ffsshhttiikk/opencode-agents-skills - Page 10

science-communication

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

technical-writing

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

user-experience-design

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

internationalization

Internationalization (i18n) best practices and implementation

ios

iOS mobile development

cryptography-security

Cryptographic security implementation

cryptography

Cryptography fundamentals and implementation

csharp

C# programming language best practices and patterns

css-frameworks

CSS frameworks for rapid UI development

css

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

access-control

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

api-security

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

application-security

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

audit-and-compliance

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

cloud-security

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

container-security

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

cryptography

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

identity-management

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

incident-response-and-forensics

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

mobile-security

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

secure-coding

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

security-automation

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

security-testing

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

threat-modeling

Systematic identification and prioritization of security threats to design effective countermeasures

zero-trust-architecture

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

data-analysis

Design patterns and architectural approaches for Data Analysis

data-engineering

Expert-level knowledge and advanced techniques for Data Engineering

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.

data-visualization

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

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.

exploratory-data-analysis

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

feature-engineering

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

numpy

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

pandas

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

scikit-learn

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

statistics

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

time-series

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

data-structures

Practical application and coding skills for Data Structures

data-visualization

Data visualization techniques

data-wrangling

Data wrangling and transformation