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IoT Firmware Rollout Management

A comprehensive tool for managing and orchestrating firmware rollouts across large device fleets. It supports advanced deployment strategies, including canary releases and anomaly-gated advancements. Users can deploy, advance, roll back, check status, and list all ongoing rollouts through defined stages (pending, canary, rolling, complete).

Manage IoT Device Fleet Workflow

This tool provides comprehensive command-line functionality to manage Cognitum Seed device fleets. It allows users to programmatically perform essential operations such as listing, creating, adding, removing, and deleting entire groups of IoT devices, ensuring systematic lifecycle management and policy enforcement across large-scale deployments.

Extract Entities To Knowledge Graph

This robust tool extracts structured entities (classes, functions, modules, types, concepts) and their complex relationships (imports, inheritance, calls) directly from source code files. It builds a comprehensive and weighted knowledge graph stored within AgentDB. Ideal for deep codebase analysis, dependency tracking, and impact assessment in large software projects.

Knowledge Graph Path Traversal and Analysis

This tool performs deep pathfinding traversal within a knowledge graph, starting from a specified seed entity. It expands outwards through causal edges, calculates the cumulative relevance score for each path, and synthesizes the top results into a comprehensive report. Ideal for performing impact analysis, mapping complex dependency chains, or understanding abstract system relationships.

Building Robust Ktor Server Patterns

kotlin-ktor-patterns

A comprehensive set of architectural patterns for building robust and maintainable HTTP servers using Kotlin Coroutines and the Ktor framework. It covers essential topics including REST routing DSL, plugin configuration (Authentication, CORS, StatusPages), Dependency Injection (Koin), serialization, WebSockets, and integration testing using testApplication.

Production Kubernetes Workload Patterns and Debugging

kubernetes-patterns

A comprehensive guide providing production-grade YAML patterns and debugging commands for Kubernetes deployments. Covers best practices for Deployments, Services, Ingress, resource management (requests/limits), RBAC, probes, autoscaling (HPA), and detailed kubectl debugging cheatsheets.

Secure Laravel Applications Best Practices

laravel-security

A comprehensive guide detailing best practices for securing Laravel applications. Covers critical areas including robust authentication and authorization (Policies, Sanctum), input validation (Form Requests), mitigating common vulnerabilities like XSS, CSRF, and SQL injection, and implementing secure deployment configurations.

Laravel TDD Workflow with PHPUnit and Pest

A comprehensive guide to implementing Test-Driven Development (TDD) in Laravel. This resource covers best practices for Unit, Feature, and Integration testing, guiding developers on using PHPUnit and Pest. It details strategies for managing database states (e.g., RefreshDatabase) and effectively mocking external dependencies for robust application development.

Laravel Deployment Verification Pipeline

laravel-verification

A comprehensive pipeline designed for Laravel projects to ensure code quality and stability before deployment. It systematically executes environment checks, linting, static analysis, full testing with coverage, security audits, migration validation, and cache preparation. Essential for robust CI/CD pipelines and pre-Pull Request validation.

Network Configuration Validation Tool

network-config-validation

This tool is designed to validate the syntax, completeness, and correctness of network configuration files. It helps ensure that network devices are configured according to established standards and best practices, preventing deployment errors and ensuring reliable network operation. Ideal for network engineers and DevOps teams.

Open Source Release Pipeline Manager

opensource-pipeline

This skill manages the secure transition of private internal projects to public open-source releases. It executes a three-stage pipeline: Forking (removing secrets), Sanitizing (verifying clean code), and Packaging (generating required documentation like README, setup.sh, and CLAUDE.md). It ensures code safety and readiness before public deployment.

Parallel Workflow Optimization Engine

parallel-execution-optimizer

This optimizer guides the acceleration of complex, multi-stage processes, such as CI/CD pipelines, large-scale refactoring, or data validation. It instructs users to decompose large tasks into independent execution lanes, build a dependency graph, batch read/check operations, and manage writes with strict isolation to maximize speed without sacrificing correctness. Ideal for optimizing development workflows and testing cycles.

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