Tencent SkillHub · AI

Fellow Aiden Precision Coffee Maker

Control your Fellow Aiden smart coffee brewer via AI assistant. Manage brew profiles, view brewer status, create and tweak recipes, add shared brew links, an...

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Control your Fellow Aiden smart coffee brewer via AI assistant. Manage brew profiles, view brewer status, create and tweak recipes, add shared brew links, an...

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: requirements.txt, fellow.py, README.md, SKILL.md

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.1

Provenance

Publisher: mogglemoss
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

Fellow Aiden ☕

Control your Fellow Aiden smart coffee brewer via chat.

Setup

Set your Fellow account credentials as environment variables: FELLOW_EMAIL=your@email.com FELLOW_PASSWORD=yourpassword The skill will handle authentication automatically.

Brewer Info

Ask things like: "What's my brewer called?" "Show me my Aiden's status" "What firmware is my brewer on?" python3 {baseDir}/fellow.py info

Profiles

Brew profiles control every parameter of your brew: water temperature, bloom, pulse intervals, and more. List all profiles: python3 {baseDir}/fellow.py profiles list Get a specific profile (by title, fuzzy match supported): python3 {baseDir}/fellow.py profiles get --title "Light Roast" python3 {baseDir}/fellow.py profiles get --title "light" --fuzzy python3 {baseDir}/fellow.py profiles get --id p3 Create a new profile: python3 {baseDir}/fellow.py profiles create \ --title "My Morning Brew" \ --ratio 15 \ --bloom \ --bloom-ratio 2 \ --bloom-duration 30 \ --bloom-temp 96 \ --ss-pulses 3 \ --ss-interval 20 \ --ss-temps "96,97,98" \ --batch-pulses 2 \ --batch-interval 30 \ --batch-temps "96,97" Delete a profile: python3 {baseDir}/fellow.py profiles delete --id p3 python3 {baseDir}/fellow.py profiles delete --title "Old Recipe" --fuzzy Import a profile from a brew.link share URL: python3 {baseDir}/fellow.py profiles import --url "https://brew.link/p/ws98" Share a profile (generates a brew.link URL): python3 {baseDir}/fellow.py profiles share --id p2 python3 {baseDir}/fellow.py profiles share --title "My Favorite"

Schedules

Schedules let the Aiden brew automatically on a weekly timer. List all schedules: python3 {baseDir}/fellow.py schedules list Create a schedule: Days are specified as a comma-separated list: sun,mon,tue,wed,thu,fri,sat Time is specified as HH:MM in 24-hour format (local time is converted to seconds-from-midnight automatically). # Brew every weekday at 7:30am, 950ml, using profile p2 python3 {baseDir}/fellow.py schedules create \ --days "mon,tue,wed,thu,fri" \ --time "07:30" \ --water 950 \ --profile-id p2 # Brew Mon/Wed/Fri at 8:00am python3 {baseDir}/fellow.py schedules create \ --days "mon,wed,fri" \ --time "08:00" \ --water 750 \ --profile-id p0 Delete a schedule: python3 {baseDir}/fellow.py schedules delete --id s0

Usage Guidance for the Agent

When the user asks to "brew" or mentions coffee, check their profiles first and suggest relevant ones. Profile titles support fuzzy matching — you don't need an exact match. Water amount is in millilitres (150–1500ml). Temperatures are in Celsius. Profile IDs look like p0, p1, etc. Schedule IDs look like s0, s1, etc. When creating a profile from natural language (e.g. "make me a light roast profile"), use sensible defaults: ratio: 15–17 for lighter roasts, 14–15 for darker bloom: enabled, bloomRatio 2, bloomDuration 30s temperatures: 90–93°C for light, 93–96°C for medium, 96–98°C for dark Always confirm with the user before deleting profiles or schedules. When sharing a profile, present the brew.link URL clearly so the user can copy it. The --fuzzy flag on profiles get and profiles delete enables approximate title matching — use it when the user gives an informal name.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs1 Scripts1 Files

SKILL.md Primary doc
README.md Docs
fellow.py Scripts
requirements.txt Files