By mlld-lang
Build and orchestrate LLM agents with mlld scripts: create tool/event/workflow agents, run parallel LLM processing on file batches or data, generate/execute SQL/code for database/CSV queries, design pipelines via LLM decisions, with LSP code intelligence, starter generators, and testing hooks.
npx claudepluginhub mlld-lang/mlld --plugin mlldBuilding LLM agents with mlld — tool agents (MCP tools), event-driven agents (routers and dispatchers), and workflow agents (stateless jobs). Use when creating agents, exposing tools, or building event-driven systems.
On-the-fly parallel LLM processing with mlld. When you need to process many files, records, or items with LLM analysis (more than ~5), compose a mlld script and execute it with `mlld -e` instead of doing things one at a time.
LLM-first design principles for mlld applications. Use when designing pipelines, refactoring complex orchestration, or hitting edge cases that keep requiring more conditionals.
Designing and building mlld orchestrators for LLM workflows. Use when creating pipelines that coordinate LLM calls, processing data at scale, or building decision-driven automation.
LLM-driven data exploration with mlld. The LLM writes SQL or code to query structured data, code executes it (zero LLM tokens), then parallel research dives deep on the filtered results. Use when the question involves complex cross-tabulation, filtering, or slicing across data sources.
Persistent memory system for Claude Code - seamlessly preserve context across sessions
Modifies files
Hook triggers on file write and edit operations
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Intelligent prompt optimization using skill-based architecture. Enriches vague prompts with research-based clarifying questions before Claude Code executes them
Streamline people operations — recruiting, onboarding, performance reviews, compensation analysis, and policy guidance. Maintain compliance and keep your team running smoothly.