SKILLEMALL.ai
GitHub ↗ RU Sign in

AF brand-mood-board-maker

Turn a brand brief into a mood board spec — palette with hex, display + body type pairing, 6-12 image tile prompts, and a one-sentence brand essence. Maps the brand to a Jungian archetype and picks a board layout before generating tiles. Trigger when the user says "make a mood board", "build a brand mood board", "pull together visual direction", "brand vibes for", or "aesthetic board for".

genspark Agent Skills author: Genspark 1 file body ≈ 2 110 tokens Open the sourcegenspark.ai↗ analyzed 4 d ago

As a process F 68/100 · Will not run — References files that are not bundled: assets/archetype_visual_cues.md, assets/layout_templates.md, assets/tile_prompt_library.md

GeneratorMarketingtype and topics are labelled automatically from the skill text
Runs in: Genspark 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
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
F
68/100
Will not run
References files that are not bundled: assets/archetype_visual_cues.md, assets/layout_templates.md, assets/tile_prompt_library.md
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/archetype_visual_cues.md
  • warning missing-ref reference to a missing file: assets/layout_templates.md
  • warning missing-ref reference to a missing file: assets/tile_prompt_library.md

Process rating: all ten parameters 68/100

Will not run. References files that are not bundled: assets/archetype_visual_cues.md, assets/layout_templates.md, assets/tile_prompt_library.md
  • 0Tools and files. 3 referenced file(s) missing: assets/archetype_visual_cues.md, assets/layout_templates.md, assets/tile_prompt_library.md
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 52 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2110 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 392: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 52 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

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