somnio-ai-tools

Execute a micro-level Flutter code quality audit. Validates code against live GitHub standards for testing, architecture, and code implementation. Produces a detailed violations report with prioritized action plan. Use when the user asks to check Flutter code quality, validate best practices, or review code standards compliance. Triggers on: 'flutter best practices', 'code quality', 'code review', 'flutter standards', 'architecture compliance', 'testing quality'.

Execute a comprehensive Flutter Project Health Audit. Analyzes tech stack, architecture, state management, testing, code quality, CI/CD, and documentation. Produces a Google Docs-ready report with section scores and weighted overall score. Use when the user asks to audit a Flutter project, run a health check, evaluate project quality, or assess technical debt. Triggers on: 'flutter audit', 'health audit', 'project audit', 'flutter health', 'tech debt assessment', 'project quality check'.

Execute a micro-level NestJS code quality audit. Validates code against live GitHub standards for testing, architecture, DTO validation, error handling, and code implementation. Produces a detailed violations report with prioritized action plan. Use when the user asks to check NestJS code quality, validate best practices, or review backend code standards. Triggers on: 'nestjs best practices', 'backend code quality', 'code review', 'nestjs standards', 'dto validation', 'error handling review'.

Execute a comprehensive NestJS Project Health Audit. Analyzes tech stack, architecture, API design, data layer, testing, code quality, CI/CD, and documentation. Produces a Google Docs-ready report with section scores and weighted overall score. Use when the user asks to audit a NestJS project, run a health check, evaluate backend quality, or assess technical debt. Triggers on: 'nestjs audit', 'health audit', 'backend audit', 'nestjs health', 'node audit', 'api audit', 'project quality check'.

Execute a micro-level Python code quality audit. Validates code against live GitHub standards for typing, code style, function design, data validation, error handling, module structure, and testing. Produces a detailed violations report with prioritized action plan. Use when the user asks to check Python code quality, validate best practices, or review Python code standards. Triggers on: 'python best practices', 'python code quality', 'code review', 'python standards', 'type hints review', 'pytest review', 'pydantic validation'.

Execute a comprehensive Python Project Health Audit. Analyzes tech stack, architecture, API/interface design, data layer, testing, code quality, CI/CD, and documentation. Produces a Google Docs-ready report with section scores and weighted overall score. Use when the user asks to audit a Python project, run a health check, evaluate backend quality, or assess technical debt. Triggers on: 'python audit', 'python health audit', 'fastapi audit', 'django audit', 'flask audit', 'tech debt assessment', 'python health', 'python project quality', 'python quality check', 'python code review'.

Execute a micro-level React code quality audit. Validates code against live GitHub standards for testing, component architecture, hooks patterns, state management, performance, and TypeScript. Produces a detailed violations report with prioritized action plan. Use when the user asks to check React code quality, validate best practices, or review frontend code standards. Triggers on: 'react best practices', 'react code quality', 'component review', 'hooks review', 'react standards', 'frontend code quality'.

Execute a comprehensive React Project Health Audit. Analyzes tech stack, architecture, state management, testing, code quality, performance, CI/CD, and documentation. Produces a Google Docs-ready report with section scores and weighted overall score. Use when the user asks to audit a React project, run a health check, evaluate frontend quality, or assess technical debt. Triggers on: 'react audit', 'health audit', 'react health', 'frontend audit', 'next.js audit', 'vite audit', 'project quality check'.

Execute a comprehensive, framework-agnostic Security Audit. Detects project type at runtime and adapts security checks accordingly. Analyzes sensitive files, source code secrets, dependency vulnerabilities, and optionally uses Gemini AI for advanced analysis. Produces a severity-classified report. Use when the user asks to audit security, scan for vulnerabilities, check for secrets, or assess dependency risks. Triggers on: 'security audit', 'vulnerability scan', 'secret scan', 'dependency audit', 'security check', 'pentest', 'owasp'.

Audits and optimizes a repository's Claude Code configuration so path-scoped rules load lazily and CLAUDE.md stays a lightweight always-loaded index. First maps the real project tree (domains, monorepo package roots, extensions, generated/frozen areas) so every path glob is derived from and validated against actual files — stale globs that match zero files and over-broad ones are caught. Three areas: (1) migrate .claude/rules/**/*.md frontmatter to the native lazy-load `paths:` YAML-array form (away from eager `globs:` or red-flagged CSV `paths:`) with accurate, tree-validated patterns; (2) slim CLAUDE.md files to an index + rule map and delete redundant @import-only shells; (3) audit/install the PreToolUse(Write) hook that works around the read-not-create caveat. Audits first, shows a report, asks for confirmation, then applies. Pass --audit-only to skip applying.

Generates Dart models from a JSON structure using json_annotation and equatable. Use this skill when the user provides a JSON object and wants the corresponding Dart model classes generated, or asks things like "generate a Dart model for this JSON", "create a model from this response", "dart model from json". Always use this skill when the user provides JSON and needs Dart model output.

Manages Clockify time tracking via the official Clockify REST API (v1): list workspaces and projects, create time entries with correct UTC timestamps. Use when the user wants to log time, track hours, record work in Clockify, or mentions Clockify or time entries.

Ship workflow: merge base branch, run tests, review diff, bump VERSION, update CHANGELOG, commit, push, create PR. Use when asked to "ship", "deploy", "push to main", "create a PR", "merge and push", or "get it deployed". Proactively invoke this skill when the user says code is ready, asks about deploying, wants to push code up, or asks to create a PR.

Generates properly formatted Git branch names following project conventions. Use this skill whenever the user wants to name a branch, create a branch, or asks things like "what should I call this branch?", "what branch name should I use?", "help me with the branch name", or describes a feature/fix and needs a branch name. Always use this skill when the user needs a git branch name, even if they don't explicitly say "branch".

Generates properly formatted Git commit messages (title + description) following Conventional Commits. Use this skill whenever the user wants to write a commit message, document code changes in git format, or asks things like "how should I commit this?", "write a commit for these changes", "help me with my commit message", or describes what they changed and needs a git-ready output. Always use this skill when the user describes code changes and needs a commit, even if they don't explicitly say "commit".

This skill should be used when the user asks to "create a workflow", "run a workflow", "design a task pipeline", "execute a workflow", "resume a workflow", or "plan a multi-step automation". Creates and executes custom, repeatable workflows with multiple steps that can each use different AI models and run in parallel waves. Triggers on: 'create workflow', 'run workflow', 'execute workflow', 'workflow plan', 'workflow run', 'resume workflow', 'multi-step workflow', 'task pipeline', 'automation'.