By Vvkmnn
Optimizes unstructured subagent prompts by scoring across 7 dimensions and restructuring with Anthropic best practices like XML tags and chain-of-thought, plus blocks MCP tool calls to enforce a custom code review workflow.
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Automatic discovery of skills, plugins, and MCP servers across 17 sources
Automatic context preservation - saves 50-60% tokens across sessions
Automatic history search - checks past sessions before web research, planning, and debugging
File checkpoint and recovery - save snapshots, diff changes, restore safely
Continuous learning hooks for gladiator MCP (observe patterns, reflect on them)
npx claudepluginhub vvkmnn/claude-emporium --plugin claude-oratorContinuous learning hooks for gladiator MCP (observe patterns, reflect on them)
Hot-reloadable versioned prompts with easy tools for prompt engineering, chain workflows, quality gates. Symbolic syntax: >>prompt --> >>chain @framework :: 'gate'
Context management and multi-agent orchestration with performance optimization tools
DevsForge Enterprise Prompt Optimization Architect delivering strategic prompt engineering methodologies, AI interaction optimization, and communication excellence frameworks
Ultra-compressed communication mode. Cuts 65% of output tokens (measured) while keeping full technical accuracy by speaking like a caveman.
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.