Agent skill

Token Documentation

by murphytrueman in murphytrueman/design-system-ops

Write reference docs for existing design tokens: semantic intent, use/do-not-use, references, used-by, theming contract, misuse list.

MITAuto-check passedFrontend & Design

Install Token Documentation

skills CLI
$ npx skills add murphytrueman/design-system-ops --skill token-documentation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install murphytrueman/design-system-ops token-documentation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/murphytrueman/design-system-ops.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/token-documentation .claude/skills/token-documentation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
token-documentation
GitHub stars
203
Token cost
~4.1k tokens
SKILL.md length
2,086 words
Files
1
Skills in repo
36
Repo updated
First seen
Licence
MIT

At a glance

Write reference docs for existing design tokens: semantic intent, use/do-not-use, references, used-by, theming contract, misuse list.

  • Works in 7 steps: Gather the token set → Document by tier → Document the theming contract (if… → …
  • Tasks that involve Design tokens
  • SKILL.md covers Before you begin: verify…, Context, Boundaries and Configuration, plus 11 more sections
  • Calls npx

What it does

Token Documentation is an agent skill from murphytrueman/design-system-ops. Write reference docs for existing design tokens: semantic intent, use/do-not-use, references, used-by, theming contract, misuse list. Triggers: document our tokens, token reference, what is this token for. Token structure/architecture audit: use token-audit; file validation: schema-validator.

Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Frontend & Design, covering Design tokens and Theming and dark mode. The repository describes itself as: Claude Code skills for the work that keeps a design system alive. The licence is MIT.

When your agent uses it

  • Tasks that involve Design tokens
  • Tasks that involve Theming and dark mode

Example prompts

  • “/token-documentation”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): Read, Write, Grep, Glob, Bash(cat:*), Bash(find:*), Bash(head:*), Bash(ls:*), Bash(grep:*), Bash(rg:*)

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Gather the token set
  2. Document by tier
  3. Document the theming contract (if applicable)
  4. Add the misuse reference
  5. Write intent back into the source
  6. Write the documentation files
  7. Summarise in chat

What it can do on your machine

Read from SKILL.md and the folder at commit f167898. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Grep
    • Glob
    • Bash(cat:*)
    • Bash(find:*)
    • Bash(head:*)
    • Bash(ls:*)
    • Bash(grep:*)
    • Bash(rg:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Token Documentation loads about 4.1k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 2,086 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from murphytrueman/design-system-ops at commit f167898, republished under its MIT licence (© murphytrueman). 2,086 words, ~4,136 tokens.

Download SKILL.mdSave it as .claude/skills/token-documentation/SKILL.md (or your agent's skills folder).
name
token-documentation
description
Write reference docs for existing design tokens: semantic intent, use/do-not-use, references, used-by, theming contract, misuse list. Triggers: document our tokens, token reference, what is this token for. Token structure/architecture audit: use token-audit; file validation: schema-validator.
allowed-tools
Read, Write, Grep, Glob, Bash(cat:*), Bash(find:*), Bash(head:*), Bash(ls:*), Bash(grep:*), Bash(rg:*)
references
../../knowledge-notes/token-architecture.md, ../../knowledge-notes/output-discipline.md

Token documentation

A skill for writing documentation for design tokens that communicates semantic intent, usage context, and application rules across all three tiers. Output is reference documentation that tells consumers what a token means and how to use it correctly — not just what value it resolves to.

Before you begin: verify references

Confirm that every path in this skill's frontmatter references: exists relative to this SKILL.md. If any is missing, stop: the install is incomplete, usually because a flattening installer (for example npx skills install) dropped the repo-root knowledge-notes/ directory. Tell the user to reinstall by a method in 1-INSTALL.md and run verify-install.sh from the install root. Proceed without the references only if the user explicitly says to, and then say in the output that it was produced without the pack's reference material.

Context

Token documentation has a chronic problem: it stops at the value. A token reference that says color.action.primary: #0066CC tells a consumer the resolved colour, but not when to use it, what it communicates to users, which components it belongs on, or what happens when it is misapplied. Teams that rely purely on value-level documentation make naming decisions based on colour proximity rather than semantic intent, and the system drifts.

The goal is documentation that makes the semantic contract legible. A consumer reading these docs should come away understanding not just what a token resolves to, but why it exists and where it belongs.

Boundaries

This skill documents existing tokens. It does not create new tokens, redesign the token architecture, or validate token file structure (use schema-validator for structural validation, token-audit for architectural assessment). If the token set is empty or has not been defined yet, this skill does not apply — help the team establish their token architecture first. If only primitive tokens exist (no semantic tier), note that the documentation value is limited since primitive tokens are largely self-documenting, and suggest establishing a semantic tier before investing in documentation.


