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code-to-figma

CI-anchored code-to-Figma token export pipeline for keeping Figma aligned with the codebase. Use when the user asks to "sync code to Figma", "export design tokens to Figma", "set up a Figma sync pipeline", "wire up the tokens-sync-to-figma plugin", "generate a figma-export.json", "create a page walker", or "keep Figma up to date with the codebase".

79

Quality

100%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a model of progressive disclosure: concise overview, executable commands with validation checkpoints, and a clean reference table pointing to genuine supporting files. It assumes competence and adds only project-specific, non-obvious guidance.

DimensionReasoningScore

Conciseness

Lean and efficient throughout: it assumes Claude's competence, uses compact tables and command lists, and never explains basic concepts; every section earns its tokens (e.g. 'node not pnpm in CI' explains only the non-obvious redirect-corruption reason).

5 / 5

Actionability

Provides fully executable, copy-paste-ready commands — `node scripts/tokens-to-figma/convert-to-dtcg.mjs`, `jq '.sections | length'`, `gh api gists/<id> --jq '.updated_at'` — with specific paths and concrete validation outputs covering common cases.

5 / 5

Workflow Clarity

Each command path is a clearly numbered sequence with explicit validation checkpoints and feedback loops — e.g. sync validates `jq '.sections | length'` before pushing, and update runs `jq -e '.sections | type == "array"'`; the status command provides a full health checklist.

5 / 5

Progressive Disclosure

SKILL.md is a clear overview with a well-signaled Reference Files table mapping each task to one of five real, one-level-deep reference files (all present in references/); detailed specifications are correctly split out of the body.

5 / 5

Total

20

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is exemplary: it states concrete capabilities, supplies a rich set of natural trigger phrases, and explicitly covers both what and when. It is clearly distinguishable from adjacent skills and free of fluff.

DimensionReasoningScore

Specificity

Names multiple concrete actions — a CI-anchored pipeline, a walker that 'reads compiled HTML and CSS, resolves class → token bindings', and pushing 'a structured JSON artifact to a GitHub Gist' — covering the full export flow comprehensively.

5 / 5

Completeness

Explicitly answers both what (CI-anchored code-to-Figma token export pipeline keeping Figma aligned with the codebase) and when via a concrete 'Use when the user asks to ...' clause listing specific trigger phrases.

5 / 5

Trigger Term Quality

Includes comprehensive natural trigger phrases users would actually say — 'sync code to Figma', 'export design tokens to Figma', 'set up a Figma sync pipeline', 'wire up the tokens-sync-to-figma plugin', 'generate a figma-export.json', 'create a page walker' — with synonyms and artifact names.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear, narrow niche — one-directional code→Figma token export via a Gist consumed by a named plugin — with distinct triggers and minimal overlap risk versus reverse-direction or direct-edit workflows.

5 / 5

Total

20

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 5 missing, 4 deeper-than-1-level

Warning

Total

15

/

16

Passed

Repository
t4sh/skills4sh
Reviewed

Table of Contents

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