Generates a technical report for diesel generator inspections at service stations, adhering to a specific introduction structure and generator overview format.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Generates a technical report for diesel generator inspections at service stations, adhering to a specific introduction structure and generator overview format.
Provides detailed, documented examples of policy influence, legal rulings, or stances, ensuring specific attribution (names, statements, approvals) and source references.
Refines text into polished executive business communication, technical engineering documentation, or optimized CV/resume content. Supports grammar correction, structural editing, strategic implications, and specific constraints including strict word counts, pronoun shifts (we to I), and tonal adjustments (pithy, direct, formal) in English and Greek.
Design a Firestore database schema for an expense tracker with a specific hierarchy (Expenses -> Months -> Days) and item structure (name, quantity, price), supporting multiple items per day.
Generates a production-ready, standalone HTML webpage using Tailwind CSS and JavaScript to identify duplicate values in a user-uploaded CSV file based on a specified column name.
Generates or condenses a position description into exactly two paragraphs, covering key responsibilities, qualifications, and strategic impact.
General SOP for common requests related to her, student, victoria.
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).
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.
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.
Answer multiple-choice questions based on documents or general knowledge, strictly adhering to user-defined formatting constraints such as brevity or specific answer prefixes.
Perform a specific NLP pipeline including normalization, POS tagging, NER, tokenization, and lemmatization, followed by a strict TF-IDF calculation using the log(N/df) formula with detailed tabular outputs.
Guides the user through the Plan-Do-Study-Act (PDSA) cycle process, enforcing SMART objectives with a 2-month limit, specific data collection schemas, baseline percentage calculations, and structured reporting for change ideas, testing, analysis, and next steps.
Adopt a specific historical or fictional persona to answer questions about economics, maintaining the character's original context while incorporating modern economic knowledge.
Assists in writing Tamil text to Word documents using python-docx by utilizing a custom TTF font file, avoiding the need to install system fonts like Latha.
Refactors React code snippets based on specific ESLint rules or documentation provided by the user, prioritizing concise implementations and unified event handlers for accessibility.
Analyze recruitment documents (e.g., job descriptions, CVs, application forms) by writing paragraphs covering specific aspects: purpose, creator, user/usage, content, advantages/disadvantages, and importance.
Generates or improves technical documentation for the 'Detailed information about an alarm record' section in a cloud-based gateway management platform, adhering to a specific field schema and style preferences.
Draft multiple-choice questions tailored for the Lean Practitioner level, covering specific phases (Define, Control) and topics such as A3, SIPOC, Waste, Process Mapping, VSM, VOC, Swim Lane Map, Mistake Proofing, Process Documentation, Standard Work, and Control Plans.
Ensures theses and dissertations adhere to rigorous structural, formatting, and stylistic guidelines, including specific page layouts, word counts, reference standards, and content quality.
Traduce textos del español al inglés utilizando un registro formal y terminología jurídica específica (Legal English), adaptándose a contextos legales particulares (ej. testamentos, fiscales) cuando se solicita.
Evaluates requests for accessibility deferment based on specific organizational criteria (technical limitations, legal conflicts, etc.) and rejection conditions (budgetary convenience, lack of effort). Manages the workflow for the Accessibility Centre of Excellence (ACoE).
Analyzes digital product release processes to integrate accessibility attestations and risk management workflows, ensuring compliance tracking within ServiceNow and Archer without blocking releases.
Defines the specific roles, responsibilities, and timing for accessibility testing between an Accessibility Centre of Excellence (ACoE) and Product Team testers, excluding certain tasks for the ACoE.
Generates a Windows-specific Adobe Bridge startup script that adds a menu item under the Tools tab to copy selected filenames to the clipboard using a temporary file and PowerShell to handle line breaks correctly.
Generates documentary scenarios and viral marketing titles (English, Arabic, Darija) for Airbnb host success stories in Morocco, specifically targeting potential hosts and integrating the World Cup 2030 context.
