Skill UI

Generates professional documentation for software projects, covering READMEs, API references, architecture guides, inline comments, and changelogs, adapting style and scope to the codebase and user request.

Guides structured reviews for Flutter/Dart pull or merge requests, checking correctness, security, style, tests, and documentation while verifying branch scope and CI health.

Provides comprehensive guidelines on using Go's `context.Context` for managing request lifecycles. Learn how to correctly propagate cancellation signals, enforce deadlines, handle timeouts, and safely pass request-scoped values across API boundaries (HTTP handlers, services, databases). Essential reading for writing resilient and robust concurrent Go applications.

OpenViking Code Repository Search exposes `ov` terminal commands for scoped semantic, keyword, and glob searches across viking:// resources, lets you read directory summaries/files, and manage indexed repositories (add/remove) with documented error handling.

This meta-skill set provides a structured framework covering the entire software development lifecycle (SDLC). It guides developers through every phase, from initial concept refinement and requirement specification to incremental implementation, testing, code review, and deployment. It enforces critical professional behaviors like surfacing assumptions, managing ambiguity, and maintaining scope discipline to ensure high-quality, robust engineering outcomes.

This tool generates highly standardized and ultra-compressed commit messages following the Conventional Commits specification. It ensures that commits are concise, professional, and adhere to strict formats (e.g., type(scope): summary). It intelligently generates a body only when the context (like breaking changes or complex reasoning) requires it, significantly reducing noise and maintaining a clean, clear project history.

This tool generates a comprehensive context map of a codebase before making any modifications. It guides developers to systematically analyze all relevant files, dependencies, existing tests, and common patterns. Use it to assess the full scope of a task, identify potential breaking changes, and ensure a robust and stable development cycle.

This workflow guides developers through generating standardized, descriptive commit messages using the Conventional Commits specification. It provides a structured XML template (including type, scope, description, body, and footer) and integrates directly into the Git workflow, ensuring project history is clean, traceable, and machine-readable. Ideal for maintaining large, collaborative codebases.

This is an expert guide for writing, debugging, and validating complex expressions within n8n workflows. It covers core variables such as $json, $node, $now, and $env, detailing how to correctly access nested data from current nodes, previous nodes, and webhook payloads. Learn best practices for handling data structures, managing variable scopes, and avoiding common syntax errors to ensure reliable workflow automation.

Describes how to analyze a repository, prioritize key docs, and author an llms.txt entry so LLMs immediately understand the project scope, documentation clusters, and configuration artifacts they should consult.

Intelligently executes git commit by adhering to the Conventional Commits specification. The tool analyzes the staged or working directory diff to automatically detect the change type (e.g., feat, fix, docs), the affected scope, and generates a standardized, semantic commit message. This ensures your project history remains clean, readable, and compliant with best development practices. Ideal for maintaining robust version control.

Use terminal commands to discover, list, create, edit, move, copy, enable/disable, and delete AI agent skills across 11 tools, handling format conversions and scope overrides between global and project configurations.