Figma for Meta Muse
Look up your Figma user, read file metadata, and post comments on files.
Read from the user's Figma: the authenticated user (`me`) and file metadata (`file`: name, lastModified, version, thumbnailUrl). The full file document is intentionally not returned: it is too large to be useful in chat, so `file` surfaces metadata only. The `comment` command posts a comment to a file (plain text, or anchored to a node with `--node-id`); positioned canvas pins (x/y without a node) are not supported because the exact `client_meta` schema is not clearly defined in Figma's public docs.
View original source ↗How to set it up
Paste a promptDraft — these instructions come from the linked source and have not been independently live-tested by OpenTools.
Before you start
- Figma personal access token (per-user, Figma Settings → Personal access tokens)
Steps
- Paste the install prompt into a chat with Muse.
- Muse fetches the pinned SKILL.md and the 2 files in its manifest.
- Authorize your own account through Muse’s secure credential flow.
- Have Muse run the status check shown in the source skill.
Prompt to paste into Muse
Install this connector: https://raw.githubusercontent.com/bluman1/muse-connectors/6e31fd44a71f9f28377a1460e64cd7483c3cce22/connectors/figma/SKILL.md Read its Files manifest and install exactly those files. Collect credentials through Muse's secure credential flow; never ask me for raw keys in chat. Run the skill's status check and report the result.
Account access: personal access token via the secure credential flow (`credentials.request_api_access`): create one in Figma → Settings → Personal access tokens (needs at least the `file_content:read` scope for `file`; `comment` additionally needs `file_comments:write`)
Allowed hosts: api.figma.com
Confirm it works: `bin/figma.py me` (a successful response proves the token works)
Services it connects with
These are the services the connector uses. The publisher is identified separately.
Figma