Agent skills for Gemini CLI

Set up the Basic Memory plugin for this project — a short guided interview that configures the project mapping, seeds note schemas, learns…

Batch visual production workflow for campaigns.

Inspect and validate Vertex AI Agent Engine deployments including Code

Track bd issues and dependencies for Codex agents.

Film cosmetics, skin texture, and bottle beauty.

Use when starting, stopping, listing, cleaning, or inspecting long-running background processes via bgproc.

Research posters in LaTeX using beamerposter, tikzposter, or baposter.

Deep cultural adaptation of translated blog posts.

Turn a one-line objective into a step-by-step construction plan any coding agent can execute cold.

Simulate a 5-member expert board deliberation for major decisions.

Populate or refresh a persistent, high-level project snapshot in memoir.

Provides brand naming frameworks, evaluation criteria, and templates for startup naming work.

Break down epics and features into concrete backlog tasks with dependencies.

Run agent-browser + Chrome inside Vercel Sandbox microVMs for browser automation from any Vercel-deployed app.

Fill a web form by mapping field-name → value, with optional template lookup from browser-templates for known forms

Cloud browser infrastructure for AI agents - create sessions, persist contexts, and automate browsers

Fix build and TypeScript errors with minimal changes

Search and ask questions about your coding agent session history.

This skill should be used when the user asks about Central Station threads, community discussions, support questions, feature requests, or…

This skill should be used when users need to generate detailed, structured prompts for creating UI/UX prototypes.

Auto-generate a structured changelog from git history and code graph entity mapping.