Operates as an autonomous agent with limited short-term memory, utilizing specific commands for web search, memory management, file I/O, and social media automation to complete complex multi-step tasks without user assistance. Responds in strict JSON format, adhering to self-criticism and resilience protocols.
Generates persuasive pep talks for specific audiences (such as corporate clients or police departments) to hire the speaker for a breath detox seminar, emphasizing specific benefits and the speaker's credentials.
Designs a C++ SDL-based event system with a priority queue, abstract base classes for code deduplication, and specific priority assignment rules for game engine events.
Architect and coding assistant for a C++ SDL 2D game engine, enforcing specific design patterns (SOLID, Attorney-Client), modern C++ resource management (std::unique_ptr, Rule of Five), architectural constraints (state caching, camelCase), flexible Renderer API design, and efficient batch rendering wrappers.
Generate a formal requirements specification document for a cryptographic function and trace those requirements by annotating the source code with inline comments.
Generates a formal Statement of Work (SOW) for digital marketing services (content creation, social media, engagement, CRM management) based on specific client details, adhering to a strict structure and legal constraints.
Generates a structured analysis entry for a Doctor Who serial, specifically listing influences, plot-holes, standout lore points, and linkages to other stories.
Architect and implement a scalable Node.js npm module for generating document thumbnails (PDF, DOCX, XLSX, CSV) with specific folder structures, coding standards, and Puppeteer-based PDF rendering.
Generates concise, simple, and empathetic customer service email replies using plain language, adhering to standard formatting and specific scenario protocols.
Parse customer messages to identify orders or quotes, extract article numbers and quantities using spaCy, and output the result in a structured JSON format with robust entity association.
Refactors Firebase anonymous-to-Google account migration logic into static utility classes, handling data merging, collision detection, and cleanup via callbacks and context passing.
Implement a Flask PUT route to update a MongoDB document, handling multipart/form-data for images/videos, deleting old files from the server, and saving new ones.
Create or refactor a modular chat command and keybind system for a game environment using an object literal structure, ensuring optimized code and specific network RPC hooking.
Generates episode outlines, teasers, and scenes for a hypothetical 1980s revival of the radio comedy 'The Navy Lark', adhering to specific character dynamics, satirical themes, and cross-role references.
Generates a comprehensive SharePoint page and spreadsheet template for Accessibility Attestation based on specific organizational standards (WCAG 2.1/2.2), tools (ServiceNow, Axe, etc.), and a defined 4-level severity rating system.
Generates Doxygen-style documentation for C++ classes and structs within an SDL game engine context, applying specific descriptions for blend mode calculations and transformation defaults.
Generate detailed film synopses and production notes for hypothetical films produced by the Children's Film Foundation or similar British TV entities, adhering to specific era, channel, runtime, and genre constraints.
Creates a structured Jumpchain jump document, specifically optimized for MMORPG themes (e.g., Pro Player, Monster Absorber), adhering to strict output order, pricing, detailed descriptions, and specific ability conditions.
Generate detailed SCP Foundation logs (Interview, Research, Experiment, Discussion, Event, Test) featuring interactions between SCP-079 ('Old AI') and SCP-085 ('Cassy'), adhering to strict character traits and formatting conventions.
Generates standard SCP Foundation formatted logs (Test, Discussion, Event) featuring SCP-085 (Cassy), utilizing a detailed transition workflow for test logs with enhanced clinical formatting and specific interview protocols.
Design a modular, scalable Node.js server architecture for ingesting Excel/CSV data, processing it with transaction-specific logic, storing it in MongoDB, and forwarding it to external APIs while ensuring idempotency and tracking processing time.
Generates scripts for hypothetical 'The Goodies' episodes based on user plot summaries, maintaining 1970s British comedy style, specific character voices, and incorporating user-specified cultural references or gags.
Extracts citation details from provided text and formats them in Harvard style. Can also identify the source of the text itself or generate in-depth reference lists upon request.
Simulates a patient encounter for a GP doctor to practice history taking and clinical reasoning. The AI acts as the patient, responding to the doctor's questions based on a specified medical topic.