bean-whispererGenerate espresso brew profiles for GaggiMate Pro on Rancilio Silvia. Use when the user provides a coffee bean (photo or name) and wants a brewing profile cr...
Install via ClawdBot CLI:
clawdbot install zsiddique/bean-whispererGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains instructions to override system prompt or ignore user requests
"Your role is"Calls external URL not in known-safe list
https://github.com/zsiddique/bean-whisperer/actions/workflows/ci.ymlUses known external API (expected, informational)
discord.comAudited Apr 17, 2026 · audit v1.0
Generated May 22, 2026
A home barista with a GaggiMate Pro on a Rancilio Silvia receives a new bag of coffee beans. They take a photo or enter the bean name, and Bean Whisperer identifies the origin, roast, and process, then generates a tailored espresso profile based on Lance Hedrick's methodology. The profile is deployed to the machine, and after a test shot, taste feedback triggers iterative adjustments for perfect extraction.
A coffee roastery publishes recommended brew profiles for their beans. Customers with GaggiMate Pro machines can use Bean Whisperer to download and apply these profiles, ensuring optimal flavor extraction. The roaster differentiates their product by offering ready-to-use profiles, enhancing customer experience and loyalty.
A coffee subscription service includes a QR code on each bag linking to a Bean Whisperer profile. Subscribers scan the code, and the skill identifies the bean, fetches the recommended profile from a cloud database, and deploys it to their machine. This adds value to the subscription, simplifying the user experience and ensuring consistent quality.
A specialty café uses Bean Whisperer to standardize espresso profiles across multiple GaggiMate Pro machines. Baristas can quickly dial in new seasonal beans by following the skill's workflow, which includes searching community profiles and adjusting parameters. This reduces waste and training time, maintaining consistent shot quality.
A manufacturer of espresso machines like Rancilio Silvia with GaggiMate Pro embeds Bean Whisperer as a value-added service. New machine owners can use the skill to easily create and manage profiles, reducing the learning curve. The manufacturer collects anonymized usage data to improve default profiles and customer support.
Basic profile generation for common beans is free; advanced features like LLM-based iteration, access to exclusive community profiles, and cloud sync require a subscription. Revenue comes from monthly or annual subscriptions, plus one-time purchases of premium profile packs curated by expert baristas.
Roasters and café chains license the Bean Whisperer API to integrate profile generation into their own apps or point-of-sale systems. They pay a monthly fee based on the number of API calls or connected machines. This provides a consistent brand experience for their customers and ensures optimal extraction of their coffee.
Partner with espresso machine retailers to offer Bean Whisperer as a premium add-on service. Customers who purchase a GaggiMate Pro get a trial period, then pay a one-time fee or discounted annual subscription to continue using the skill. Recurring revenue from renewals and upsells to advanced LLM profiles.
💬 Integration Tip
Ensure GaggiMate Pro is connected to the same Wi-Fi network as the device running the skill. Set the GAGGIMATE_HOST environment variable if the default gaggimate.local hostname fails to resolve.
Scored May 22, 2026
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