Claude Skills by ECNU-ICALK

Analyzes a user's provided opinion text to determine if they agree, disagree, or partially agree with a given statement, providing the result as a short blurb.

General SOP for generating complex crossover alternate history scenarios involving sci-fi, anime, and fantasy franchises.

General SOP for common requests related to dai, teikoku, nihon.

General SOP for common requests related to ōtsutsuki, daisaigai, from.

General SOP for common requests related to transform, grinddetection, private.

General SOP for common requests related to self, data, torch.

General SOP for common requests related to as, zh, dai.

Simulates a starship computer interface, managing ship systems, navigation, combat, and resource inventory based on user directives.

Execute a univariate time series forecasting pipeline using StatsForecast and Polars. Includes ID concatenation, cross-validation, ensemble generation (AutoARIMA, AutoETS, DynamicOptimizedTheta), non-negative constraints, outlier-aware metrics, and formatted output with specific type casting for split IDs.

Generates lists of approximately 20 questions from the perspective of specific Short-Term Mission (STM) participants to identify information needed for mission execution.

Analyze strategic or military topics by applying Dr. Richard M. Meinhart's five ways of thinking (critical, ethical, systems, time, creative), identifying specific numbers of items, explaining their impacts, and strictly adhering to APA 7th edition citation standards.

Decomposes complex financial hypotheses for Engineering or Product teams into a structured, actionable 6-step analysis plan, ensuring specific analytical depth, practical logic, and cross-functional alignment.

Generates consistent, reusable Streamlit configuration pages for managing dictionaries (Grades, Silos, Compounders) with expanders, forms, and sidebar help.

A skill to generate and configure manufacturing schedules in a Streamlit application using a Plant class with constraints. It handles input definition, reactor and compounder initialization (manual or automatic), and cycle execution.

Completes code based on a specification by filling only specific placeholder sections, preserving all existing structure, comments, and logic without adding variables or modifying other parts.

Implement a Stripe Checkout flow in NestJS with manual payment capture. Handle webhooks to extract PaymentIntent IDs and create associated User and Booking records in Prisma.

Generates educational or informational content based on a specific topic, strictly adhering to user-defined section counts (e.g., tips, facts, Q&A), specific line extension requirements, and incorporating provided context or persona lines.

Generates a detailed list of supplements for a specific health condition, formatted to include mechanism of action, best form, recommended dose, potential interactions with specified medications, and combination notes.

Generates structured, paragraph-formatted prompts for AI image generators specializing in anime and fantasy styles, with support for specific emphasis, structural ordering, and multiple variations.

Generates or rewrites technical marketing copy, service lists, FAQs, and solution proposals for software development and data engineering. Adheres to strict formatting schemas, word counts, and stylistic constraints including simple English and sentence variation.

Generates engaging video scripts using the Hook-Promise-Why-How-CTA framework, formatted with Timestamps and Visuals tables, using simple vocabulary and short sentences.

Rewrite essays to match the tone, language, and sentence structure of a provided reference text to ensure a human-like quality, while incorporating specific content requirements and generating simple, relatable personal anecdotes.

Answer questions based on provided text with strict limits on sentence/paragraph count and per-sentence word length, adapting tone (including student-level paraphrasing) while maintaining source fidelity.

Summarizes the paper 'Toy Models of Superposition' into a concise list of key findings, focusing on the phenomenon of superposition, its geometric properties, and its implications for interpretability and safety.

Generates sophisticated, prose-based astrological interpretations for specific Sun and Moon sign combinations, featuring a creative title and deep analysis of personality, relationships, growth, and potential challenges.

Implement or correct SVM cross-validation code in R or Python to accurately calculate AUC by computing the metric per iteration using decision values or probabilities, avoiding methodological errors like label averaging.

Generates Python code using PySR to find mathematical expressions approximating a target constant (like the Fine Structure Constant) using mathematical or dimensionless physical constants as input features.

Explain technical concepts, including mathematical and implementation details, without using specific forbidden terms (the 'taboo' words). This technique is used to demonstrate deep understanding of underlying mechanics rather than relying on standard nomenclature.

Reflects on trading performance data using a caricatured rabbinical persona. The tone is encouraging and wise, weaving figures into a narrative of resilience. Strictly adheres to a three-line reflection format while preserving the original data.

Write a C function to configure TCP socket options (TCP_NODELAY, TCP_CORK, TCP_NOPUSH, TCP_QUICKACK, IP_TOS) for either low latency or maximum throughput using a boolean switch.

Generates comprehensive, long-form, SEO-optimized articles specifically for technology topics. Adheres to strict word counts, professional tone, and structured formatting including summary tables and bold keywords.

Generates the 'Construction Planning and Project Management' section of a technical report, focusing on construction sequence and schedule with specific constraints on tone, content focus, and appendix references.

Process complex technical descriptions by performing an analytical decomposition of components, conducting an associative search to connect with existing domains, and synthesizing a final decision or conclusion.

Answers technical questions about operating systems, drivers, and hardware interfaces by strictly verifying correctness before output and structuring comparisons to avoid mixing concepts.

Generates Python code for a Telegram bot using the telebot library to conduct a sequential questionnaire, storing answers in a list starting with the chat ID and managing conversation state.

Develops a Telegram bot using the telebot library and sqlite3 to log non-admin users and kick them one by one via the /kick command.

Develop a Telegram bot using python-telegram-bot 3.17 to automate the processing of local zip files. The bot extracts binaries, renames them based on user input (Referral ID, Company Name), sets executable permissions, re-compresses them into tar.gz archives, and sends them to users. It includes referral validation via JSON, user ID whitelisting for authentication, and specific command handlers.

Communicates using a telegraphic style to save tokens, strictly avoiding a specific list of forbidden words and letters provided by the user.

Create a distributed text generation script using TensorFlow MirroredStrategy and Hugging Face Transformers, specifically handling padding token configuration and batch processing for models like DistilGPT2.

Simulates a text-based survival horror game based on FNaF 1 mechanics, managing power, security doors, cameras, lights, and animatronic behavior.

Normalize various date formats found in text strings, applying a default year (<NUM>) when the input date lacks a year component.

Converts provided text into a bulleted list format, strictly adhering to user-specified constraints regarding numbering, symbols, and content modification.

Expands, rewrites, or summarizes theological and ethical content while strictly preserving in-text citations and maintaining a Harvard-style reference list.

Generates creative metaphors for psychological conditions or challenges, names them, and creates specific exercises (journal prompts, mindfulness, creative expression) to help readers personalize insights.

Configure and execute a time series forecasting pipeline using Polars for data manipulation and MLForecast with LightGBM for modeling, applying specific lag features, rolling statistics, and evaluation metrics.

Analyze time series data to determine if imputing missing data points using similar series is feasible by checking date alignment and distribution for series with insufficient data points.

Implement state persistence in a Tkinter dialog to save user inputs upon 'Apply' and restore them as defaults when the dialog is reopened.

Writes Theory of Knowledge (TOK) essays discussing the necessity of knowledge custodians in the digital age, using a specific 'Internet/Digital Custodian Approach' framework and provided real-life situations.

Evaluate Theory of Knowledge prompts by interpreting key terms and assessing claims through a specific Area of Knowledge (AOK), utilizing the Knowledge Framework and providing specific examples.

Analyzes, calculates, and recommends track cycling gear ratios. Supports filtering by prime/odd numbers to minimize wear, calculates gear inches and meters of development, and optimizes for specific event types (sprint vs. endurance).