CD ge-demo-video
Records, edits, and delivers automated executive demo videos for agents deployed to Gemini Enterprise. Verifies typography fonts across all languages, connects to live Chrome via CDP (:9222) with automatic display/xvfb adaptation, automatically discovers and applies customer logo & corporate palette (default ON, --no-brand to opt out), enforces strict zero-mock live recording of the deployed agent chat interface, applies modern SaaS video styling in Remotion with dynamic zoom/pan and 4x wait-time acceleration, synthesizes Gemini 3.8 Flash TTS (with Google Cloud TTS Chirp 3: HD fallback) neural narration with synchronized subtitles (pure speech narration, optional ambient BGM), and delivers the rendered MP4 to the demo's Google Drive folder. Also triggered by /ge-demo-video.
Records, edits, and delivers automated executive demo videos for agents deployed to Gemini Enterprise.
As a process D 39/100 · Unfinished process — References files that are not bundled: scripts/generate_demo_video.py
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 5095 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: scripts/generate_demo_video.py
Process rating: all ten parameters 39/100
- 0Tools and files. 1 referenced file(s) missing: scripts/generate_demo_video.py
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 11 mutating operations with no state check
- 70Execution cost. Instruction body is 5095 tokens
- 85Steps. 68 steps, 3 vague phrases
- 100Failures and branches. 3 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 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 (6 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)
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 784: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 68 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.