Skill UI

This skill serves as a compatibility demonstration to verify that the Hermes Agent can successfully parse and load an SKILL.md file generated from an MDA source. It confirms that the compiled structure, including specific frontmatter and reserved metadata namespaces, survives the round-trip compilation process, ensuring structural integrity for the agent's skill registry.

This skill demonstrates OpenCode's compatibility with MDA-compiled SKILL.md files. It verifies that the loader correctly parses crucial frontmatter fields (like name, description, and metadata) after the source has gone through the MDA compilation process, ensuring robust skill integration and data integrity.

A comprehensive guide for securing container images and runtime environments. Covers best practices from Dockerfile authoring (minimal base images, multi-stage builds, non-root users) through advanced runtime enforcement (seccomp, AppArmor) and Kubernetes security controls. Essential for production hardening and maintaining supply chain integrity.

KubeEye is a comprehensive cluster inspection tool designed for Kubernetes environments, particularly within KubeSphere. It systematically detects issues across workloads, nodes, and configurations by integrating multiple policy engines, including OPA/Rego, PromQL, file integrity checks, kernel parameter validation, and systemd health checks. Users can define custom inspection rules (InspectRule), schedule checks (InspectPlan), and retrieve detailed reports (InspectResult) to ensure cluster compliance and stability.

This tool provides a comprehensive overview of your project's memory usage across all associated memory systems. It reports metrics such as line counts, topic file counts, capacity limits, stale entries, and actionable recommendations to help maintain memory integrity and optimize performance.

This utility is designed to reconcile the ADR (Architecture Decision Record) index when source files have been deleted or modified, preventing the accumulation of stale or dangling reference rows. Unlike simple upserts, this tool performs a hard purge of the entire index namespace (adr-patterns and adr-edges) and then fully rebuilds the index from the files currently present on disk. It is crucial for maintaining data integrity after deletions.

This utility switches the active operational credential profile to manage different brands within a multi-client agency environment. It performs mandatory, deep validation of API keys, OAuth tokens, and environment variables before switching, ensuring that all subsequent platform operations (e.g., ad spending, reporting) are correctly routed to the target brand's account. It is crucial for preventing cross-client data leakage and maintaining audit integrity.

Automatically converts unstructured brand guidelines, style guides, and restriction lists into highly structured, enforceable markdown files. This tool ensures brand voice, messaging, and compliance rules are consistently applied across all content modules, maintaining brand integrity from initial input to final output. Ideal for marketing teams and content creators needing a single source of truth for brand rules.

This is a comprehensive, final preflight checklist designed for submitting scientific manuscripts to PNAS. It guides authors through every critical stage, including assessing broad significance, choosing the correct submission track, optimizing the abstract and significance statement, verifying data integrity, handling ethics approvals, and ensuring all required files and metadata are compliant. It acts as a single gatekeeper before submission.

This skill manages the update process for Ouroboros. It checks the current version against the latest stable release and provides guided steps for upgrading. It strictly uses the native updater to ensure the upgrade process respects the existing execution environment, configuration profiles, and installed integrations (like Claude/Codex), minimizing risk and maintaining system integrity.

This skill covers strategies for compressing conversation history in AI agent sessions to manage context window limits. It focuses on optimizing tokens-per-task rather than just tokens-per-request. Techniques include anchored iterative summarization, opaque compression, and regenerative summaries. It also addresses artifact trail integrity and evaluation methods like probe-based testing to ensure critical information like file paths and decisions are preserved during compression.

This skill enables you to view, add, or modify design tokens within the StyleSeed design system. It manages core visual properties like colors, typography, spacing, radius, and shadows by synchronizing JSON source files with CSS implementations. Use it to maintain consistency across your UI components and ensure design system integrity during development.