SKILLEMALL.ai

BC Presentation

Makes talks, slide decks and sales pitches: a read-aloud lecture in Keynote or HTML, a cue-card HTML deck, or a pitch from product docs (value story, talking points, charcoal sketch). USE WHEN presentation, make me a deck, slides, slide deck, present on, give a talk on, keynote, speaker notes, present this, serve the deck, presenter mode, lecture, read-aloud talk, script for a talk, turn this essay or dictation into a talk, move this slide, reprocess the talk file, make that slide a diagram, find footage of the films I mention, make the animations autoplay, real book cover, real screenshot, too much white space, image too small, export to PPTX, sales pitch, sales narrative, sales deck, pitch deck, sales package, sales script, sales materials, product pitch, create a sales story, visual for this sales story, elevator pitch, value proposition, turn this into a pitch. NOT FOR images (Art), video (HyperFrames), web design (Webdesign), voice reading (ReadIt).

danielmiessler/Personal_AI_Infrastructure Agent Skills author: danielmiessler 31 files · 10 scripts body ≈ 2 370 tokens Open the sourcegithub.com↗ analyzed 28 h ago

Makes talks, slide decks and sales pitches: a read-aloud lecture in Keynote or HTML, a cue-card HTML deck, or a pitch from product docs (value story, talking…

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorPowerPointWriting and documentsMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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: 31. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "evals"

    Process rating: all ten parameters 54/100

    • 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
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 12 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 20 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2370 tokens

    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
    • +3Description length 968: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.