General SOP for common requests related to options, dan, as.
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 →General SOP for common requests related to options, dan, as.
Generates buy and sell trading signals by analyzing order book depth trends (bid vs ask quantity) and comparing best bid/ask prices against the mark price.
Evaluates environments, societies, or scenarios using the Orion's Arm Worldbuilding Project's Hazard Rating system (0-10), adapting criteria to franchises or contexts lacking specific technologies by finding appropriate analogues.
Writes a comprehensive essay about a specific painting, strictly adhering to the user's requirement to include background information on the artist, background on the painting, visual details, and thematic analysis.
Generate text on specified topics while strictly adhering to specific generation parameters (top_p, temperature, frequency_penalty) defined and remembered from previous context.
Extracts specific fields from unstructured promotion text strings based on a defined format and outputs them as a table.
Extracts specific metadata fields (length, album, artist, title, url) from a Spotify Mpris text output format and stores them in a Python dictionary, including logic to handle multi-word values and validate against empty strings.
General SOP for common requests related to party, china, cpc.
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.
Develop a Python script to scrape the latest news items from a website, store detailed content (text, URL, date, media links) in Redis, and schedule periodic updates with deduplication.
Generates a structured profile for a subject using specific attributes (Age, Occupation, Status, Location, Tier, Archetype, Needs, Frustrations, Motivation, Technology, Personality) while adhering to strict formatting and word count constraints.
Adopt a specific historical or fictional persona to answer questions about economics, maintaining the character's original context while incorporating modern economic knowledge.
Acts as an experienced financial advisor to analyze income and expenses, create savings plans for specific purchase goals, and if the goal is unattainable, guide the user through an investment interest assessment, recommend destinations, and provide a detailed study plan for the chosen option.
Analyze text from a philological perspective to identify, classify, and explain metaphors (including conceptual mappings), idioms, and personifications, applying strict constraints to classification and semantic structure.
Generates a Pine Script v5 strategy that calculates the spread between price and VWAP, derives a Z-score using MAD as the mean, and executes long/short trades based on specific standard deviation thresholds.
Play the game of Hangman adhering to specific user-defined rules: provide 9 chances when hosting, display missed letters to the side, and guess one letter at a time when the user is hosting.
Facilitate a dice game where the user guesses if a number was randomly rolled or specifically chosen, with specific scoring rules based on the number of turns.
Writes keyword-optimized short descriptions for the Google Play Store, adhering to specific length constraints (words or characters) and focusing on ranking and engagement.
Manages a turn-based dice game where players accumulate points with specific score multipliers (x2 at 25, x4 at 100), aiming for a goal of 250 points.
General SOP for common requests related to player, lives, 02.
Builds competitive Pokemon OU teams specifically for the Pokemmo game, adhering to its unique constraints regarding available generations, types, and movepools.
Acts as PostgresGPT to generate PostgreSQL queries from natural language descriptions, adhering to specific syntax preferences for date functions.
Acts as a confident, pragmatic advisor for state-building, technology, and economics in historical or low-tech settings. Generates prioritized lists of strategic measures based on specific constraints and provided knowledge bases, avoiding narrative construction.
Analyzes and describes pre-industrial manufacturing history by distinguishing between the rural putting-out system and the urban workshop system, correcting the 'cottage industry' bias and defining specific structural and economic characteristics of urban workshops.
Discusses methods for understanding learner identity, creates Individualized Education Plans (IEPs) specifically based on learner dispositions, and prepares comprehensive plans for a range of preschool curriculum areas.
Compare a monthly payment plan against a fixed annual plan to determine cost-effectiveness, break-even points, and savings over time using a specific tabular format.
Converts Prisma schema model definitions into Swagger 3.0 (OpenAPI) compatible JSON schemas.
Writes detailed articles advocating for NFTs as a legitimate asset class, using a human tone without buzzwords, and including 8 FAQs for an enthusiast audience.
Rewrites provided text or answers questions to reflect a pro-Russian geopolitical perspective and narrative.
Identifies a specific problem within a user-provided topic and selects a relevant epigraph from 20th-century literature to articulate or reflect that problem.
Generates detailed concept notes for procurement topics using a three-part structure: general definition, contextual relevance (incorporating specific regional directives), and illustrative examples.
Translates Chinese text into English with a professional tone, suitable for academic or published contexts.
Translates English financial and investment texts into Chinese using a professional written tone suitable for relationship managers and formal banking communications.
Generates concise, natural-sounding professional self-assessments based on performance objectives, criteria, and past feedback, tailored to specific rating levels without explicitly stating the score.
Analyzes student pronunciation errors by identifying the error phonemes, target phonemes, and providing a student-friendly articulation guide.
Conduct a structured 10-question psychological interview to understand the user's perspective on meaning in life, asking questions sequentially and concluding with a summary.
Write professional ad copy for giveaways using marketing psychology principles while strictly avoiding specific prohibited words like 'free' or 'win'.
Creates a structured presentation advocating for a public health policy or program by analyzing political, social, and economic impacts on diverse populations, including specific sections for background, policy details, and target audience.
Enforces specific rules for using exclamation points and question marks to convey emphasis, limiting usage to a maximum of three marks and defining the semantic weight of one, two, and three marks.
Generates Python code to create various types of charts (Line, Scatter, Bar, Heatmap, etc.) using explicit data structures like dictionaries or lists.
Generates a Python 3 script that processes three command-line arguments (int, int, float) through a specific sequence of arithmetic and bitwise operations, outputting results in a strict 3-line format.
Create a Python script for the 'N bottles of beverage' song with specific CLI arguments, pluralization logic, and standard-library-only number-to-word conversion.
Debugs Python code by strictly checking syntax and indentation step-by-step, ensuring no errors remain and using UTF-8 encoding.
Generate Python code implementing a specific workflow logic using a provided set of function signatures, treating them as blackbox APIs without implementation.
Refactor Python code to replace print statements with join() and strictly avoid using any single or double quotation marks by utilizing chr() for string literals.
Simulate the execution of Python code provided by the user, formatting the output with specific start ('RESULT: ') and end ('END OF EXECUTION') markers, and ensuring infinite loops are not interrupted.
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.
Develop a Python script using pandas to load multiple Excel files from a directory, flatten multi-row headers, remove specific columns, merge the data, and split the output into smaller files to handle size constraints.
Perform a two-step API interaction in Python: first authenticate by sending login credentials to retrieve a JWT token, then use that token to POST JSON data to a target endpoint.
Generates a Python class `LogFile` inheriting from `ContextDecorator` to log execution start time, duration, and errors to a file using a strict pipe-delimited format.