By epicsagas
Auto-compress .md, .html, .txt files read by Claude Code via PostToolUse hook.
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npx claudepluginhub epicsagas/llm-transpile --plugin llm-transpileAI-native publishing system — autonomous multi-phase workflows from ideation to EPUB/PDF. Fiction, non-fiction, technical, screenplay, poetry, game, academic, and custom genres.
Local-first memory server — hybrid BM25+vector search, vault management, lint, and launchd lifecycle for project knowledge.
3 commands + 19 auto-trigger skills + self-evolving agent harness. Less to remember, more automation.
Software engineering knowledge graph — design patterns, laws, refactorings, and code smells with graph traversal and AI-powered code analysis.
Obsidian vault lifecycle management — inbox AI classification, graph strengthening, MOC regeneration, and multi-vault sync.
Compress LLM agent instructions and code documentation markdown files through iterative section-by-section compression with compressor-reviewer loop — lossless structural optimization and lossy semantic compression modes
Token optimization for Claude Code. Automatic tool output compression (40-60% reduction), token meter in statusline, auto-compact at 70% context, structured output formats, self-building project wiki, URL ingestion, Karpathy compile pass, and semantic lint.
Open-source, local-first Claude Code plugin for token reduction, context compression, and cost optimization using hybrid RAG retrieval (BM25 + vector search), reranking, AST-aware chunking, and compact context packets.
Trim and optimize markdown files for LLM agent consumption
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Optimize documentation for AI coding assistants and LLMs. Features c7score evaluation, llms.txt generation, question-driven restructuring, and automated quality scoring. Makes your docs perfect for Claude, Copilot, and other AI tools.