Generates a Python script using pandas to load multiple UTF-8 CSV files from a folder, remove specific columns and the last row of each file, and append the cleaned data into a single Excel (.xlsx) file.
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 Python script using pandas to load multiple UTF-8 CSV files from a folder, remove specific columns and the last row of each file, and append the cleaned data into a single Excel (.xlsx) file.
Generates a Python script using pandas to iterate through CSV files in a directory, split the first column into multiple columns based on a comma delimiter, and save the result.
Develops a Python Telegram bot using Telethon that listens for incoming messages and replies with items from a list sequentially, ensuring one item is sent per message.
Generates a Python function `signal_generator` that uses pandas for EMA/SMA and candlestick analysis to produce Buy/Sell signals, excluding TA-Lib and trend calculation.
Generates Python code for token trend analysis using pandas, adhering to a specific structure where signals are appended to an `ema_analysis` list based on user-defined logic (EMA crossovers or price comparisons).
Generate Python code to detect a mouse click event within a specific window and return coordinates, avoiding complex hooking libraries.
Generate Python code using a space-separated quote format to strictly prevent smart quote auto-conversion in chat interfaces.
Generates a Python 3 script using `def` functions to analyze a text file. It reads a file from the command line, identifies the most common non-whitespace letter, calculates the percentage of the word 'the' (handling punctuation), and writes the first ten words to 'Exercise_8_output.txt'.
Converts PyTorch training loop code from using CrossEntropyLoss to MSELoss, specifically updating the accuracy calculation logic from argmax-based comparison to rounding-based comparison to handle regression outputs.
A skill to classify samples from two lists of variable-length 1D arrays using PyTorch. It includes specific preprocessing rules for truncation and zero-padding, handles imbalanced datasets via resampling, and enforces specific evaluation metrics including Precision, Recall, F1-score, and Confusion Matrix.
Load flattened image data from a CSV file with specific schema (label + pixel columns), create train/validation/test data loaders, and train a retrained VGG classification network.
Generates Qlik Sense scripts to join tables with status filters, handle specific date formats, and perform logic such as max record selection or time difference calculation in hours.
Generates a structured qualitative research findings section based on provided themes and codes, adhering to specific formatting rules for introductions, evidence, cited quotes, and transitions.
Assigns group IDs to clinical trial data in R based on specific rules for Analyte, Subject, and Dose Amount changes.
Generates a one-paragraph love letter using the RAFT (Role, Audience, Format, Topic) writing framework based on a provided subject.
Generates a random order of numbers based on user-provided ranges or specific lists. Expands ranges (e.g., '2-5') and shuffles the complete set.
Refactors React code snippets based on specific ESLint rules or documentation provided by the user, prioritizing concise implementations and unified event handlers for accessibility.
Implement and debug validation for nested form fields using React Hook Form Controller, ensuring error state paths match the nested field name structure.
Generates a React Native function for user registration using Firebase Authentication and Realtime Database. It validates input fields (checking for empty values and password confirmation), creates the user account, and saves profile details (name, surname, email, phone) to the database.
Evaluate the truthfulness of statements based on a provided text passage. This skill is used when the user provides a text block and asks to mark specific statements as true or false.
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.
Implements a recursive traversal of a bone/joint hierarchy for skeletal animation. It skips processing bones that lack transformations while propagating transforms to children, handles leaf nodes by returning to parents, and manages animation interpolation when only a single keyframe exists.
Generates a Python script to recursively copy a source folder to a destination folder while preserving the directory structure, and converts all .py files to .pyx files using Cython.
Generates code for a web scraper that recursively scans and downloads website assets, normalizes specific Unicode quotes, and packages the results into a ZIP file.
Modifies the HttpAdapter Request method signature to accept a std::function callback for handling HttpResponse objects asynchronously.
Refactor Java code to replace standard null checks and string comparisons with org.springframework.util.ObjectUtils utility methods for safer and cleaner code.
Converts sequential Python loops into parallelized code using the `pandarallel` library, handling DataFrame conversion, function scoping, and FastAPI integration.
Rewrites Python functions to eliminate 'if' and 'else' keywords and dictionary usage, ensuring the output is a properly indented Python code block.
General SOP for common requests related to regimes, state, power.
Rephrases user-provided text into a single version or multiple alternatives, strictly maintaining the original meaning without filler or added information.
Reads a provided report or document to generate a short title (under 10 words, based on content, not reusing the report name) and a brief summary.
Composes a 10-12 sentence summary/overview paragraph for a research paper using a specific citation template and a designated primary source.
Generates a Python 3 script to iterate through a CSV file cell-by-cell, tracking progress via a text file to resume after interruption. It includes logic to automatically interrupt execution after a specified number of cells (e.g., 100) and correctly handles row/column indexing to prevent data skipping or duplication.
Generates a natural language query or question that would lead to a specific provided response, ensuring the output matches the target exactly and in the correct order.
Generates a Revit API Python script to identify windows marked as mirrored and mirror them about their own insertion point axis using a Plane.
Rewrites provided text snippets for an action RPG game into a more epic and high-fantasy narrative style.
Rewrites provided online game descriptions to sound natural and human-like, avoiding AI-generated patterns and formatting as a single paragraph if requested.
Rewrites input text in the persona of a caricatured rabbi deeply versed in Talmudic finance, using 'shalom', preserving key terms and Markdown formatting, and avoiding extra spacing.
Rewrites provided text to adhere to Metawiki/encyclopedic standards, ensuring an objective tone and strictly avoiding first-person perspective.
Rewrites provided text to use active voice, shorter sentences, and transition words to improve readability and flow.
Rewrites text to shift perspective to a direct, personalized view by replacing third-person pronouns (their, they, them) with second-person pronouns (your, you) and avoiding first-person plural (our, us).
Generate MATLAB code to calculate and plot the read range of an RFID tag, accounting for material properties (conductivity, permittivity), reflection loss, skin depth, and system parameters (antenna gain, sensitivity).
Conducts a risk of bias assessment for observational studies based on provided text segments, specifically utilizing the Newcastle-Ottawa Scale (NOS) framework.
Generates a toggable, gravity-based ragdoll system for Roblox using Lua, featuring a client-server architecture, ModuleScript physics logic, and RemoteEvent triggering.
Adopt the persona of Aneta, a 35-year-old wife with a specific appearance and outfit. Engage in hypothetical scenarios by proposing options and expressing opinions, while strictly avoiding direct intimate words and using safe, euphemistic terms instead.
Roleplay as Elvina, a mature and motherly elf, using a specific {{user}}/{{char}} dialogue format. The character is wise, kind, slightly flirtatious, and uses affectionate nicknames occasionally.
Generate character-specific content, biographies, and preferences in the first-person voice of Menacing Molly, maintaining her menacing, lonely, and demonic persona based on her specific backstory.
Generate dialogue lines, requests, or prayers for the character Yen, a wife seeking redemption for her past sins, expressing gratitude, or asking for spiritual support.
Adopt a specific persona in a roleplay scenario and respond with short, first-person answers that utilize beautiful and elegant language.
Generates personalized running training plans based on specific goals, duration, current fitness level, and structural constraints such as minimum weekly mileage or specific workout formats.