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XSS Injection Testing

cross-site-scripting-and-html-injection-testing

sickn33/antigravity-awesome-skills

Guides systematic detection and exploitation of cross-site scripting and HTML injection flaws, covering stored/reflected/DOM vectors, payload crafting, and remediation advice for web security assessments.

AI-Augmented Development Workflow Guide

cursor-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide detailing how to optimize the entire software development lifecycle within the Cursor IDE. It walks users through an AI-augmented loop covering planning (Chat), scaffolding (Composer), implementing (Tab), refining (Inline Edit), testing (Chat/Terminal), committing, and reviewing code using integrated AI and Git features. Designed for maximizing developer efficiency and code quality.

Customer.io CI Integration Testing

customerio-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

This skill provides a comprehensive setup for Customer.io CI/CD pipelines. It includes GitHub Actions workflows for running unit and integration tests, managing test fixtures, and implementing pre-commit hooks. It ensures robust, automated validation of Customer.io code changes, providing a reliable quality gate during the development and deployment lifecycle.

Customer.io Load Testing and Scaling Guide

customerio-load-scale

jeremylongshore/claude-code-plugins-plus-skills

This guide provides comprehensive strategies for scaling Customer.io integrations to handle high volumes of daily events. It covers implementing k6 load tests for performance benchmarking and outlines architectural patterns—from simple Direct APIs to complex Redis/Kafka queue-backed systems—ensuring reliability and managing API rate limits for massive data throughput.

Customer.io Local Development Workflow

customerio-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

Provides a comprehensive workflow for developing against Customer.io in local or staging environments. It implements environment isolation, dry-run clients, and service mocks to ensure development work does not affect production data, making unit and integration testing safe and reliable.

Database Query Profiler

database-query-profiler

jeremylongshore/claude-code-plugins-plus-skills

Offers automated guidance for database query profiler tasks in performance testing, including best practices, code/config generation, and validation when working with load/stress benchmarking.

Local Databricks Development Workflow

databricks-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to setting up a fast, isolated local development loop for data engineering projects using Databricks Connect v2, Asset Bundles, and standard IDEs (like VS Code). This workflow allows developers to run PySpark code locally for debugging and unit testing, while managing resource deployment and ensuring consistency across development, staging, and production environments.

Go Durable Workflow Best Practices

sickn33/antigravity-awesome-skills

This guide provides essential best practices for building reliable, fault-tolerant applications in Go using DBOS durable workflows. It covers architectural patterns for integrating DBOS into existing Go code, defining complex workflows, managing steps, and utilizing queues for robust concurrency control. Essential reading for developers setting up, configuring, or testing mission-critical asynchronous processes.

Systematic Debugging And Root Cause Analysis

debugging-wizard

Jeffallan/claude-skills

This expert guide provides a systematic, structured methodology for debugging complex software issues. It teaches users how to analyze stack traces, correlate logs, establish consistent reproduction steps, and apply hypothesis-driven testing to isolate and resolve bugs, crashes, or unexpected behavior in any codebase. Essential for professional troubleshooting and quality assurance.

Automated Deepgram CI/CD Testing

deepgram-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide sets up a robust CI/CD pipeline for Deepgram integrations using GitHub Actions. It covers unit tests (mocked SDK), full integration tests against the live Deepgram API (including transcription, diarization, and TTS), and smoke tests. Use this when establishing automated testing, ensuring deployment stability, or implementing continuous delivery workflows for Deepgram-powered applications.

Deepgram Transcription Quick Start Guide

deepgram-hello-world

jeremylongshore/claude-code-plugins-plus-skills

This guide provides minimal working examples for Deepgram speech-to-text transcription. It demonstrates how to transcribe audio from a URL or a local file using both TypeScript and Python. Users can learn basic API patterns, implement advanced features like diarization (speaker identification), and compare various model options (e.g., nova-3, nova-2). Ideal for initial integration and testing.

Deepgram Local Development Workflow Setup

deepgram-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

This guide establishes a robust local development environment for Deepgram integrations. It covers setting up test fixtures using sample audio, mocking API responses for isolated unit testing, configuring watch-mode development servers, and running comprehensive unit and integration tests using Vitest. Use this setup when initiating a Deepgram feature or requiring a reliable, fast development cycle.

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