AF ia-presenter
Write, lint, package and theme iA Presenter presentations. Use when the user mentions iA Presenter, wants slides / a deck / a talk written in Markdown with speaker notes, wants to turn notes or an article into a presentation, set a theme, add images, videos, tables, charts or layouts to slides, or customize fonts/colors via a custom iA Presenter theme (template.json, presets.json, CSS). Produces .iapresenter bundles that open directly in the app. Verified against iA Presenter 2.0.2 on macOS.
Write, lint, package and theme iA Presenter presentations.
As a process F 44/100 · Will not run — References files that are not bundled: assets/photo.jpg
How to improve
- 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: 17. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: assets/photo.jpg
Process rating: all ten parameters 44/100
- 0Tools and files. 1 referenced file(s) missing: assets/photo.jpg
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 70When it triggers. States when to use, but not when not to
- 100Steps. 48 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3032 tokens
- low 11 top-level sections: this looks like several domains in one skill
- 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +2Single-language instructions
- +3Description length 496: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 48 items
- +3Output format is stated explicitly
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (7 of 7)
- +3All 4 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.