SKILLEMALL.ai

BC figma-design-to-code

**MANDATORY prerequisite** — you MUST invoke this skill BEFORE calling the `get_design_context` Figma MCP tool. You MUST trigger this skill whenever the user wants to implement, build, port, or code up a Figma design as code. Example prompts (not exhaustive) are 'implement this Figma design', 'build this screen from Figma', 'turn this Figma into code', 'design to code'. This skill provides critical instructions and steps to the agent on how to correctly implement Figma designs in code and must NOT be skipped.

The skillemall take

The skill intercepts Figma-to-code requests and forces the agent to run its instructions before calling Figma MCP. Promises critical steps for correct design implementation.

The file contains 864 tokens of instructions, but no model runs or sandbox tests. Quality score 80, process score 61—the gap suggests the logic is documented but unclear how it behaves in practice. No critical errors, linter is clean.

Worth installing if you frequently ask the agent to convert designs to code and want it to read instructions first. Without a test run, though, it's unclear whether the agent will actually follow the skill or skip it.

sst/opencode Claude Code author: sst MIT 1 file body ≈ 864 tokens Open the sourcegithub.com↗ analyzed 5 d ago

MANDATORY prerequisite — you MUST invoke this skill BEFORE calling the getdesigncontext Figma MCP tool.

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

ProcedureFigmaDesignSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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-design-to-code (anomalyco/opencode)

How to improve

    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: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 61/100

    • 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
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 100Steps. 12 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 864 tokens
    • 100Running it twice. No mutating operations

    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 514: enough signal without eating the budget
    • +4Structure: 4 headings
    • +3Step-by-step instructions: 12 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.