Cowork on a spatial canvas from the CLI — create canvases, generate images/text/video/agent responses, read results,...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if canvas-cowork belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/flowith-ai/canvas-cowork ~/.claude/skills/canvas-coworkRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/skills/canvas-coworkNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ │ └─ canvas-cowork/ ← installs here ├─ agents/ └─ settings.json
Cowork on a spatial canvas from the CLI — create canvases, generate images/text/video/agent responses, read results, recall past work, and manage nodes
Source: GitHub repository
Source check: October 20, 2026
Upstream commit: October 20, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.