Scenario 01
Team hardware decision
Agent task involves recommending Apple hardware for a team purchase.
Which MacBook Pro should our 5-person design team buy right now? Budget is $2,500 per person.
Let Antigravity Agents Research Apple Products With Live Data
When an Antigravity agent is helping with a procurement decision, a device comparison, or a tech stack recommendation that involves Apple hardware, it shouldn't rely on Gemini 3's training data for specs and pricing. Apple Buy Advisor fetches live specs from Apple.com, collects current user reviews from X and Reddit, and assembles a structured report the agent can reason over and include in its output.
How it works
Agent tasks that trigger apple-buy-advisor automatically
These are the prompts where Antigravity's Agent Manager routes to apple-buy-advisor — when the task needs current Apple product data.
01 · User
Prompt sent
You type a task in Antigravity. No special syntax needed.
02 · Agent Manager
Task analysis
Gemini 3 plans the task and detects knowledge cutoff risk.
03 · SKILL.md router
Semantic match
SKILL.md description matches the task. The skill is loaded.
04 · Skill
Skill execution
The matched skill runs and fetches or processes the data.
05 · Output
Cited answer inline
Structured answer with source links returned to the agent.
Scenario 02
Refurbished vs new comparison
Agent needs to compare current refurbished deals against new pricing.
Is the refurbished M3 MacBook Air a better deal than the new M4 right now?
Scenario 03
Upgrade timing advice
Agent task involves advising on whether to buy now or wait for a new release.
Should I buy an iPhone 16 Pro now or wait for the iPhone 17?
How it works
What apple-buy-advisor adds to Antigravity
Six capabilities that give agents live Apple product data for purchase research tasks.
Live Apple product data
Current specs, pricing, and availability — not Gemini 3's training data.
Side-by-side comparison
Agent generates structured comparisons across models, storage tiers, and configurations.
Refurbished and deal tracking
Checks Apple's refurbished store and current promotions in real time.
Regional availability
Returns availability and pricing for the user's region automatically.
Recommendation logic
Agent applies use-case criteria to recommend the right model for the task.
SKILL.md auto-routing
Activated when the agent task involves Apple product research or purchase decisions.
Use Cases
Real tasks, real workflows
How developers use this skill inside Antigravity — from quick lookups to complex multi-step workflows.
01
Team hardware decision
Agent task involves recommending Apple hardware for a team purchase.
❯Which MacBook Pro should our 5-person design team buy right now? Budget is $2,500 per person.
02
Refurbished vs new comparison
Agent needs to compare current refurbished deals against new pricing.
❯Is the refurbished M3 MacBook Air a better deal than the new M4 right now?
03
Upgrade timing advice
Agent task involves advising on whether to buy now or wait for a new release.
❯Should I buy an iPhone 16 Pro now or wait for the iPhone 17?
Installation
Three steps to live Apple product research inside Antigravity
Once installed, the Agent Manager triggers apple-buy-advisor when a task involves Apple hardware decisions — the agent gets live data, not stale training-data specs.
Method 1 · Terminal
Install via command line
Clone the Felo skills repo and copy the skill into your global Antigravity skills directory.
# Clone the Felo skills repository
git clone https://github.com/Felo-Inc/felo-skills.git
# Copy this skill to your global Antigravity skills folder
cp -r felo-skills/apple-buy-advisor ~/.gemini/antigravity/skills/Installs to ~/.gemini/antigravity/skills/ — available across all your projects
Method 2 · Agent prompt
Let the agent install it for you
Paste this prompt directly into Antigravity. The agent clones the repo and copies the skill automatically.
Paste into Antigravity
Install https://github.com/Felo-Inc/felo-skills into my global Antigravity skills directory.
The agent handles cloning, copying, and directory setup — no terminal needed
1
Copy the skill into .agent/skills/
Clone the Felo skills repo and copy apple-buy-advisor into .agent/skills/ for team-wide access. The SKILL.md description activates it for tasks involving Apple product research, comparisons, or procurement decisions.
2
Set your Felo API key
Add FELO_API_KEY to your environment. The skill orchestrates felo-web-fetch, felo-search, and felo-x-search internally — you get a complete research report without managing multiple skill calls manually.
3
Agent delivers a live product report
Ask the agent to compare two Apple products or recommend a device for a use case. It fetches current specs from Apple.com, collects user reviews from X and Reddit, pulls professional reviews, and assembles a structured report — all from live data.
No configuration needed. The SKILL.md file inside the skill folder tells Antigravity's Agent Manager when to activate it. Once the folder is in place, the agent routes to the skill automatically based on your prompt.
FAQ
Apple Buy Advisor in Google Antigravity — FAQ
Gemini 3's training data has a cutoff — it doesn't know current Apple pricing, the latest M-chip benchmarks, or what users are saying about a product released last month. apple-buy-advisor fetches live data from Apple.com and current review sources, so the agent's recommendation is based on what's true today.
Ground Apple hardware decisions in live data, not training-data guesses
Install apple-buy-advisor in .agent/skills/ and let Antigravity agents fetch current specs, reviews, and pricing before making any Apple product recommendation.
One API key covers apple-buy-advisor and all the Felo skills it depends on. Commit to .agent/skills/ and your agents get live Apple product intelligence.
More Antigravity Skills
