ffsshhttiikk/opencode-agents-skills - Seite 10

science-communication

Translating complex scientific concepts into accessible, engaging narratives for diverse audiences

Quellsprache: Englisch

technical-writing

Creating clear, accurate, and usable documentation for technical products, APIs, and systems

Quellsprache: Englisch

user-experience-design

Holistic approach to creating products that provide meaningful, relevant, and delightful experiences for users

Quellsprache: Englisch

internationalization

Internationalization (i18n) best practices and implementation

Quellsprache: Englisch

ios

iOS mobile development

Quellsprache: Englisch

cryptography-security

Cryptographic security implementation

Quellsprache: Englisch

cryptography

Cryptography fundamentals and implementation

Quellsprache: Englisch

csharp

C# programming language best practices and patterns

Quellsprache: Englisch

css-frameworks

CSS frameworks for rapid UI development

Quellsprache: Englisch

css

CSS styling for web pages including selectors, flexbox, grid, and animations

Quellsprache: Englisch

access-control

Implementing authorization models including RBAC, ABAC, and policy-based access control

Quellsprache: Englisch

api-security

Securing REST, GraphQL, and gRPC APIs against abuse, injection, broken authentication, and data exposure

Quellsprache: Englisch

application-security

Securing applications through design, development, and deployment practices to prevent vulnerabilities and protect against attacks

Quellsprache: Englisch

audit-and-compliance

Security audit logging, compliance frameworks, and evidence collection for regulatory requirements

Quellsprache: Englisch

cloud-security

Securing cloud infrastructure, services, and workloads across AWS, GCP, and Azure environments

Quellsprache: Englisch

container-security

Securing container images, runtimes, and orchestration platforms against vulnerabilities and misconfigurations

Quellsprache: Englisch

cryptography

Applied cryptography for data protection including encryption, hashing, digital signatures, and key management

Quellsprache: Englisch

identity-management

Managing digital identities including authentication, SSO, federation, and identity lifecycle management

Quellsprache: Englisch

incident-response-and-forensics

Detecting, responding to, and investigating security incidents with forensic analysis techniques

Quellsprache: Englisch

mobile-security

Securing mobile applications on iOS and Android platforms against reverse engineering, data leakage, and runtime attacks

Quellsprache: Englisch

secure-coding

Writing code that is resilient to attacks through defensive programming patterns and vulnerability prevention

Quellsprache: Englisch

security-automation

Automating security scanning, compliance checks, incident response, and remediation workflows

Quellsprache: Englisch

security-testing

Techniques and tools for testing application and infrastructure security including penetration testing, fuzzing, and vulnerability assessment

Quellsprache: Englisch

threat-modeling

Systematic identification and prioritization of security threats to design effective countermeasures

Quellsprache: Englisch

zero-trust-architecture

Implementing zero trust security models that verify every request regardless of network location

Quellsprache: Englisch

data-analysis

Design patterns and architectural approaches for Data Analysis

Quellsprache: Englisch

data-engineering

Expert-level knowledge and advanced techniques for Data Engineering

Quellsprache: Englisch

big-data

Techniques and frameworks for processing large-scale datasets that exceed the capacity of traditional database systems, including distributed computing, parallel processing, and scalable data pipelines.

Quellsprache: Englisch

data-visualization

Data visualization principles and tools for creating charts, graphs, and interactive dashboards to communicate insights from data effectively.

Quellsprache: Englisch

etl-pipelines

Extract, Transform, Load (ETL) pipeline design and implementation for moving data from source systems, transforming it to meet requirements, and loading it into target systems for analysis.

Quellsprache: Englisch

exploratory-data-analysis

Initial data investigation techniques to discover patterns, spot anomalies, test hypotheses, and check assumptions using summary statistics and visualization.

Quellsprache: Englisch

feature-engineering

Techniques for creating, transforming, and selecting features to improve machine learning model performance, including encoding, scaling, dimensionality reduction, and automated feature generation.

Quellsprache: Englisch

numpy

Numerical computing library providing support for large, multi-dimensional arrays, mathematical functions, linear algebra, random number generation, and Fourier transforms.

Quellsprache: Englisch

pandas

Data manipulation and analysis library providing data structures and tools for cleaning, transforming, aggregating, and analyzing tabular data.

Quellsprache: Englisch

scikit-learn

Machine learning library providing simple and efficient tools for predictive data analysis including classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.

Quellsprache: Englisch

statistics

Statistical analysis fundamentals including descriptive statistics, hypothesis testing, regression analysis, ANOVA, and probability distributions for data analysis.

Quellsprache: Englisch

time-series

Time series analysis techniques for analyzing and forecasting temporal data, including decomposition, smoothing, ARIMA models, and deep learning approaches.

Quellsprache: Englisch

data-structures

Practical application and coding skills for Data Structures

Quellsprache: Englisch

data-visualization

Data visualization techniques

Quellsprache: Englisch

data-wrangling

Data wrangling and transformation

Quellsprache: Englisch