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BC render-creator-pip-listicle

Assemble a creator picture-in-picture product-listicle ad from a config. The creator stays full-frame for every beat (voice and lips generated together), and each product beat carries three overlays for the whole beat: a title pill, the product demo in a rounded picture-in-picture window (the brand's muted UGC clip, or its UI still or screen recording), and a product card with thumbnail, number, category and name. Hook and CTA beats show the creator with the title pill only. It builds one overlay image per beat, composites it on the creator clip, concatenates the beats and burns timed captions last. Free, deterministic assembly; the creator anchor and talking clips come from create-image-fal and create-video-fal. Use for the creator-pip-listicle format.

athina-ai/goose-skills Agent Skills author: athina-ai 6 files body ≈ 1 868 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Assemble a creator picture-in-picture product-listicle ad from a config.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorMedia and videoMarketingtype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: render-creator-pip-listicle (gooseworks-ai/goose-skills)

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: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "status"

    Process rating: all ten parameters 56/100

    • 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. 4 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 11 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1868 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 763: enough signal without eating the budget
    • +4Structure: 4 headings
    • +3Step-by-step instructions: 11 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.