{"data":{"full_name":"KingTurbo/auto-prompt-engineering","name":"auto-prompt-engineering","description":"A lightweight Python-based prompt-engineering pipeline for Google Gemini. Given a raw user request, it orchestrates five specialized LLM calls—Role, Task, Specification, Context, and Examples—to build a fully structured prompt.","stars":0.0,"forks":0.0,"language":"Python","license":"CC0-1.0","archived":0.0,"subcategory":"gemini-prompt-workbenches","last_pushed_at":"2025-06-22T16:12:37+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":2.0,"adoption_score":0.0,"maturity_score":11.0,"community_score":0.0,"quality_score":13.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-15T04:41:58.893053+00:00"}}