Skill UI

A comprehensive guide for developing robust, Unix-native Command Line Interfaces (CLIs) using Go. It details best practices for command structure, flag handling, configuration layering (Viper), and argument validation using Cobra. Learn how to build, extend, and review professional-grade Go tools that behave predictably in shell environments.

A comprehensive guide and toolset for Go code quality assurance using `golangci-lint`. It enables developers to run multiple linters in parallel, configure best practices via `.golangci.yml`, automate fixes, and interpret complex lint output. Ideal for maintaining code standards, setting up CI/CD pipelines, and cleaning up legacy codebases.

This skill guides users through advanced security auditing and best practices for Golang development. It acts as a senior security engineer, focusing on defense in depth by analyzing critical areas like injection patterns, cryptography, secrets management, and authorization flaws. It supports full codebase audits (using STRIDE and DREAD scoring) and precise PR vulnerability reviews, ensuring secure and resilient Go applications.

A comprehensive guide for systematically diagnosing and fixing bugs, crashes, deadlocks, and performance issues in Go code. It covers debugging methodology, utilizing tools like Delve and pprof, detecting race conditions, and following the Golden Rules to find the root cause, ensuring robust and reliable Go development practices.

Describes how to use the MemOS local memory toolkit to recall past conversations, search shared histories, and choose the right memory tool when automatic recall is insufficient.

A comprehensive guide on using the nacos-cli tool to discover, install, update, merge, and publish AI skills stored in a Nacos registry. It covers key commands for listing, getting, uploading, reviewing, and releasing skills, ensuring version-aware publishing workflows for personal and team use.

This guide details the OpenViking long-term memory plugin, which enhances conversational AI by automatically capturing key facts and preferences from past interactions. It utilizes auto-capture modes (semantic or keyword) to store memories and automatically recalls relevant context before generating a response, ensuring continuity and personalization across long conversations. Provides tools for retrieval, manual storage, and memory deletion.

A comprehensive workflow for the full lifecycle management of AI skills. This tool guides users through creating skills from scratch, modifying existing ones, and rigorously benchmarking performance. It supports iterative refinement, quantitative evaluation, and optimizing skill descriptions for maximum triggering accuracy.

This skill enables the generation of high-quality, cinematic videos using a highly structured prompt format (JSON). Users define detailed cinematic elements—including background, characters, camera movements, dialogue, and audio—and can optionally provide a reference image to guide the visual style or content of the final output. It automates the complex AIGC video generation workflow.

Provides step-by-step techniques for assessing AWS security, covering IAM enumeration, privilege escalation, SSRF metadata attacks, S3/Lambda exploitation, and red-team persistence workflows with recommended tools and commands.

Guides learners through reconnaissance, scanning, vulnerability analysis, exploitation, and reporting phases of authorized penetration testing, pairing command examples with tool choices and professional deliverables.

Covers comprehensive HTML injection attack scenarios, detection tips, and tooling so security testers can validate and document injection points, phishing overlays, and reflected or stored payloads during vulnerability assessments.