Configuration

If .ds-ops-config.yml exists, follow the configuration-and-recurring knowledge note (../../knowledge-notes/configuration-and-recurring.md) for loading, integration fallbacks and recurring runs. This skill reads:

  • integrations.style_dictionary — the token tree, parsed automatically
  • integrations.figma — Figma variables to cross-reference
  • integrations.documentation — existing token docs to update rather than rewrite

Auto-pull integrations

Style Dictionary (4 or 5) or Terrazzo (integrations.style_dictionary.enabled: true, or a config in the repo):

  • Parse the config to extract the complete token tree with resolved references
  • Auto-detect tier structure, token names, values, and reference chains
  • This replaces the manual "provide your token files" step

Figma MCP (integrations.figma.enabled: true):

  • Pull Figma variable collections and modes (light/dark, brand variants)
  • Cross-reference Figma variables against code tokens for completeness check

Documentation platform (integrations.documentation.enabled: true):

  • Check for existing token documentation to incorporate rather than overwrite

Step 1: Gather the token set

Ask for or confirm (skip questions already answered by auto-pull):

  • The tokens to be documented (a specific set, a full tier, or the entire system)
  • The source format: JSON, DTCG, Tokens Studio export, Style Dictionary configuration, CSS custom properties (:root { --token: value; }), SCSS/Sass variables ($token: value;), TypeScript/JavaScript token objects, Tailwind config (theme / extend block), or listed by name
  • Any existing documentation or notes on intent that should be incorporated
  • The audience for the documentation (designers only, developers only, or both — this affects the technical depth)

For CSS custom properties and SCSS variables: infer token hierarchy from naming patterns (e.g. --color-blue-500 → primitive, --color-action-primary → semantic, --button-bg-default → component). For Tailwind configs, the theme block is the token source. For TypeScript/JavaScript token objects: the exported object hierarchy maps directly to token tiers — nested keys are the path (e.g. tokens.color.brand.blue[500] → color.brand.blue.500). Include both the object key path and resolved value in the documentation. For as const objects, the literal types provide exact values without runtime ambiguity.

If the full system is being documented, suggest starting with the semantic tier. Semantic tokens are where intent documentation does the most work. If the system uses component tokens, include those after semantics.

Provenance rule. Names, values and references come from the token files. Intent comes from token descriptions ($description or equivalent), the team's docs, or the user; intent you write from the name alone is marked "proposed". "Used by" and misuse entries follow the rules in Step 2 and Step 4. See "Every figure and fact needs a source" in the output-discipline knowledge note.

Step 2: Document by tier

Primitive tokens

Primitive token documentation is lightweight. The goal is to establish what the scale looks like and what it is derived from — not to explain when to use color.blue.400 vs color.blue.500, because that is the semantic tier's job.

Document:

  • Scale overview: how the scale is structured and what increments mean
  • Source: where the values come from (a specific palette tool, a brand colour system, a typographic scale)
  • Usage constraint: one sentence stating that primitive tokens should not be used directly in components — they are referenced by semantic tokens

Format per primitive group:

[Token group name]
Scale: [describe the scale — e.g. 50–950 in 50-point increments, or T-shirt sizing]
Source: [where values come from]
Values: [list or reference to the token file]
Usage: Reference via semantic tokens only.
Semantic tokens

Semantic tokens carry the intent contract. This is where most documentation effort belongs.

For each semantic token or semantic token group, document:

Intent: What does this token communicate to users? One sentence. Not what it looks like — what it means. Example: color.action.primary — Identifies the primary interactive action in a given context. Signals that an element is the most important or most expected next step for the user.

Resolved value: What value does this token produce in the default theme? (And in other themes if theming is supported.)

Tier reference: Which primitive token does this semantic token reference?

Usage context: Where this token belongs — which component surfaces, which states, which user-facing roles.

Usage constraint: Where this token should not be used — specific misuse patterns to avoid.

Component associations: Which components reference this token. Build this by searching component source (styles, token bindings, component token files) for each token's name in the forms the codebase uses (e.g. color.action.primary, --color-action-primary, tokens.color.action.primary). Before writing "no components use this token", confirm the search finds a token you know is used; if it can't, write "not determined" instead.

