SKILLEMALL.ai

CD figma-swiftui

SwiftUI ↔ Figma translation. Use whenever the user mentions Swift, SwiftUI, iOS, iPhone, or iPad — in EITHER direction — translating a Figma design into SwiftUI (design → code), or pushing SwiftUI views / screens / tokens back into a Figma file (code → design). Triggers on phrases like 'implement this Figma design in SwiftUI', 'build this screen in Swift', 'push this SwiftUI view to Figma', 'mirror my Swift code in a Figma file', or whenever a Figma URL appears alongside `.swift` files / an `.xcodeproj`. Routes to a direction-specific reference doc; loads alongside `figma-use` for the code → design path.

The skillemall take

The skill promises bidirectional translation between Figma and SwiftUI: design to code and back. Triggers on Swift, iOS mentions or Figma URLs alongside `.swift` files. Three files in the folder, but internal references are broken—the docs it points to don't load. Quality score 72, process score 42. No critical bugs found, but missing reference documents mean the agent recognizes requests but can't execute them.

Don't install it. A translator without a dictionary wastes config space.

sst/opencode Claude Code author: sst MIT 3 files body ≈ 829 tokens Open the sourcegithub.com↗ analyzed 5 d ago

SwiftUI ↔ Figma translation.

As a process D 42/100 · Unfinished process — References files that are not bundled: ../figma-use/SKILL.md, ../figma-generate-design/SKILL.md, ../figma-generate-library/SKILL.md

GeneratorFigmaDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
42/100
Unfinished process
References files that are not bundled: ../figma-use/SKILL.md, ../figma-generate-design/SKILL.md, ../figma-generate-library/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: figma-swiftui (anomalyco/opencode)

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../figma-use/SKILL.md
  • warning missing-ref reference to a missing file: ../figma-generate-design/SKILL.md
  • warning missing-ref reference to a missing file: ../figma-generate-library/SKILL.md

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: ../figma-use/SKILL.md, ../figma-generate-design/SKILL.md, ../figma-generate-library/SKILL.md
  • 0Tools and files. 3 referenced file(s) missing: ../figma-use/SKILL.md, ../figma-generate-design/SKILL.md, ../figma-generate-library/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 6 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 829 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 611: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 6 items
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.