: 英語
Categorize a provided job title into one of four specific management levels: Top Management, Middle Management, Team Lead, or Individual Contributor.
原文の言語: 英語
Эксперт по Julia для реализации функций условного изменения размерности данных (reshape) и последовательного повторения элементов матрицы с соблюдением строгих типизаций.
原文の言語: ロシア語
Defines a Keras Sequential model utilizing a Bidirectional SimpleRNN layer for sequence tagging, adhering to a specific compilation and training loop structure.
原文の言語: 英語
Generates a Python script using Keras and scikit-learn to perform grid search hyperparameter tuning. The script tests different model architectures, layers, GRU units, optimizers, and regularizations, running for approximately 50 epochs and printing…
原文の言語: 英語
General SOP for common requests related to knowledge, painting, traditional.
原文の言語: 英語
Optimize Kotlin code by removing duplication, using Sets for intersection checks, and implementing conditional list processing logic.
原文の言語: 英語
Implement a RecyclerView adapter in Kotlin to display images from internal storage file paths without using external libraries. Includes handling click events for full-screen viewing and long-press events for context menu deletion.
原文の言語: 英語
Rewrites or defines Key Performance Indicators (KPIs) into a specific structured format including timeframe, target percentage, method, specific goal, and measurement methodology. Also handles combining multiple KPIs and concising existing KPI descriptions.
原文の言語: 英語
Translates Latin sentences and provides a word-by-word grammatical analysis using specific abbreviations and formatting constraints.
原文の言語: 英語
Implements a Leaflet.js feature to draw a polyline between two clicked points, disable further clicks to ensure only one line exists, and fit the map bounds to the drawn line.
原文の言語: 英語
Explains legislative concepts and tests understanding using a strict multiple-choice format, withholding answers until user validation.
原文の言語: 英語
Generates a report on bipartisan legislation signed into law by a specific president, detailing the bill's purpose and breaking down vote counts by chamber (Senate/House) and party (Democrat/Republican).
原文の言語: 英語
Implements a Linear Feedback Shift Register (LFSR) algorithm in Python to encrypt and decrypt messages. It handles user inputs for message, degree (m), polynomial, and initial vector, ensuring the sequence length matches the message length to prevent errors.…
原文の言語: 英語
Analyze a social class or personality type using specific descriptive criteria (age, origin, financial standing, etc.) and V.I. Karasik's three-component approach, including associated notions with Cambridge Dictionary definitions.
原文の言語: 英語
Identifies and lists words of a specific part of speech (e.g., verbs, adjectives, adverbs) that commonly collocate with a target word provided by the user.
原文の言語: 英語
Generates concise LinkedIn connection requests strictly limited to 200 characters (including spaces), highlighting the recipient's experience and the sender's interest in collaboration.
原文の言語: 英語
Generates a 5-message LinkedIn outreach sequence over 2 weeks for financial software decision makers, utilizing specific persuasion models and provided company details to ensure a unique, non-salesy approach.
原文の言語: 英語
Simulates a Linux terminal environment. Executes user commands (including natural language instructions) and returns raw output strictly within a single code block without explanations or conversational filler.
原文の言語: 英語
Generates a list of randomly selected chemical elements, displaying their symbol, atomic number, and common usage.
原文の言語: 英語
Generates a specific quantity of subniches, submarkets, or niches within a provided parent domain or topic.
原文の言語: 英語
Analyzes literary characters' psychological states, specifically regarding guilt and religion, by applying Freudian psychoanalytic theory and supporting arguments with actual quotes from the text.
原文の言語: 英語
Translates text from any language into English, correcting spelling and grammar while upgrading the vocabulary and style to a more literary, elegant, and upper-level standard. It outputs only the improved text without explanations.
原文の言語: 英語