Content
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A compact, well-structured skill body that names the right Haskell concepts but stays at the level of principles rather than executable guidance. It would benefit from real code examples and validation steps, and from removing the generic placeholder lines.
Suggestions
Replace generic boilerplate ("Working on haskell pro tasks", "Clarify goals, constraints, and required inputs") with Haskell-specific guidance.
Add at least one runnable GHCi/compilable Haskell example illustrating a key technique (e.g., a newtype with a typeclass instance or an STM transaction).
Turn the Approach into a workflow with explicit validation checkpoints (compile, run tests with Hspec/QuickCheck, verify laws) rather than a list of design principles.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and free of basic-concept explanations, but generic filler such as "Working on haskell pro tasks or workflows" and "Clarify goals, constraints, and required inputs" could be tightened or removed. | 2 / 3 |
Actionability | Names specific techniques and libraries (GADTs, STM, Megaparsec, Aeson) but provides no executable Haskell examples, leaving the guidance concrete yet incomplete for a code skill. | 2 / 3 |
Workflow Clarity | The numbered Approach gives a sequenced design checklist, but it lacks explicit validation checkpoints or feedback loops; "validate outcomes" is mentioned only implicitly in the generic Instructions. | 2 / 3 |
Progressive Disclosure | The skill is under 50 lines with no bundle files and uses well-organized sections (Focus Areas, Approach, Output), satisfying the simple-skill allowance for a top score. | 3 / 3 |
Total | 9 / 12 Passed |