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BF figma-use-figjam

This skill helps agents use Figma's use_figma MCP tool in the FigJam context. Can be used alongside figma-use which has foundational context for using the use_figma tool.

The skillemall take

This skill teaches agents to work with Figma MCP through FigJam—a supplement to the base figma-use. It promises context for use_figma within the FigJam environment.

The folder contains 14 files, but broken_references flags dead links. Quality scores 76, process 32—both low. Model runs didn't happen, sandbox testing skipped. No critical findings, yet code quality clearly suffered from inattention.

Use it if you already have figma-use and specifically need FigJam logic. Otherwise start with the base skill. Install if you're willing to verify links work in your setup.

anomalyco/opencode Claude Code author: anomalyco MIT 14 files body ≈ 1 658 tokens Open the sourcegithub.com↗ analyzed 5 d ago

This skill helps agents use Figma's usefigma MCP tool in the FigJam context.

As a process F 32/100 · No process to follow — References files that are not bundled: ../figma-use/SKILL.md, ../figma-use/references/gotchas.md, ../figma-use/references/api-reference.md

ProcedureFigmaDesignAI and agentstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
32/100
No process to follow
References files that are not bundled: ../figma-use/SKILL.md, ../figma-use/references/gotchas.md, ../figma-use/references/api-reference.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

The same skill appears in 1 more place: 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: 14. 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-use/references/gotchas.md
  • warning missing-ref reference to a missing file: ../figma-use/references/api-reference.md

Process rating: all ten parameters 32/100

Will not run. References files that are not bundled: ../figma-use/SKILL.md, ../figma-use/references/gotchas.md, ../figma-use/references/api-reference.md
  • 0Tools and files. 3 referenced file(s) missing: ../figma-use/SKILL.md, ../figma-use/references/gotchas.md, ../figma-use/references/api-reference.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 33 mutating operations with no state check
  • 85Steps. 19 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1658 tokens
  • 100Progress reporting. Reports progress

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 170: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (13 of 13)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.