forecast-generator
Forecast Generator - Auto-activating skill for Data Analytics. Triggers on: forecast generator, forecast generator Part of the Data Analytics skill category.
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill forecast-generatorOverall
score
17%
Does it follow best practices?
Validation for skill structure
Activation
0%This description is severely underdeveloped, consisting only of the skill name, a duplicated trigger term, and a category label. It provides no information about what the skill actually does, what types of forecasts it generates, or what data it works with. Claude would have no meaningful basis to select this skill over any other analytics-related skill.
Suggestions
Add specific capabilities describing what the skill does, e.g., 'Generates time series forecasts, predicts future trends from historical data, creates projection models for sales/revenue/demand'
Include a 'Use when...' clause with natural trigger terms users would say, such as 'predict', 'projection', 'future trends', 'forecast sales', 'time series analysis', 'what will happen'
Specify the types of forecasts supported (e.g., financial, demand, weather) and input data formats to distinguish from other analytics skills
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description only names the skill ('Forecast Generator') and category ('Data Analytics') without describing any concrete actions. There are no specific capabilities listed like 'generate time series forecasts', 'predict trends', or 'analyze historical data'. | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond the name, and the 'when' clause is just the skill name repeated. There is no explicit guidance on when Claude should select this skill or what problems it solves. | 1 / 3 |
Trigger Term Quality | The only trigger terms listed are 'forecast generator' repeated twice, which is the skill name itself rather than natural user language. Missing common variations users would say like 'predict', 'projection', 'future trends', 'time series', 'forecasting'. | 1 / 3 |
Distinctiveness Conflict Risk | The generic 'Data Analytics' category and lack of specific triggers means this could easily conflict with any other analytics-related skill. Nothing distinguishes it from general data analysis, reporting, or visualization skills. | 1 / 3 |
Total | 4 / 12 Passed |
Implementation
0%This skill content is essentially a placeholder template with no actual instructional value. It contains only meta-descriptions of what a forecast generator skill might do, without any concrete guidance on forecasting methods, statistical techniques, code examples, or tool usage. The content fails to teach Claude anything it doesn't already know.
Suggestions
Add concrete, executable code examples for common forecasting methods (e.g., time series with pandas, ARIMA, exponential smoothing)
Include a clear workflow with steps: data preparation → model selection → fitting → validation → output generation
Provide specific SQL queries for extracting time-series data and examples of visualization outputs
Remove all generic boilerplate ('provides automated assistance', 'follows best practices') and replace with actual forecasting techniques and parameters
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is padded with generic boilerplate that provides no actual value. Phrases like 'provides automated assistance' and 'follows industry best practices' are vague filler that Claude doesn't need. | 1 / 3 |
Actionability | There is zero concrete guidance - no code, no commands, no specific examples of how to actually generate forecasts. The content describes what the skill claims to do rather than instructing how to do it. | 1 / 3 |
Workflow Clarity | No workflow is provided whatsoever. There are no steps, no sequence, and no validation checkpoints for forecast generation tasks. | 1 / 3 |
Progressive Disclosure | The content is a monolithic block of generic text with no references to detailed materials, no links to examples, and no structured navigation to actual forecast generation techniques. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
69%Validation — 11 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
description_trigger_hint | Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...') | Warning |
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
body_steps | No step-by-step structure detected (no ordered list); consider adding a simple workflow | Warning |
Total | 11 / 16 Passed | |
- Reviewed
Table of Contents
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