SKILLEMALL.ai

AC scripting-and-storyboarding

The pre-production system — turn a video idea into a shootable, editable plan: the two-column AV script, the storyboard as a decision document, the numbered shot list, the batch-shoot plan, and the paper edit. Use when shoots are chaotic, edits drag, videos feel static ("just me talking"), someone wants to batch-film a week of content in one session, needs a storyboard but can't draw, is planning a multi-shot AI video sequence, or scripts keep running long. Uses the SCENE framework. Reads idea-generation-and-ideation + short-form-video-script or the long-form skill + brand-profile first. A words-only script plans half the video; the storyboard is a decision document, not art; the shot list grouped by setup enables batch shooting. The agent writes the plan; the HUMAN shoots/generates and judges; WoopSocial publishes. Never stages candid-as-real moments or lifts another creator's script. Distinct from short-form-video-script, talking-head-and-piece-to-camera, capcut/descript, luma.

ClawHub Agent Skills author: Social Media Skills v1.0.0 MIT-0 7 files body ≈ 1 834 tokens Open the sourceclawhub.ai analyzed 4 d ago

The pre-production system — turn a video idea into a shootable, editable plan: the two-column AV script, the storyboard as a decision document, the numbered…

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

GeneratorMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
56/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 56/100

    • 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
    • 30Running it twice. 6 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 100Tools and files. No external tools needed
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1834 tokens
    • low No test case covers injection arriving through data

    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)
    • +3Description length 994: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 10 items
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This is a content-planning skill for video scripting and storyboarding, with clear human approval boundaries and no executable install or runtime code.
    LLM: benign (high) · VirusTotal: · 23 Jul 2026