BF drivethru-graphic-artist
Graphic-artist tasks for Bacon & Co decorations — (1) generate product mockups by compositing a decoration (logo/graphic) onto a blank product photo (deterministic; no model-generated pixels; self-reviewed), (2) make a DTF decoration "production-ready" / "drop the art" — take the real thumbnail, size it to the decoration location, render at 300 DPI, upload the DTF production file, set size + colors, and create a print sample, driving the decoration toward the 'done' state via the drivethru_mcp decoration_* tools, and (3) clean up degraded / AI-generated flat art before production — deterministically snap it back to its true inks, rebuild faded/broken/jagged outlines, and re-render crisp at print size (fixes the "looks fine as a thumbnail, falls apart at 13 inches" problem). Use whenever the user wants to see a logo on a garment, place artwork on a blank, remove an image background (knock a solid color out of flat art, or segment a photographic subject), tune a print's size/position, clean up / fix / "drop for production" a low-quality or AI-generated logo (ghosting, haze, jagged or fading outlines, soft edges), OR make a decoration production-ready / drop art / get a DTF decoration to done.
Graphic-artist tasks for Bacon & Co decorations — (1) generate product mockups by compositing a decoration (logo/graphic) onto a blank product photo…
As a process F 58/100 · Will not run — References files that are not bundled: assets/decoration_guide.png, references/decoration_spec_sheet.pdf
How to improve
- Shorten the description to 1024 characters.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- 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: 24. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-longdescription is 1209 chars, limit 1024 - warning
body-longSKILL.md body ≈ 6383 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: assets/decoration_guide.png - warning
missing-refreference to a missing file: references/decoration_spec_sheet.pdf - note
frontmatter-keyunknown frontmatter key "emoji"
Process rating: all ten parameters 58/100
- 0Tools and files. 2 referenced file(s) missing: assets/decoration_guide.png, references/decoration_spec_sheet.pdf
- 0Result and completion. Does not say what the result is
- 30Running it twice. 24 mutating operations with no state check
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 6383 tokens
- 85Steps. 32 steps, 3 vague phrases
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 15 top-level sections: this looks like several domains in one skill
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)
- +3Description length 1209: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -31 of 12 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +4Structure: 20 headings
- +3Step-by-step instructions: 32 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (7 of 7)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 42.