Guided first-time setup for Minutes — download whisper model, create directories, configure audio input. Use when the user says "set up minutes", "install minutes", "first time setup", "configure minutes", "get started with minutes", "how do I start using minutes", or when verify shows missing components.
npx skills add https://github.com/silverstein/minutes --skill minutes-setup
Before running helper scripts or opening bundled references, set:
export MINUTES_SKILLS_ROOT="$(git rev-parse --show-toplevel)/.opencode/skills"
export MINUTES_SKILL_ROOT="$MINUTES_SKILLS_ROOT/minutes-setup"
Walk the user through first-time Minutes setup, step by step.
Run the verify skill's script to see what's already done:
bash "$MINUTES_SKILLS_ROOT/minutes-verify/scripts/verify-setup.sh"
Skip any steps that already pass.
cd ~/Sites/minutes
export CXXFLAGS="-I$(xcrun --show-sdk-path)/usr/include/c++/v1"
cargo build --release
The binary lands at target/release/minutes. The user should add it to their PATH or create a symlink.
Ask the user which quality level they want using AskUserQuestion:
| Model | Size | Speed | Quality | Best for |
|-------|------|-------|---------|----------|
| tiny | 75 MB | ~10x real-time | Low | Quick tests, short memos |
| small | 466 MB | ~4x real-time | Good | Daily meetings (recommended) |
| medium | 1.5 GB | ~2x real-time | Great | Important meetings, accents |
| large-v3 | 3.1 GB | ~1x real-time | Best | Legal, medical, foreign language |
Then run:
minutes setup --model <chosen-model>
mkdir -p ~/meetings/memos
For in-person conversations, the built-in mic works fine. For Zoom/Meet/Teams:
brew install blackhole-2chSee minutes-record/references/audio-devices.md for the full guide.
Run verify again to confirm everything passes:
bash "$MINUTES_SKILLS_ROOT/minutes-verify/scripts/verify-setup.sh"
minutes record --title "Test recording"
# Speak for 10-15 seconds
minutes stop
Check the output file exists in ~/meetings/ and has a transcript.
small model is 466 MB. On slow connections, tiny is a good starting point (75 MB).Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
Publish Markdown articles to X (Twitter) Articles editor with proper formatting. Use when user wants to publish a Markdown file/URL to X Articles, or mentions "publish to X", "post article to Twitter", "X article", or wants help with X Premium article publishing. Handles cover image upload and converts Markdown to rich text automatically.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Take silverstein/minutes-.opencode-minutes-setup from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference brew.
Without those the skill loads but fails at the first command.