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Skill: Token Build · plugin87 | DecimalAI

frontendby plugin87

Skill: Token Build

plugin87/token-build

Source plugin87/ux-ui-agent-skills ↗License MIT

Set up or run the token build pipeline — transform the DTCG tokens/*.json (source of truth) into platform artifacts (CSS variables, Tailwind @theme, JS/TS, iOS Asset Catalog, Android, Compose) with Style Dictionary / Tokens Studio / W3C DTCG export.

SkillScore82Maintained

Automatic

Frontend / UI pack

Last verified 8/20/2026

What it changes

Passed 18 of 22 test cases with the skill, and 11 of 22 without it.

Without skill50%

With skill82%

Checks it passed that the model alone missed

Formats tokens according to DTCG type specifications
Pairs Tokens Studio integration with figma-integration
Stores the theme delta definitions in tokens/theming.json

and 4 more in the full report

7 fixed11 passed either way4 still failing0 broke

Pass-rate lift: +32 pp
Tokens: -15%
Agent turns: 0%
Response time: -33%

Model Measured 8/20/2026v1 · latest is v218 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

This benchmark measured an earlier version of the skill.

A newer attempt on gemini-3.8-flash on 10/20/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/plugin87-token-build/SKILL.md https://app.decimal.ai/s/plugin87-token-build/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add plugin87-token-build, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/plugin87-token-build/ and pins it in .decimal/skills.lock

decimalai skills add plugin87-token-build

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/plugin87-token-build/SKILL.md https://app.decimal.ai/s/plugin87-token-build/SKILL.md

Raw file: /s/plugin87-token-build/SKILL.md ↗ · machine-readable summary at /s/plugin87-token-build.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 7

Prompt

Where in the project repository are the architectural rules, tool options, output targets, and resolution rules documented?

What was checked, without and with the skill
Checked	Without skill	With skill
References documentation stored at workflows/token-build.md	Missed	Passed

case-19 · gemini-3.6-flash · 8/20/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md22 linessingle file

Skill: Token Build

Step 0 — is the kit here? This skill reads files from the kit. Check once: ls ${CLAUDE_SKILL_DIR}/../../../tokens >/dev/null 2>&1 && echo KIT_OK || echo KIT_MISSING On KIT_MISSING only the skill folders were installed, which is what npx skills add does. Say so plainly, point the user at npx ux-ui-agent-skills init or the plugin install, and stop. Do not guess the contents of a file you could not open.

Turn the DTCG token source of truth into platform-ready outputs. Tokens are authored once; every platform output is generated.

Steps

Read ${CLAUDE_SKILL_DIR}/../../../workflows/token-build.md (architecture, tool options, resolution rules, output targets, CI).
Pick the tool: Style Dictionary (multi-platform, the default), Tokens Studio (Figma-owned tokens — pairs with figma-integration), W3C DTCG export, or a small custom script (model on ${CLAUDE_SKILL_DIR}/../../../scripts/validate_tokens.py).
Honor the resolution rules: resolve aliases to final values per platform; expose semantic + component tokens (primitives stay internal); emit base + dark/brand/density overrides (${CLAUDE_SKILL_DIR}/../../../tokens/theming.json) as deltas only; format by $type.
Generate the requested target(s): CSS :root vars, Tailwind v4 @theme, typed JS/TS, iOS Asset Catalog + Color.DS/Spacing, Android colors.xml/Compose theme.
Wire CI: on ${CLAUDE_SKILL_DIR}/../../../tokens/*.json change, run ${CLAUDE_SKILL_DIR}/../../../scripts/validate_tokens.py, regenerate, fail if committed artifacts are stale; gate colors with ${CLAUDE_SKILL_DIR}/../../../scripts/contrast.py.

Verification (definition of done)

python3 ${CLAUDE_SKILL_DIR}/../../../scripts/validate_tokens.py passes (no unresolved aliases).
Regenerating produces no diff vs. committed artifacts.
Dark/brand/density outputs contain only deltas, not full duplicates.

Track record

Benchmark

18 / 22

test cases passed, vs 11 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 10/9/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

plugin87 / ux-ui-agent-skills

.claude/skills/token-build/SKILL.md

View on GitHub ↗

License MITImported 10/9/2026Version v2

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See it in action

What's inside

Skill: Token Build

Steps

Verification (definition of done)

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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