Agent Skill
Developing Genkit Go skill
developing-genkit-gogenkit-ai/skillsskills/developing-genkit-go/SKILL.md
Develop AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go using Genkit, or when working with Genkit Go code involving generation, prompts, streaming, tool calling, or model providers.
always on
60 tokname + description
once used
2,660 tokSKILL.md body
bundled files
19136 KB
repo stars
37GitHub
Install the Developing Genkit Go skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/genkit-ai/skills --skill developing-genkit-go
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/genkit-ai/skills.git /tmp/skills mkdir -p ~/.claude/skills cp -R /tmp/skills/skills/developing-genkit-go ~/.claude/skills/developing-genkit-go
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 60 tok |
| When the agent uses it | The SKILL.md instructions | 2,660 tok |
| Only if opened | 19 bundled files (136 KB) | varies |
Until it is used, developing-genkit-go costs about 23× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 4 skills from genkit-ai/skills would load 216 tokens of descriptions. Skills vs MCP study
Checks
- Tells the agent to pipe a download into a shell (curl … | sh). That runs whatever the URL serves at that moment, with your permissions.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Genkit Go
- Hello World
- Core Features
- Agents (Experimental)
- Generative UI (A2UI)
- Genkit CLI (recommended)
- Key Guidance
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Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems.
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