Aggregation Helper - Auto-activating skill for Data Analytics. Triggers on: aggregation helper, aggregation helper Part of the Data Analytics skill category.
33
0%
Does it follow best practices?
Impact
97%
1.02xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/12-data-analytics/aggregation-helper/SKILL.mdQuality
Discovery
0%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This description is critically weak across all dimensions. It reads as an auto-generated stub with no concrete actions, no natural trigger terms, no 'Use when' guidance, and no distinguishing characteristics. It would be nearly impossible for Claude to correctly select this skill from a pool of alternatives.
Suggestions
Add specific concrete actions the skill performs, e.g., 'Computes sums, averages, counts, and group-by aggregations on tabular datasets.'
Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user asks to summarize, aggregate, group, pivot, or roll up data, or mentions terms like sum, average, count, or group by.'
Remove the duplicated trigger term 'aggregation helper' and replace with diverse natural-language keywords users would actually say, such as 'aggregate', 'summarize data', 'totals', 'group by column', 'rollup'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description says 'Aggregation Helper' and 'Data Analytics' but provides no concrete actions. There is no indication of what specific tasks it performs—no verbs like 'computes', 'summarizes', 'groups', etc. | 1 / 3 |
Completeness | The description fails to answer both 'what does this do' and 'when should Claude use it'. There is no 'Use when...' clause and no meaningful explanation of capabilities beyond the generic label 'Data Analytics'. | 1 / 3 |
Trigger Term Quality | The only trigger terms listed are 'aggregation helper' repeated twice, which is not a natural phrase a user would say. Missing natural terms like 'sum', 'group by', 'average', 'aggregate data', 'pivot', 'rollup', etc. | 1 / 3 |
Distinctiveness Conflict Risk | The description is extremely generic—'Data Analytics' could overlap with countless other skills. Nothing distinguishes this from any other data-related skill, and the vague 'Aggregation Helper' label provides minimal differentiation. | 1 / 3 |
Total | 4 / 12 Passed |
Implementation
0%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is an empty template with no substantive content. It repeatedly references 'aggregation helper' without ever defining what it means, providing examples, or offering any actionable guidance. Every section contains only generic boilerplate that could apply to any skill topic.
Suggestions
Add concrete SQL aggregation examples (e.g., GROUP BY queries, window functions, HAVING clauses) with executable code that Claude can adapt to user requests.
Define what 'aggregation helper' actually covers — specify the types of aggregations (sum, count, avg, pivot tables, rollups) with input/output examples for each.
Include a workflow for common aggregation tasks, such as: 1) Identify the grouping columns, 2) Choose aggregation functions, 3) Write the query, 4) Validate results against expected row counts.
Remove all generic boilerplate sections ('When to Use', 'Example Triggers', 'Capabilities') that provide no actionable information and replace them with actual technical content.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is entirely filler and boilerplate. It explains nothing Claude doesn't already know, repeats the phrase 'aggregation helper' excessively, and provides zero substantive information about how to actually perform aggregation tasks. | 1 / 3 |
Actionability | There are no concrete code examples, commands, SQL queries, or executable guidance of any kind. The skill describes capabilities in abstract terms ('provides step-by-step guidance') without actually providing any guidance. | 1 / 3 |
Workflow Clarity | No workflow, steps, or process is defined. The skill claims to provide 'step-by-step guidance' but contains zero steps. There are no validation checkpoints or sequences of any kind. | 1 / 3 |
Progressive Disclosure | The content is a flat, uninformative document with no references to detailed materials, no examples to link to, and no meaningful structure beyond generic section headers that contain no real content. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
c8a915c
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.