Content
32%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill reads more like a comprehensive blog post or textbook chapter on data storytelling than an actionable skill for Claude. It is heavily padded with illustrative examples, general writing advice, and presentation tips that Claude already knows, while lacking a clear operational workflow for how to actually approach a data storytelling task. The instructions section is generic and the bulk of the content is templates that could be significantly condensed or moved to separate reference files.
Suggestions
Replace the vague Instructions section with a concrete, sequenced workflow: e.g., 1) Identify audience and goal, 2) Select framework based on data type, 3) Draft narrative using chosen structure, 4) Validate that key insight is front-loaded, 5) Add visualization recommendations.
Move the detailed frameworks, templates, and writing techniques into separate bundle files (e.g., frameworks.md, templates.md, writing-tips.md) and reference them from the main skill with brief descriptions of when to use each.
Cut the transition phrases, do's/don'ts, and handling uncertainty sections entirely — these are general communication skills Claude already possesses and add significant token overhead without unique value.
Provide the referenced 'resources/implementation-playbook.md' as an actual bundle file, or remove the reference to avoid broken navigation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~300+ lines, with extensive template examples, writing tips, transition phrases, and best practices that Claude already knows. Much of this content (narrative arc structures, 'do's and don'ts' of presentations, transition phrases) is general knowledge that doesn't need to be spelled out. The frameworks, while illustrative, are padded with fictional data that inflates token count without adding proportional value. | 2 / 5 |
Actionability | The skill provides concrete frameworks and templates with example content, but the guidance is more illustrative than executable. The matplotlib code snippet is the only truly executable piece. Most content is markdown templates showing what a good data story looks like rather than specific steps Claude should take to create one. The instructions section is extremely vague ('Apply relevant best practices and validate outcomes'). | 3 / 5 |
Workflow Clarity | The Instructions section is vague and generic ('Clarify goals, constraints, and required inputs. Apply relevant best practices and validate outcomes.'). There is no clear workflow for how Claude should approach a data storytelling task — no sequenced steps for gathering data, choosing a framework, drafting, validating, or iterating. The narrative arc and story structure sections describe output structure but not the process to create it. | 2 / 5 |
Progressive Disclosure | The skill references 'resources/implementation-playbook.md' but no bundle files are provided, making this reference unverifiable and potentially broken. The massive amount of content (frameworks, templates, visualization techniques, writing techniques, best practices) is all inlined in a single file when much of it could be split into separate reference files. The structure has headers but the sheer volume undermines navigability. | 2 / 5 |
Total | 9 / 20 Passed |