aRustyDev / aRustyDev/agents

feedback(/create-lang-conversion-skill): from convert-python-fsharp creation

Aperta
#267 0 commenti 0 reazioni 1 assegnatario Vedi su GitHub

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Dal 29/12/2025.

Lingua principale
Jupyter Notebook
Stelle
8
Fork
3
Metriche di merge delle PR
Nessuna PR unita negli ultimi 30g

Descrizione

Feedback: /create-lang-conversion-skill

Context
  • Task: Creating convert-python-fsharp skill
  • Used for: Complete workflow guidance from validation through PR creation
  • Related PR: #266
What Worked Well
  1. Comprehensive workflow structure: The step-by-step process from argument validation → research → creation → validation → commit is very clear and complete
  2. 8 Pillars validation: Excellent addition in Step 2.5 - validates both source and target language skills have adequate coverage before creating conversion skill
  3. Content requirements table: Specific minimums for each section (e.g., "10 entries" for Quick Reference, "5-10 patterns" for Idiom Translations) provide clear quality targets
  4. Example complexity guide: The table with lines/concepts/purpose for Simple/Medium/Complex examples is very helpful
  5. Self-review mechanism: Step 10 creates a feedback loop that improves the ecosystem over time
Suggested Improvements
  • Add guidance on when to use WebSearch vs relying solely on existing skills - I used WebSearch for Python-F# specifics and found Fable.Python transpiler info
  • Include template for "Limitations" section - useful when proceeding with Yellow/Red pillar coverage
  • Add suggestion to check for transpilers/interop tools (e.g., Fable.Python for F# → Python) as they provide valuable insights for the reverse direction
  • Consider adding a "Research checklist" for Step 3 to ensure consistent coverage areas
  • Add guidance on handling .NET/CLR-based target languages (F#, C#) vs other ecosystems
Additional Notes

The command workflow is excellent overall. The 8 Pillars validation is particularly valuable - it caught that F# skill lacks a dedicated module system section (scattered in examples). This informed the conversion skill's content.

The progression from reading foundation skills → validation → research → creation → validation → feedback creates a robust quality assurance process.

Relates to #211


Feedback from: /create-lang-conversion-skill python fsharp

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