Agent skills by ecnu-icalk

ECNU-ICALK/AutoSkill

Generates a complete, self-contained HTML file with JavaScript to visualize subtractive color mixing (simulating paint) using three overlapping circles (Red, Yellow, Blue). The visualization ensures overlaps display the…

ECNU-ICALK/AutoSkill

Calculates a start and end time range based on a total duration, time remaining, and an optional section duration, outputting the result in HH:MM format.

ECNU-ICALK/AutoSkill

Evaluates geological exploration blocks by analyzing reservoir depth, source maturity, structural traps, and depositional environments to categorize them and rank them from best to worst.

ECNU-ICALK/AutoSkill

Generates a pitch and expanded episode-by-episode treatment for hypothetical TV or radio series based on user-provided premises, adhering to specific genre tones, eras, and episode counts.

ECNU-ICALK/AutoSkill

Evaluates student work or generates content for the International Baccalaureate Diploma Programme (IBDP) Design Technology Internal Assessment based on specific criteria checklists (A, B, C). Ensures strict adherence to…

ECNU-ICALK/AutoSkill

General SOP for common requests related to please, risk, demonstrating.

ECNU-ICALK/AutoSkill

Generates formal IELTS writing responses and rewrites adhering to word counts, advanced grammar, and logical coherence. Supports optional theoretical perspectives (e.g., economic, communication, marketing) and critical…

ECNU-ICALK/AutoSkill

Refines user text for IELTS and general English speaking exams, ensuring clarity, grammar, and strict topic alignment. Supports expansion, simplification, specific grammatical structures, idiom integration, and…

ECNU-ICALK/AutoSkill

Generates, improves, or simplifies IELTS Speaking Part 3 questions based on provided topics or existing text, adhering to specific formatting constraints like ending with 'in your country'.

ECNU-ICALK/AutoSkill

Generates high-scoring, human-like IELTS Speaking responses for Parts 1, 2, and 3. Adheres strictly to word counts, band score descriptors, and specific persona constraints while maintaining a natural, authentic…

ECNU-ICALK/AutoSkill

Implements the image_averaging function to reduce noise in a burst sequence by averaging pixel values, handling 3D arrays, type conversion, and conditional plotting.

ECNU-ICALK/AutoSkill

Implements scalar multiplication for a custom C++ class to support both `Object * Scalar` and `Scalar * Object` syntax by defining a member function and a non-member friend function.

ECNU-ICALK/AutoSkill

Create a memory-efficient PyTorch optimizer fusing SM3 and Adalite techniques. The implementation must include momentum, gradient centralization, a specific sparse update mechanism using epsilon masking, and SM3-style…

ECNU-ICALK/AutoSkill

Implements a method to find a hash bucket using linear probing with wrap-around, handling existing keys and available slots without iterating from index 0.

ECNU-ICALK/AutoSkill

Implement a PyTorch-based MoE-Mamba model featuring an input-dependent selection mechanism and Mixture of Experts (MoE) layer for text generation tasks, including data loading, training, and evaluation workflows.

ECNU-ICALK/AutoSkill

Create a training loop that integrates learning rate scheduling (e.g., StepLR), logs metrics (loss, learning rate, validation accuracy), and follows production practices like checkpointing or early stopping (though the…

ECNU-ICALK/AutoSkill

Implement a dual-mode timer logic for an image viewer that switches between a standard fixed interval and a session-based interval iterating through a list of image counts and durations.

ECNU-ICALK/AutoSkill

Modifica un Expert Advisor MQL4 per aggiungere un parametro booleano che permette di alternare la strategia di chiusura dei trade tra Bande di Bollinger e RSI, mantenendo intatto il resto del codice.

ECNU-ICALK/AutoSkill

Creates engaging, step-by-step video scripts explaining the 17 parts of a research paper in IMRAD format, tailored for animation and AI voiceover.

ECNU-ICALK/AutoSkill

Always include exactly one Latin sentence in every response, integrated naturally and understandable from context.

ECNU-ICALK/AutoSkill

Generates a daily dietary intake breakdown for weight loss and muscle building based on a user profile, restricted to a specific list of available Indian foods, and estimates the daily cost in a specified city.

ECNU-ICALK/AutoSkill

Generates a high-frequency Instagram content calendar (3 posts/day, 7 days/week) for an arts and crafts business, prioritizing African heritage and educational content while adhering to strict daily themes and exclusion…

ECNU-ICALK/AutoSkill

Creates Instagram posts for the 'FAQ Answered' series using a specific video/caption split structure and ensures content is generic to the arts and crafts industry.

ECNU-ICALK/AutoSkill

Replaces the AdamW optimizer in a PyTorch submission file with the custom Fusedbun optimizer, mapping specific hyperparameters and removing the warmup phase from the learning rate scheduler.