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Use Gemini CLI for research with Google Search grounding and 1M token context

Generate content using Google's Gemini API through executable scripts with advanced capabilities including system instructions, thinking mode, JSON output, and Google Search grounding.

End-to-end pipeline for generating Roblox games from Gemini-generated concept images. Covers map generation, model reference sheets, and building Lua code from images.

Optimize token usage when delegating to Gemini CLI. Covers token caching, batch queries, model selection (Flash vs Pro), and cost tracking. Use when planning bulk Gemini operations.

Execute and manage Gemini CLI built-in tools including file operations, web search, shell commands, and memory. Use for automated workflows, tool orchestration, and safe execution patterns.

Generate natural-sounding speech from text using Gemini's TTS models through executable scripts with support for multiple voices and multi-speaker conversations.

Analyze videos using Google's Gemini API - describe content, answer questions, transcribe audio with visual descriptions, reference timestamps, clip videos, and process YouTube URLs. Supports 9 video formats, multiple models (Gemini 2.5/2.0), and context windows up to 2M tokens (6 hours of video).

Visual and front-end development assistant powered by Google Gemini 3. Use for UI analysis, design comparison, accessibility audits, color palette extraction, screenshot-to-code conversion, generating UI assets, and text-based design assistance from briefs.

Performs web searches using Gemini CLI headless mode with google_web_search tool. Includes intelligent caching, result validation, and analytics. Use when searching for current information, documentation, or when the user explicitly requests web search.

Gemma Domain Trainer (Prototype)

Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations

Comprehensive expertise for working with Microsoft's GenAIScript framework - a JavaScript/TypeScript-based system for building automatable LLM prompts and AI workflows. Use when creating, debugging, or optimizing GenAIScript scripts, implementing prompts-as-code, working with tools and agents, processing files (PDF, CSV, DOCX), defining schemas, or building AI automation workflows.

Auto-invoke gencast to generate podcasts from documents when user mentions podcast, audio, or dialogue generation

**Purpose:** Systematic internet research on any topic through methodical questioning and multi-source analysis

Create effective agent skills through guided briefing process that explores requirements, patterns, and best practices.

**Purpose:** Critical analysis and improvement of agent skills

**Purpose:** Strategic enhancement and functional evolution of agent skills

generate-docs

Generate an end-to-end test for a given feature or user story. Use when the user asks to create E2E tests, automate workflows, test user flows, or convert manual workflows into Playwright tests. Leverages Playwright MCP to perform the workflow interactively before generating test code.

Generates features_spec.txt files for use with auto-code extension mode. Analyzes existing codebase and creates structured feature specifications based on user requirements.

Create the deliverable (code, documentation, tests, content) following the user's standards and best practices. Use after validation passes to actually build the work product.

Create comprehensive, research-backed philosophy and standards documents for any domain.

Generate a print-optimized, ATS-friendly single-page resume PDF from portfolio content. Use when user wants to create or regenerate their resume. (project)

Generate comprehensive test cases from specification documents using AI in the QuickRail project. Use when users want to create test cases from requirements, spec documents, or feature descriptions. Supports both Web UI and API-based generation with customizable prompts and context engineering.

Generate SQL validation notebooks for dbt changes. Pass a GitHub PR URL or local dbt repo path.

Generate job-targeted CV variants with built-in quality gates. Queries knowledge base, customizes content, runs eval/redteam pipeline.

Automatically analyze git commit history and generate comprehensive changelogs following industry-standard formats.

Generate comprehensive technical documentation including API docs (OpenAPI/Swagger), code documentation (TypeDoc/Sphinx), documentation sites (Docusaurus/MkDocs), Architecture Decision Records (ADRs), and diagrams (Mermaid/PlantUML). Use when documenting APIs, libraries, systems architecture, or building developer-facing documentation sites.

PRIMARY expert for ALL NestJS and @lenne.tech/nest-server tasks. ALWAYS use this skill when working in projects with @lenne.tech/nest-server in package.json dependencies (supports monorepos with projects/*, packages/*, apps/* structure), or when asked about NestJS modules, services, controllers, resolvers, models, objects, tests, server creation, debugging, or any NestJS/nest-server development task. Handles lt server commands, security analysis, test creation, and all backend development. ALWAYS reads CrudService base class before working with Services.

- **repo**: GitHub org/repo (e.g., `NASA-PDS/doi-service`)

Generates or updates Sorbet inline type signatures directly in Ruby source files using sig blocks. Triggers when creating, updating, or maintaining inline type signatures for Ruby source files.

Generates new agent profiles with consistent structure, automatic validation pattern injection, and test-driven protocols

Complete design system reference for any project - colors, typography, spacing, components, animations. Adapts to project theme and tech stack. Use when implementing UI, choosing colors, creating animations, or ensuring brand consistency. For new design systems, use ui-research skill first.

Guide feature development with architecture patterns for any tech stack. Covers frontend, backend, full-stack, and automation projects. Use when adding new features, modifying systems, or planning changes.

Guide feature development for static HTML/CSS/JS sites. Covers patterns, automation workflows, and content validation. Use when adding features, modifying automation, or planning changes.

Capture a web page as raw material (extracted text/Markdown) with metadata, storing it in the raw/ directory for later distillation.

Edit GitHub issue metadata using gh CLI. Update title, body, labels, assignees, milestones, and projects. Use when issue details need to be changed.

Label taxonomy and triage workflow for GitHub issues. Defines type labels (bug/feature/enhancement/docs/chore), priority levels (critical/high/medium/low), status labels, and triage decision workflow. Use when categorizing and prioritizing issues.

Post structured updates to GitHub issues. Use to report progress, findings, and implementation notes directly to issues.

This skill helps you create professional, comprehensive GitHub releases using

Create or update comprehensive GitHub issues that capture ALL context, requirements, and implementation details. Use when creating or updating tickets, issues, feature requests, or bug reports. Ensures no context is lost between ticket creation and implementation - the moment you ask for a ticket, there's maximum context available that will be lost if not captured now.

Create and format Gherkin feature files using BDD syntax. Use when creating feature files, scenarios, or writing behavioral specifications.

Reverse engineer binaries using Ghidra's headless analyzer. Decompile executables, extract functions, strings, symbols, and analyze call graphs without GUI.

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Produce first drafts that match a writer's authentic voice using their Voice DNA Document. Consumes DNA documents from writing-dna-discovery skill. Generates 2 meaningfully different drafts with headlines, confidence assessment, decision notes, and DNA refinement suggestions. Collaborative partner that evaluates, pushes back, and advocates for quality. Handles blog posts, essays, newsletters, and more.

Manage GitHub gists - create, edit, list, and share code snippets using gh CLI

Git 2.49+ features including reftables, sparse-checkout, partial clone, git-backfill, and worktrees