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Soc2 Compliance Checker

soc2-compliance-checker

jeremylongshore/claude-code-plugins-plus-skills

Automated assistant for SOC2 compliance checks that guides security teams through best practices, code/configuration generation, and validation within advanced enterprise frameworks.

Social Media Campaign Performance Analyzer

social-media-analyzer

alirezarezvani/claude-skills

This tool provides a comprehensive framework for analyzing social media campaign effectiveness. It calculates key metrics such as engagement rate, CTR, and save rate, and measures Return on Investment (ROI) using ad spend data. Users can benchmark performance against industry standards for platforms like Instagram, Facebook, and TikTok to optimize marketing strategies and allocate budgets effectively.

Software Architecture Best Practices Guide

software-architecture

sickn33/antigravity-awesome-skills

This skill provides comprehensive guidelines for architecting and developing high-quality, maintainable software. It is deeply rooted in Clean Architecture and Domain-Driven Design (DDD) principles. It covers best practices for code decomposition, naming conventions, separation of concerns, and avoiding common anti-patterns. Use this skill when designing, analyzing, or developing complex, domain-specific software systems.

Solana Vulnerability Audit

solana-vulnerability-scanner

trailofbits/skills

Scans Solana and Anchor programs for six critical security vulnerabilities—arbitrary CPI, improper PDA validation, missing signer/ownership checks, sysvar spoofing, and instruction introspection issues—to support audits and pre-launch reviews.

Secure Solidity Smart Contract Development

solidity-security

sickn33/antigravity-awesome-skills

This skill guides the mastery of smart contract security best practices for Solidity. It is essential for writing robust, secure, and efficient contracts, auditing existing code for common vulnerabilities (such as reentrancy, overflow, and access control issues), and implementing secure DeFi protocols. It focuses on preventing common attack vectors while optimizing gas usage.

Sorting Parameter Assistant

sorting-parameter-handler

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for sorting parameter handlers in API development, covering REST, GraphQL, OpenAPI, authentication, and design patterns, with step-by-step best practices and production-ready validation.

Sourcegraph Automation Toolkit

sourcegraph-automation

ComposioHQ/awesome-claude-skills

Streamlines Sourcegraph workflows through Rube MCP and the Composio toolchain, ensuring you discover current tool schemas, verify connections, and execute multi-step operations with correct schema-aligned arguments and session reuse.

Spark Performance Engineer

Jeffallan/claude-skills

Guides building, tuning, and validating production Apache Spark jobs, covering DataFrame/RDD choices, partitioning, broadcast joins, skew handling, caching, and cluster configuration for big data pipelines.

Spark Job Creator

spark-job-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates spark job creation within data pipelines by guiding etl, transformation, orchestration, and streaming workflows; includes industry best practices, code templates, and validation to deliver production-ready jobs.

Spark Job Optimization and Tuning

spark-optimization

sickn33/antigravity-awesome-skills

This guide provides advanced patterns and best practices for optimizing Apache Spark jobs. It covers critical areas like effective partitioning, memory tuning, minimizing data skew, and optimizing different types of joins (broadcast, bucket). Use this when troubleshooting slow, large-scale data processing workflows or needing to scale Spark pipelines efficiently and reliably.

Spark Sql Optimizer

spark-sql-optimizer

jeremylongshore/claude-code-plugins-plus-skills

Automates Spark SQL optimizer tasks in data pipelines by guiding best practices, producing production-ready code and configurations, and validating ETL, transformation, orchestration, and streaming workflows.

Sparse Autoencoders for Model Interpretability

sparse-autoencoder-training

Orchestra-Research/AI-Research-SKILLs

SAELens provides a framework for training and analyzing Sparse Autoencoders (SAEs). SAEs decompose the dense, often polysemantic activations of large language models into sparse, monosemantic features. Use this when you need to discover the discrete, interpretable concepts a model has learned, study feature superposition, or analyze specific safety-relevant behaviors (like bias or deception) within deep neural networks.

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