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SkillsMP ha recopilado 5 skills de massgen/massgen-refinery. Abre una skill para revisar su origen y sus detalles.
Mostrando 5 de 5 skills recopiladas.
Quick one-shot evaluation of work against quality criteria. Generates criteria, runs the round-evaluator, and presents the verdict. Lighter than /refine — does not auto-improve, just evaluates. Use for pre-PR quality checks or getting a critical assessment.
Idioma del texto original: inglés
Launch a MassGen multi-agent run. Multiple LLM backends (codex, gemini, claude, grok) collaborate on a task via voting and consensus. Runs in Docker containers by default.
Idioma del texto original: inglés
Run a MassGen-style quality refinement loop. Generates eval criteria, produces/improves answers with subagent help, regression-guards before submission, then evaluates with round-evaluator and trace-analyzer in parallel. Invoke with /refine.
Idioma del texto original: inglés
Launch parallel MassGen step mode processes — the lead manages all background tasks directly, tracks answers/votes, detects consensus, and synthesizes the result.
Idioma del texto original: inglés
Analyze media files (images, video, audio) using AI vision and audio models with a critical-first lens. Use for output-first verification — render your deliverable, then read_media to see what it actually looks like. Distinguishes fundamental issues from…
Idioma del texto original: inglés