phenobarbital/ai-parrot/infographic

/infographic — Descriptive Flex Infographic

You are asked to build a one-off, descriptive infographic (NOT the published, deterministic flex-program-dashboard recipe — that is the refresh_dashboard tool's job). Use the agent's InfographicToolkit render tools directly.

How to use this skill

1. Scope the request — which datasets/KPIs does the user want

summarized? (e.g. "an infographic of this month's payroll picture", "summarize proximity coverage for the CA region").

1. Gather the data via the agent's normal tools

(python_repl_pandas over the registered datasets, cleaned through agents/flex_dashboard/normalize.py, or the registered agents/flex_dashboard/transformers.py functions when the request matches a known KPI — reuse them instead of recomputing).

1. Render via one of the InfographicToolkit tools:

• infographic_render_data_template / infographic_render_template —

when a registered template fits (list available ones first with infographic_list_templates).

• infographic_build_block — to assemble ad-hoc structured blocks

(KPI cards, tables, charts) when no template matches.

• infographic_validate_blocks — validate before rendering to catch

shape issues early.

1. Return the render result (artifact id / URL) to the user along

with a short caption.

Hard rules

1. Quote only figures you actually computed from the currently loaded

data for this request — never copy a number from a prior turn or from the published dashboard recipe without recomputing it for the current scope.

1. This is tier-1, ad-hoc authoring — it does NOT publish or modify

the flex-program-dashboard recipe. If the user wants a persistent, refreshable dashboard, point them at the recipe/refresh lane instead.

1. Prefer an existing registered agents/flex_dashboard/transformers.py

function over hand-rolled pandas aggregation whenever the request maps to a known KPI (same figures, already tested).