Agent Building skills
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
gemini-command-development
Expert guide for creating custom Gemini CLI commands. Covers slash command definitions (.toml), argument parsing, and shell execution. Use when creating custom Gemini commands, defining TOML command files, adding command arguments, or building extension-based commands. Delegates to gemini-cli-docs.
gemini-delegation
Delegates tasks to Gemini CLI implementing delegation-core for Google's models. Use when delegation-core selects Gemini or 1M+ token context is needed.
gemini-extensions
Use Gemini Extensions to connect models to Google services and external tools.
gemini-rlm-min
Minimal implementation of Recursive Language Models (RLM) using Gemini 2.0 Flash and a local Python REPL. Enables processing of massive contexts via the Gemini CLI.
gemini-specialist
Use Gemini CLI for massive context tasks (1M-2M tokens). Orchestrator evaluates safety and directs usage patterns intelligently.
GitButler Multi-Agent
Coordinate multiple AI agents working concurrently in the same workspace using GitButler's virtual branch model. Use for parallel development, sequential handoffs, and commit transfer patterns without checkout overhead.
golden-dataset-curation
Use when creating or improving golden datasets for AI evaluation. Defines quality criteria, curation workflows, and multi-agent analysis patterns for test data.
gpt5.2-spec-writer
Guide for writing effective prompt specifications (specs) for the GPT-5.2 Codex agent. Use when the user asks to "write a prompt spec", "create a system prompt for GPT-5.2", "design a spec for an agent", or "how to prompt GPT-5.2".