To stop brand colours drifting between Figma and CSS, give each colour decision one reusable token name, separate raw palette values from role-based aliases, and use a documented, validated path to move token data into code. Figma variables and the Design Tokens Community Group (DTCG) format can support that workflow, but format compatibility alone does not guarantee identical features or automatic two-way sync.
What design tokens solve
A design token assigns a reusable name to a design decision and its value. Instead of copying a hex value into several Figma styles and CSS declarations, a team can refer to a named token in each place. If a brand shade changes, the team can update the primitive value and identify the roles that depend on it.
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The DTCG format is intended to exchange token data between tools. Its Design Tokens Format Module 2025.10 was published on 28 October 2025 and is described as a stable Community Group report. It is not a W3C Standard and is not on the W3C Standards Track. The related Design Tokens Color Module 2025.10, also published on 28 October 2025, specifies token color values and opacity and carries the same status qualification.
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Separate palette values from interface roles
Start with primitive tokens
Primitives hold the raw palette values, named for the palette rather than where a color happens to appear. Figma’s guidance uses names such as blue-100 and blue-200. A primitive might be called color.brand.blue and hold a hex value.
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Point semantic tokens to primitives
Semantic tokens describe use: for example, text-primary, surface-default, or action-primary. They can reference primitives rather than duplicating their values. Figma recommends this primitive-to-semantic structure. A role name such as text-secondary can continue to make sense if the underlying shade changes; an appearance-based name such as gray-text ties the name to a color that may no longer be gray after a rebrand.
Figma variables support aliases, collections, and modes. A team can organize color variables into collections and use modes for contexts such as light and dark. Figma’s overview of variables, collections, and modes describes these features.
Illustrative token structure
{
"color": {
"brand": {
"blue": {
"$type": "color",
"$value": "#155EEF"
}
},
"action": {
"primary": {
"$type": "color",
"$value": "{color.brand.blue}"
}
}
}
}Here, the primitive records a raw brand shade and the semantic token expresses its use. This illustrates the distinction; it is not a tested Figma-to-CSS integration. Confirm that the chosen importer or exporter resolves the alias as intended.
Build a controlled Figma-to-CSS workflow
- Audit existing colors. Look through Figma variables and styles and the CSS codebase for repeated hex or RGB values. Record which are canonical brand colors and which are intentional variants, such as state or theme colors. This is a practical starting method, not a prescribed DTCG procedure.
- Define the primitives. Put raw palette values in a clearly named primitive collection. Keep names stable enough that they identify the palette entry rather than a single screen or component.
- Add semantic aliases. Create role-based names for the interface uses that matter to the team, then point them to primitives. This makes the intended use visible and lets a rebrand change a primitive without requiring every role to be renamed.
- Choose one editable source and an output route. Decide whether the canonical editable source will be Figma variables, a DTCG JSON file in version control, or a token-management tool. Use a documented integration or exchange format, then generate CSS custom properties or import and export through a workflow the team has validated. DTCG describes exchange and keeping design and development tools in sync as use cases; it does not prescribe a universal pipeline.
- Validate the actual round trip or build. Check names, values, alias resolution, modes, color spaces, and generated CSS against the target importer or compiler. Figma’s Modes for variables documentation describes importing DTCG JSON and lists constraints. For example, its listed imported color spaces include HSL and sRGB; dimensions need
px, and durations need seconds. Do not infer support for a value or behavior that the documentation and your actual workflow have not established. - Review token changes with the code output. As a workflow recommendation, treat token edits like code changes: review the diff, check which semantic roles are affected, and publish the updated design and CSS outputs together. This gives reviewers a chance to catch a changed brand value or an unintended role mapping before the outputs diverge.
Choose an exchange approach by its behavior
There is no universal winner among Figma variables, a version-controlled token file, and a token-management tool. Compare the options on the properties that determine whether they fit your team; do not treat a tool’s DTCG-support claim as proof that every capability works the same way.
| Decision | What to establish |
|---|---|
| Source of truth | Which location is canonically edited: Figma variables, a DTCG JSON file in version control, or a token-management tool? |
| Flow direction | Does data move from design to code, code to design, or both? Verify supported direction rather than assuming bidirectional sync. |
| Interoperability | Which DTCG token types and color values are supported, and are vendor-specific extensions involved? |
| Aliases and modes | Do primitive references, semantic aliases, and theme modes survive import, export, and build as intended? |
| Automation and review | Is output a manual export or a repeatable build or CI step, and can the team review changes before publishing? |
| Maintenance and portability | Can the token model move to another tool without rewriting its names and relationships? |
A DTCG ecosystem update dated 17 June 2026 reported support for the specification across tools including Figma, Penpot, Sketch, Tokens Studio, and Style Dictionary. That is a dated community-group update, not evidence that every listed tool implements every feature identically. Existing interfaces and integrations can be tool-specific, so validate the precise source, destination, and behavior your team will use.
Quick Recap
What compatibility does—and does not—promise
- A shared format improves exchange: DTCG gives tools a common format for representing token data.
- It does not make implementations identical: Import constraints, supported color spaces, alias behavior, mode handling, and tool-specific extensions can differ.
- It does not prove automatic synchronization: The official material describes exchange and synchronization as goals or use cases, not a guarantee of real-time, conflict-free, bidirectional updates for every Figma-to-CSS setup.
- It does not remove the need for ownership: A team still needs to decide where edits are made, how changes are reviewed, and how updated CSS reaches production.
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