SKILLEMALL.ai

AD Remotion

Best-practice guidance for building, editing, and debugging Remotion video projects with React and TypeScript. Use this skill for Remotion compositions, animations, transitions, media playback, captions, text effects, charts, Tailwind styles, Lottie, Three.js or React Three Fiber scenes, dynamic metadata, asset loading, video/audio duration probes, frame extraction, and render-safe timing or sequencing.

ClawHub Agent Skills author: clawbus v1.0.1 MIT-0 34 files body ≈ 1 189 tokens Open the sourceclawhub.ai analyzed 21 h ago

Best-practice guidance for building, editing, and debugging Remotion video projects with React and TypeScript.

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorSoftware developmentMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
D
49/100
Unfinished process
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: 34. 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)

    Process rating: all ten parameters 49/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (Remotion) differs from the folder (remotion-skill)
    • 100Tools and files. No external tools needed
    • 100Steps. 4 steps
    • 100Execution cost. Instruction body is 1189 tokens
    • 100Running it twice. No mutating operations

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 406: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 4 items
    • +4Has examples (0 code blocks)
    • +4Reference files are cited in the instructions (27 of 28)

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

    External checks

    ClawHub: clean
    This is a Remotion guidance skill with examples for video projects; its network and package-install examples are disclosed and fit that purpose.
    LLM: benign (high) · VirusTotal: · 9 Jul 2026