AC infographic-and-data-viz
The craft of turning real data into honest, scannable, shareable infographics and charts. Use when someone wants to visualize data, make an infographic, build a chart/graph, turn a finding or stat into a visual, or fix a chart that's confusing or misleading. A great data viz makes one insight land in 3 seconds. Uses the CHART framework (chart choice, headline takeaway, honest scale, reduce to signal, tag source + accessibility). Reads brand-profile + design-and-templates first and pulls real data from data-and-original-research / analytics-and-reporting. The agent designs the spec; a design/chart tool renders it; the human approves; WoopSocial publishes the image (it does not generate media). NEVER distorts scales or fabricates a data point/source; cites source + date; accessibility required. Distinct from design-and-templates (brand design), quote-cards-and-text-graphics (a lone quote/number), data-and-original-research (originates the data), and analytics-and-reporting.
The craft of turning real data into honest, scannable, shareable infographics and charts.
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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. 5 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 100Tools and files. No external tools needed
- 100Steps. 9 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1722 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- 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 986: 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: 9 items
- +4Reference files are cited in the instructions (3 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.