Identify the next 100-card batch and compute target and rank ranges.
npx skills add https://github.com/Tomoda826/mtg-goldfisher --skill auto-next-batch
Please help me install this Agent Skill. Skill: auto-next-batch Source: https://github.com/Tomoda826/mtg-goldfisher/tree/main/.claude/skills/auto-next-batch Command: npx skills add https://github.com/Tomoda826/mtg-goldfisher --skill auto-next-batch
The Automated Scenario Pipeline Manager identifies the next 100-card batch, extracts RAW mechanics only, and orchestrates AI-driven scenario design to replace manual generation with a quality-first automated workflow.
Identify the next 100-card batch and start the end-to-end AI-driven design pipeline.
High-intent search queries and answers about installing and using this skill.
Automated scenario design works by identifying the next 100-card batch, extracting RAW mechanics, and chunking cards into 10-card groups. It validates contexts and produces a manifest to orchestrate parallel AI agents for consistent scenario set generation.
Safely chunking card batches for automated scenario generation requires dividing the 100-card batch into 10-card groups and performing context safety checks. This process ensures reliable, auditable outputs before producing a manifest for final AI design.
Yes, you can use parallel agents to generate scenario sets from existing card datasets. The workflow computes target and rank ranges from your results/scenarios files and coordinates parallel AI agents with post-run validation to produce consistent outputs.
Extracting RAW mechanics from a local scenarios dataset is handled by an automated pipeline that identifies the next 100-card batch and isolates the mechanics. This replaces manual extraction and prepares the data directly for coordinated AI design.
Yes, automated scenario design requires manifest tracking for quality checks to ensure reliable and auditable outputs. The manifest tracks the 10-card chunking process and validates contexts before final AI design execution.
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