SKILLEMALL.ai

AB excalidraw-use

Place existing images onto an Excalidraw whiteboard, turn a slide deck into clean per-slide images first, and inspect what is inside a .excalidraw file. Use whenever someone mentions Excalidraw, a whiteboard or canvas, a .excalidraw file, 白板 or 画板 — especially "put these screenshots on my board", "add my old workshop images to the canvas", "space them out so I don't have to adjust spacing by hand", "turn these slides into images I can draw on", or "what's in this scene file". Also use when a talk or workshop is delivered by hand-drawing over screenshots on a shared canvas, or when someone needs a pick tray of many images to choose from. Not for generating a diagram from a text description — that is a different job.

daymade/claude-code-skills Agent Skills author: daymade 8 files body ≈ 1 982 tokens Open the sourcegithub.com analyzed 2 h ago

Place existing images onto an Excalidraw whiteboard, turn a slide deck into clean per-slide images first, and inspect what is inside a .excalidraw file. Use…

As a process B 72/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorPlaywrightSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
99/100
safety, quality, tests
Safety 60%
100
Quality 40%
98
Run on models
none yet
Process rating
B
72/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

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: 8. 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 72/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 6 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Steps. 5 steps
    • 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
    • 100Execution cost. Instruction body is 1982 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

    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 724: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 5 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 4 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 98.