Agent skill · data analytics · sickn33
data-storytelling
Transform raw data into compelling narratives that drive decisions and inspire action.
Why this skill is useful
Provides frameworks and methodologies for effectively communicating data insights that the AI wouldn't reliably generate on its own.
What it needs
About 7k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
Data Storytelling Transform raw data into compelling narratives that drive decisions and inspire action. Do not use this skill when The task is unrelated to data storytelling You need a different domain or tool outside this scope Instructions Clarify goals, constraints, and required inputs. Apply relevant best practices and validate outcomes. Provide actionable steps and verification. Use the frameworks and examples below; verify calculations against the supplied source data. Use this skill when Presenting analytics to executives Creating quarterly business reviews Building investor presentations Writing data-driven reports Communicating insights to non-technical audiences Making recommendations based on data Core Concepts 1. Story Structure 2. Narrative Arc 3. Three Pillars Pillar Purpose Components ------------- -------- -------------------------------- Data Evidence Numbers, trends, comparisons Narrative Meaning Context, causation, implications Visuals Clarity Charts, diagrams, highlights Story Frameworks The numeric stories below are synthetic teaching examples, not observed customer outcomes or benchmarks. Replace their figures with verified input, show assumptions, and distinguish association from causation. Recalculate totals before recommending spending or forecasting impact. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/data-storytelling