Format per semantic token:

[token.name]

Intent: [one sentence on what this token communicates]
Resolved value: [value(s) by theme]
References: [primitive token(s)]

Use on: [list of appropriate surfaces or component types]
Do not use on: [specific misuse contexts]

Used by: [component names found referencing this token, or "not determined"]
Component tokens (include only if the system uses them)

Not every system has a component token tier — many systems bind semantic tokens directly in component code, and that is a valid architecture. If the system does use component tokens, they are the most specific tier and the most commonly under-documented because they feel obvious. "Of course button.background.default is the button's default background" — but what should happen if a product team wants to override it? Which semantic token should they route through? Are there states the documentation has not covered?

If the system does not use component tokens, skip this section entirely. Do not recommend introducing them unless the context calls for it (white-labelling, multi-brand, complex components with many token bindings).

For component tokens, document:

  • Which component this token belongs to
  • Which prop or state it controls
  • Which semantic token it references (and why — if the mapping is not obvious)
  • Whether overriding this token at the product level is expected or discouraged

Group component token documentation by component. Do not produce a flat alphabetical list of component tokens — it is unusable.

Format per component group:

[Component name] tokens

[token.name] — [prop or state it controls]
References: [semantic token]
Override guidance: [expected / discouraged / never — with one-sentence reason]

Step 3: Document the theming contract (if applicable)

If the system supports multiple themes (light/dark, brand variants, platform-specific themes), document how the semantic tokens resolve across themes and what the contract is for adding a new theme.

This documentation is often missing entirely, which means teams learn the theming system by reading the token files rather than by reading a clear contract. The contract should answer:

  • Which tokens change across themes and which stay fixed
  • How a new theme is added and what tokens are required
  • What happens if a token is not defined in a custom theme (fallback behaviour)
Show full SKILL.md (808 more words)Show less

Step 4: Add the misuse reference

At the end of the documentation, include a brief misuse reference: the most common incorrect token usages, with the correct alternative for each. Take entries from token-compliance or drift-detection findings, or from the user. Anything else is labelled "anticipated" so it isn't read as an observed problem.

Format:

Common misuse: Using [wrong token] to achieve [visual outcome] ([source] or anticipated)
Why it's wrong: [one sentence — what the wrong token communicates that conflicts with the intended use]
Use instead: [correct token]

Five to ten entries is usually enough to cover the most frequent errors.

Step 4b: Token governance note

At the top of the token documentation, include a governance section that answers the question every consumer eventually asks: "Who do I talk to when I need a token that does not exist?"

Ask the user for each field; leave [TBC] for anything they don't know rather than naming an owner or cadence yourself.

Token governance:

  • Token owner: [Named person or team responsible for the token architecture]
  • Request process: [How to request a new token — contribution workflow reference, Slack channel, or issue template]
  • Change cadence: [How often are token changes released? Is there a review cycle?]
  • Documentation updates: When a token changes, the documentation is updated by [owner / contributor / automated from token source]. If documentation lags behind token changes, report it to [channel].

This note prevents the common failure mode where token documentation is accurate at publication but becomes stale because no one owns the update process.

Step 5: Write intent back into the source

The token file is where intent survives. Docs pages drift; a $description travels with the token into Style Dictionary, Terrazzo, Tokens Studio, Figma variable sync and any docs generator. So the machine-readable output of this skill is the source itself, not a parallel file:

  • DTCG files: put the one-sentence intent in each semantic (and component) token's $description. Put the use/do-not-use guidance under $extensions with a reverse-domain key the team chooses, for example "com.<org>.usage": { "useOn": [...], "doNotUseOn": [...] }, so tools that don't know it preserve it. Group-level $description covers a scale.
  • Style Dictionary 3 files: the comment property.
  • CSS, Sass, TypeScript token sources: a comment above the declaration in the file's own comment syntax.
  • Figma variables (Console MCP connected): write the same sentence to the variable description with figma_update_variable, so designers read what engineers read.

Show the diff and write only after the user confirms. Intent marked "proposed" is written as [proposed] … so nobody mistakes a guess for a decision. A separate JSON reference is a copy that drifts: produce .ai/tokens/token-reference.json only if the user asks for it, and then generate it from the source after the write-back, never by hand.

DTCG alignment (only if the system uses or is migrating to DTCG). One short section: the token types in use and any composite sub-value conventions; for resolvers, each set's purpose and files, each modifier and its contexts, and the resolution order (a diagram if there are more than three sets or contexts); and, if partly migrated, which categories are done and what remains.

Step 6: Write the documentation files

Unless integrations.documentation names a platform, write markdown the docs site can ingest:

docs/tokens/
  README.md            index: tiers explained, governance note (Step 4b), theming contract (Step 3), links
  primitives.md        per group: scale, source, "reference via semantic tokens only"
  semantic.md          grouped by function (actions, feedback, text roles, surfaces, spacing roles), the Step 2 format per token
  components.md        only if the system uses component tokens; grouped by component
  quick-reference.md   Step 6b
  misuse.md            Step 4

If token docs already exist, update them in place and say what changed; don't leave two sets. The semantic reference is the most-used page: it comes first in the index and its groups are the jobs consumers do, not the token categories.

