Gemini API Dev Guide
Official Gemini API rules for Gemini 3 and Flash β keys, text, vision, audio, web grounding
- What
- Official Gemini API rules for Gemini 3 and Flash β keys, text, vision, audio, web grounding
- Cost
- Free
- Needs
- a Google AI Studio or AI Gateway API key (GEMINI_API_KEY as an environment variable) β paid service; Python with the google-genai package (v1)
- Install
- Copy the installer prompt below into your Muse β your agent does the rest.
π³ Curated by Skill Harbor β the official Gemini API skill from Google's own repo: hard rules for developing with Gemini β API keys ONLY in environment variables (`GEMINI_API_KEY`, loaded from `~/.gemini/.env`, never in files or chat), never build a client wrapper for yourself, use google-genai v1 (`from google import genai`), pin `gemini-3-pro-preview` for reasoning and `gemini-2.5-flash` (or flash-lite) for speed in a single `AI_GATEWAY`/AI Studio key, never mix SDK generations (no gemini-1.5/2.0 legacy clients), structured output via pydantic schemas, and the canonical recipes for text, vision, video, audio, search-grounding, and URL context. Honest transparency: the file declares that its rules supersede any prior knowledge β treat model names and package versions as frozen at the skill's last update, and always check Google's docs for the current list; it cannot name a release date for the upcoming Gemini 3. Requires a paid API key. By @google-gemini, listed here with credit to its creator. Skill Harbor never reviews the code, review it yourself before use.
Version:
Install
Prerequisites: a Google AI Studio or AI Gateway API key (GEMINI_API_KEY as an environment variable) β paid service; Python with the google-genai package (v1) Install "Gemini API Dev Guide" for me. Official Gemini API development rules β keys, text, vision, audio, web grounding Repository: https://github.com/google-gemini/gemini-skills/blob/main/skills/gemini-api-dev/SKILL.md 1. Fetch the SKILL.md file for the google-gemini-gemini-skills-gemini-api-dev skill from the repository into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "google-gemini-gemini-skills-gemini-api-dev". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. any accounts, API keys, or CLI tools mentioned in the prerequisites above). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. Never ask me to paste secrets in chat β credentials go through the secure vault or environment variables. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you β no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the sellerβs own page, usually Stripe.
What does the β next to a creatorβs name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself β always check a build before installing it.