data-story-outliner

Data Story Outliner - Auto-activating skill for Data Analytics. Triggers on: data story outliner, data story outliner Part of the Data Analytics skill category.

1.02x

Quality

Does it follow best practices?

Impact

97%

1.02x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/12-data-analytics/data-story-outliner/SKILL.md

Evaluation results

100%

13%

Customer Retention Analysis: Building a Data Story

Step-by-step data story structure

Criteria

Without context

With context

Sequential steps

100%

SQL query included

100%

SQL is production-ready

90%

100%

Visualization type specified

100%

Business intelligence framing

100%

Output validation step

80%

100%

Statistical or analytical method

100%

Narrative arc

100%

Industry best practices reference

100%

No pseudocode only

100%

Without context: $0.4339 · 2m 15s · 14 turns · 15 in / 8,730 out tokens

With context: $0.5114 · 2m 30s · 23 turns · 285 in / 8,952 out tokens

95%

-5%

Feature Experiment Results: From Data to Decision

Statistical analysis with output validation

Criteria

Without context

With context

Statistical method applied

100%

Output validation included

100%

SQL for data extraction

100%

Business intelligence framing

100%

Visualization for findings

100%

50%

Step-by-step structure

100%

Production-ready SQL

100%

Industry best practice for stats

100%

Recommendation step

100%

No unvalidated assumptions

100%

Without context: $0.4470 · 2m 42s · 11 turns · 12 in / 10,409 out tokens

With context: $0.6161 · 2m 57s · 24 turns · 56 in / 11,536 out tokens

97%

-3%

Quarterly Business Review: End-to-End Data Story

Full-coverage production analytics story

Criteria

Without context

With context

SQL domain covered

100%

Visualization domain covered

100%

Statistical analysis domain covered

100%

Business intelligence domain covered

100%

Production-ready SQL quality

100%

Step-by-step outline structure

100%

Industry best practice in SQL

100%

Validation or quality check

100%

62%

Executive-ready narrative

100%

Recommendation present

100%

No placeholder-only output

100%

Without context: $0.5604 · 2m 52s · 19 turns · 19 in / 11,127 out tokens

With context: $0.6344 · 3m 3s · 26 turns · 322 in / 11,166 out tokens

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 0c08951

Evaluated: 17 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Customer Retention Analysis: Building a Data Story Feature Experiment Results: From Data to Decision Quarterly Business Review: End-to-End Data Story

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