By athola
Build a multi-language code knowledge graph and annotations from your codebase via AST analysis, then run adaptive gauntlet challenges with scoring, spaced repetition, and progress tracking to master business logic, patterns, and data flows. Accelerate structured onboarding for new developers across five stages.
npx claudepluginhub athola/claude-night-market --plugin gauntletAdd or edit a knowledge annotation
Rebuild the knowledge base from the current codebase
Build, search, and query the code knowledge graph
Start or resume a guided onboarding path
Show challenge accuracy stats, weak areas, and streak
Run an ad-hoc gauntlet challenge session (5 questions, random scope)
Run a gauntlet challenge session with adaptive difficulty. Tests codebase understanding through multiple choice, code completion, trace exercises, and more.
Add or edit knowledge annotations. Capture tribal knowledge, business context, and rationale that cannot be inferred from code.
Analyze a codebase and build a knowledge base of business logic, architecture, data flow, and engineering patterns. The foundation for gauntlet challenges and agent integration.
Build or incrementally update the code knowledge graph for a codebase. Uses Tree-sitter for multi-language AST parsing and stores nodes/edges in SQLite.
Search the code knowledge graph by function, class, or type name using FTS5 full-text search with query-aware kind boosting.
Guided onboarding path through five stages: big picture, core domain, interfaces, patterns, and hardening.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Executes bash commands
Hook triggers when Bash tool is used
Uses power tools
Uses Bash, Write, or Edit tools
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