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Data Eng.

ETL pipelines and big data infrastructure.

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data-engineering
304

stable-diffusion-hardware-requirements-summary

Summarizes the hardware requirements for Stable Diffusion, emphasizing GPU VRAM over system specs, providing specific VRAM ranges for resolutions and upscaling, and detailing optimization techniques for low-memory systems.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

tensorflow-mirroredstrategy-inference-with-transformers

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.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

jay-chou-style-abc-generation

Generates songs in Jay Chou's modern R&B style with specific musical constraints (key, capo, language) and outputs them in strict ABC notation with A/B structures and repeats.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

leipzig-interlinear-glossing-tables

Generates Leipzig-style interlinear morpheme glosses formatted as Markdown tables, ensuring high morphological detail and strict adherence to column-breaking rules.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

ride-share-extended-schema-and-kpi-design

Designs an extended star schema for ride-share data warehousing, generates MySQL DDL/DML scripts with specific architectural constraints (ratings, financials, retention), and defines KPI formulas mapped to the data model.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

stable-diffusion-hardware-requirements-consultant

Provides comprehensive hardware requirements and VRAM estimates for Stable Diffusion image generation and upscaling, emphasizing GPU focus over system specs and memory monitoring.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

tensorflow-multi-gpu-batch-text-generation

Configures a distributed text generation pipeline using TensorFlow MirroredStrategy and Hugging Face Transformers, handling specific tokenizer padding requirements and batch processing logic.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

imaginal-exposure-session-scaffold

A session-phase workflow for conducting imaginal exposure in PTSD treatment, specifying timing, repetition, SUDS monitoring, and therapist response patterns.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

cbt-i

一个跨会话、阶段递进的CBT-I宏观协议,为中度原发性失眠来访者提供6次结构化咨询的节奏锚点、阶段目标与数据驱动的干预校准机制。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

cbt

在CBT框架下,系统识别来访者典型的焦虑认知模式,聚焦灾难化解释、低估自我、无法忍受身体不适三类核心信念。用于首次评估后形成可操作的认知干预靶点。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

dbt

一个结构化的DBT个案概念化操作流程,用于系统化组织临床信息、确立目标层级并动态调整治疗方案。适用于DBT初筛后进入正式干预阶段的厌食症等情绪调节障碍个案。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

abc

基于理性情绪疗法(REBT)的ABC模型,通过结构化面质技术挑战来访者‘必须’‘应该’类绝对化要求等不合理信念,促使其觉察认知偏差、松动信念固着,并初步调整情绪反应。适用于已识别具体非理性信念且情绪唤起处于中等水平的咨询中段。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

cbt

在CBT初始阶段采集症状频率、强度、情境等多维基线数据,并明确设定后续比较锚点,支撑疗效量化评估与干预调整决策。

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

df-10-dataframe

General SOP for common requests related to df, 10, dataframe.

ECNU-ICALK
ECNU-ICALK
data-ai
open
data-engineering
304

qe-test-execution

Orchestrates test suite execution with parallel sharding, intelligent retry, and real-time reporting across Jest, Vitest, and Playwright. Use when running test suites, optimizing execution time, handling flaky tests, configuring CI test pipelines, or analyzing test run results.

proffesor-for-testing
proffesor-for-testing
data-ai
open
data-engineering
304

wms-testing-patterns

Warehouse Management System testing patterns for inventory operations, pick/pack/ship workflows, wave management, EDI X12/EDIFACT compliance, RF/barcode scanning, and WMS-ERP integration. Use when testing WMS platforms (Blue Yonder, Manhattan, SAP EWM).

proffesor-for-testing
proffesor-for-testing
data-ai
open
data-engineering
304

qcsd-ideation-swarm

QCSD Ideation phase swarm for Quality Criteria sessions using HTSM v6.3, Risk Storming, and Testability analysis before development begins. Uses 5-tier browser cascade: Vibium → agent-browser → Playwright+Stealth → WebFetch → WebSearch-fallback.

proffesor-for-testing
proffesor-for-testing
data-ai
open
data-engineering
304

qe-aqe-v2-v3-migration

Migrate Agentic QE projects from v2 to v3 with zero data loss

proffesor-for-testing
proffesor-for-testing
data-ai
open
data-engineering
304

qe-cicd-pipeline-qe-orchestrator

Orchestrate quality engineering across CI/CD pipeline phases. Use when designing test strategies, planning quality gates, or implementing shift-left/shift-right testing.

proffesor-for-testing
proffesor-for-testing
data-ai
open
data-engineering
304

qe-stream-chain

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

proffesor-for-testing
proffesor-for-testing
data-ai
open
data-engineering
304

qe-test-execution

Parallel test execution orchestration with intelligent scheduling, retry logic, and comprehensive result aggregation.

proffesor-for-testing
proffesor-for-testing
data-ai
open
data-engineering
304

qe-wms-testing-patterns

Warehouse Management System testing patterns for inventory operations, pick/pack/ship workflows, wave management, EDI X12/EDIFACT compliance, RF/barcode scanning, and WMS-ERP integration. Use when testing WMS platforms (Blue Yonder, Manhattan, SAP EWM).

proffesor-for-testing
proffesor-for-testing
data-ai
open
data-engineering
304

spring-boot-jdbc-batch-update-implementation

Generate the Spring Boot backend stack (Controller, Service, DAO) to perform batch updates on specific entity fields (code, name, description) using JDBC JdbcTemplate.

ECNU-ICALK
ECNU-ICALK
data-ai
open
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