Skill UI

Detects container escape attempts at runtime by monitoring namespace manipulation, capability abuse, kernel exploits, sensitive mounts, and anomalous syscalls. Explains which signals matter for Falco, Sysdig, auditd, or EDR collection. Use when investigating suspected Docker/Kubernetes breakouts or comparing runtime sensor coverage.

Demonstrates the SKILL.md layout and frontmatter options for creating a user-invoked slash command, outlining argument parsing, tool usage, and documentation so developers can replicate the structure.

Formats Markdown into Slack-ready HTML or mrkdwn, previews the Slack-style rendering, copies rich HTML to the clipboard, and optionally delivers announcements via webhooks for messages and notifications.

Hookify rules enable developers to define custom, event-driven workflows using Markdown files with YAML frontmatter. These rules monitor specific operational events (such as bash commands, file edits, or user prompts) and can trigger warnings or block operations when predefined regex patterns are matched. They are essential for enforcing coding standards, preventing dangerous operations, and guiding development adherence in complex software environments.

A placeholder skill entry that explains the lack of a YAML frontmatter, useful for tracking or validation workflows that detect missing metadata.

Detects when a skill's frontmatter block lacks its closing delimiter so editors can fix the metadata formatting before parsing fails.

A comprehensive toolkit for building robust, structured logging pipelines in Golang. It provides advanced modules for handler composition (slog-multi), throughput control (slog-sampling), attribute transformation (slog-formatter), and integrates with major backend logging sinks (e.g., Sentry, Loki, Datadog, Elasticsearch). Use this when building complex Go applications that require deterministic log routing, sampling, and data sanitization.

Creates and edits Obsidian Flavored Markdown, covering frontmatter, wikilinks, embeds, callouts, math, diagrams, and other vault-specific syntax so notes render correctly when working in Obsidian or referencing its features.

This comprehensive guide provides a detailed framework for authoring effective and structured SKILL.md files for AI coding agents. It covers best practices for structuring content, including frontmatter fields, defining natural language triggers, establishing core principles, and incorporating advanced elements like decision trees and verification checklists, ensuring agents receive clear, actionable, and consistent technical guidance.

Generates an AI-ready Architectural Decision Record template with precise sections, coded bullet conventions, front-matter metadata, and sequential storage under /docs/adr to keep decision documentation structured for both machines and people.

Refines prompt files by analyzing prior successful patterns, improving structure, wording, and clarity while preserving the original intent and markdown front matter.

A comprehensive meta-skill template designed for developers to scaffold, structure, and define specialized Agent Skills for AI platforms like GitHub Copilot. It guides users through mandatory requirements, including folder naming conventions, YAML frontmatter best practices (name, description), and structuring the skill body with detailed workflows and documentation sections. Use this when building complex, specialized AI capabilities.