Step 6b: Quick reference by semantic function

In addition to the full documentation, produce a one-page quick reference organised by what the consumer is trying to do, not by token category:

Illustrative lines:

  • "I need a colour for a primary action": color.action.primary
  • "I need spacing between sections": spacing.lg
  • "I need a page heading": typography.heading.lg

Use the system's real token names, grouped by the jobs consumers actually do (colour, spacing, typography). Publish it alongside the full documentation as a fast-lookup tool.

Step 7: Summarise in chat

End with a short chat summary:

  • Headline: how many tokens were documented, by tier
  • Files written: doc paths, the token source files whose $description (or comments) were updated, and .ai/tokens/token-reference.json only if the user asked for it
  • Marked: intents marked "proposed", misuse entries marked "anticipated", "Used by" entries left "not determined", and [TBC] governance fields
  • Scope: the block from the output-discipline knowledge note, including how the "Used by" search was shown to work

Quality checks

  • Every semantic token has an intent description, not just a value and name
  • Usage context and usage constraint are both present — not just "use this for buttons"
  • Component tokens reference their semantic parent and include override guidance
  • The theming contract is documented if theming is supported
  • The misuse reference exists and is specific, with each entry sourced or labelled "anticipated"
  • "Used by" comes from a source search with a positive control, not from token names
  • Format is appropriate for the documentation platform — navigable, not just comprehensive
  • Intent was written back into the token source (with confirmation), so the docs and the files can't disagree; no parallel JSON was produced unasked

© murphytrueman, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/token-documentation of murphytrueman/design-system-ops.

Open the folder on GitHubat commit f167898

Compare with similar skills

Token Documentation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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MCP Developmentcoollabsio/coolify63k1 repos~949Automated safety check: PassMIT
Scalar Design Systemscalar/scalar16k—~2.7kAutomated safety check: PassMIT
Refactoring UIs0xDk/refactoring-ui-skill586—~3.5kAutomated safety check: PassMIT
Liuguang Banlan UIsickn33/agentic-awesome-skills47k1 repos~2.5kAutomated safety check: PassMIT

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Questions about Token Documentation

What does Token Documentation do?

Write reference docs for existing design tokens: semantic intent, use/do-not-use, references, used-by, theming contract, misuse list. Token Documentation is an agent skill from murphytrueman/design-system-ops. Write reference docs for existing design tokens: semantic intent, use/do-not-use, references, used-by, theming contract, misuse list.

When should I use Token Documentation?

Token Documentation fits situations like: tasks that involve Design tokens; tasks that involve Theming and dark mode.

How do I install Token Documentation in Claude Code?

Run `npx skills add murphytrueman/design-system-ops --skill token-documentation -a claude-code`. Or copy the skill folder (skills/token-documentation in murphytrueman/design-system-ops) into .claude/skills/token-documentation in your project. Claude Code loads it when a task matches its description.

How do I install Token Documentation in Codex?

Run `npx skills add murphytrueman/design-system-ops --skill token-documentation -a codex`. Or copy the skill folder (skills/token-documentation in murphytrueman/design-system-ops) into .agents/skills/token-documentation in your project. Codex loads it when a task matches its description.

Can I use Token Documentation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add murphytrueman/design-system-ops --skill token-documentation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/token-documentation, .gemini/skills/token-documentation, .github/skills/token-documentation and .opencode/skills/token-documentation in your project.

What does Token Documentation need to run?

Going by SKILL.md and its folder, Token Documentation needs the command-line tools its instructions call (npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Write, Grep, Glob, Bash(cat:*), Bash(find:*), Bash(head:*), Bash(ls:*), Bash(grep:*), Bash(rg:*).

Does Token Documentation access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Token Documentation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Token Documentation use?

Token Documentation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Token Documentation use?

About 4.1k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Token Documentation?

Skills that share tags, products or a category with Token Documentation: Figma Design System Builder (warpdotdev/warp, 65k stars), MCP Development (coollabsio/coolify, 63k stars), Scalar Design System (scalar/scalar, 16k stars) and Refactoring UI (s0xDk/refactoring-ui-skill, 586 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Token Documentation?

murphytrueman (a GitHub user) maintains it in murphytrueman/design-system-ops, which has 203 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on September 24, 2026.

Source: murphytrueman/design-system-ops on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.