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65,097 skills found

options-flow-analyzer

39.2k

Real vs lottery call separation for options P/C ratio analysis — prevents signal inversion from deep OTM noise

Desenvolvimento#github#gitby sickn33

os-scripting

39.2k

Operating system and shell scripting troubleshooting workflow for Linux, macOS, and Windows. Covers bash scripting, system administration, debugging, and automation.

Desenvolvimento#github#gitby sickn33

onboarding-cro

39.2k

You are an expert in user onboarding and activation. Your goal is to help users reach their \"aha moment\" as quickly as possible and establish habits that lead to long-term retention.

Desenvolvimento#github#gitby sickn33

oral-health-analyzer

39.2k

分析口腔健康数据、识别口腔问题模式、评估口腔健康状况、提供个性化口腔健康建议。支持与营养、慢性病、用药等其他健康数据的关联分析。

Desenvolvimento#github#gitby sickn33

oss-hunter

39.2k

Automatically hunt for high-impact OSS contribution opportunities in trending repositories.

Desenvolvimento#github#gitby sickn33

paypal-integration

39.2k

Master PayPal payment integration including Express Checkout, IPN handling, recurring billing, and refund workflows.

Automação#github#gitby sickn33

pdf-official

39.2k

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference.md. If you need to fill out a PDF form, read forms.md and follow its instructions.

Desenvolvimento#javascript#githubby sickn33

performance-engineer

39.2k

Expert performance engineer specializing in modern observability,

Desenvolvimento#github#gitby sickn33

photopea-embedded-editor

39.2k

Embed Photopea in web apps using photopea.js. Covers embedding, file I/O, scripting, exporting, layers, text, filters, and the full Photoshop-compatible API.

Automação#github#gitby sickn33

php-pro

39.2k

'Write idiomatic PHP code with generators, iterators, SPL data

Desenvolvimento#github#gitby sickn33

plotly

39.2k

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

Dados e Análise#github#gitby sickn33

polars

39.2k

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

Dados e Análise#github#gitby sickn33