figma
List Team Projects
List Figma team projects to identify the relevant design project for handoff.
Design-to-development handoffs often break down when developers don't know when designs are ready or where to find them. This workflow reads finalized Figma components, creates Linear issues with exported asset links, and notifies the development team in Slack so implementation can begin immediately.
The scenario uses specific integration tools at each step, while Metorial keeps access scoped and visible.
List Figma team projects and project files to locate the file containing designs ready for handoff.
Get the published components from the Figma file that are marked ready for development.
Export the relevant design nodes as PNG or SVG images to generate shareable asset URLs.
Create a Linear issue for each component or screen, including design specifications, exported asset links, and acceptance criteria.
Send a Slack message to the development channel listing the new Linear issues and linking to the Figma file for reference.
figma
List Figma team projects to identify the relevant design project for handoff.
figma
List files within the project to find the file containing finalized designs.
figma
Retrieve published components from the Figma file ready for development handoff.
figma
Export finalized design nodes as PNG or SVG to generate asset URLs for the Linear issue.
linear
Create a Linear implementation issue with design context, asset links, and component specifications.
slack
Notify the development team Slack channel that a design handoff issue has been created in Linear.
Integration
Access and inspect Figma design files, including full node trees, layers, properties, and metadata. Export file nodes as PNG, SVG, JPG, or PDF images. Read, create, and delete comments and reactions on files. Manage file version history. List team projects and project files. Retrieve published components, component sets, and styles from team libraries. Create, update, and delete variables and variable collections (Enterprise). Manage dev resources attached to file nodes. Retrieve library analytics and design system usage data (Enterprise). Read organization activity logs and discovery text events (Enterprise). Configure webhooks to receive notifications for file updates, deletions, version changes, comments, library publishes, and dev mode status changes.
Integration
Create, read, update, and delete issues across teams with support for priorities, labels, assignees, due dates, and workflow states. Manage projects that group related issues, and organize work into time-boxed cycles (sprints). Create and manage documents, comments, and file attachments. Search issues using vector similarity or rich filters. Configure teams, workflow states, and labels. Track customers and link them to issues. Subscribe to real-time webhooks for changes to issues, projects, cycles, comments, documents, and more.
Integration
Slack: connect with bot OAuth or user OAuth. Send, update, delete, and schedule messages; list and cancel scheduled messages; open DMs and group DMs; manage conversations, members, files, reactions, pins, bookmarks, reminders, user groups, and user status; search messages and files with user scopes; and retrieve user, conversation, and workspace info.
Outcome 1
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Outcome 2
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Outcome 3
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Metorial is the governed connection layer between your AI agents and the tools your company runs on. It turns workflows like distribute figma design handoffs to developers via linear and slack into something you can deploy quickly, safely, and at scale.
Fast
Connect 1000+ verified integrations through one Magic MCP URL instead of building and maintaining bespoke connectors for each system in this workflow.
Secure
Protoguard inspects every message and tool call for prompt injection and policy violations before an agent touches your systems.
Enterprise
Agents act on real identity under company SSO, with per-user and per-group access policies and a complete, searchable record of everything that happens.
Team ready
Package this workflow as a skill, attach the tools it needs, and let teammates run it through Portals — governed by admins, owned by the people who do the work.
The Metorial products that connect, govern, and observe this scenario.
Connectivity
Start from 1000+ verified integrations or bring your own, and give every one a governed path to your agents under existing SSO and access policies.
Connectivity
A single URL your AI client connects to. Sign in with the login you already use and your agent reaches every integration and tool you allow — no per-app setup.
Identity
Sign in with company SSO, set policies per user and group, and let agents act on real identity across every connected system in this workflow.
Governance
Metorial’s security layer reviews every message and tool request before an agent acts — catching prompt injection and blocking anything outside your policies.
Observability
A complete, searchable record of everything your agents, team, and machines do across these integrations, so you can trust the workflow in production.
Governance
Let teammates connect agents to the integrations and skills your company already uses, with admins deciding who gets access to what.
However you adopt AI, Metorial has a path for connecting it safely.
Solution
Give the agents behind this scenario governed access to every tool and integration they need, with one connection layer instead of bespoke glue code.
Solution
SSO, granular access control, security review, and full audit trails so this workflow meets enterprise governance and compliance requirements.
Solution
Let the people who do this work connect their own AI agents to approved integrations and reusable skills — safely, without waiting on engineering.