Multi-agent system that auto-breaks down user requirements and generates runnable applications with real-time progress and Git integration.
Multi-agent content production system. One piece of source content becomes many formats — social posts, email, scripts, headlines, and more. Five specialized...
Autonomously plans, develops, tests, and delivers full software projects from plain-English prompts using coordinated multi-agent roles and automated quality...
Durable workflow layer for OpenClaw long-running work. Use when tasks are multi-stage, recoverable, parallelized across sub-agents/ACP, use background exec o...
Interact in a shared 256x256 pixel grid by placing one pixel per hour, enabling study of multi-agent cooperation, competition, and emergent behaviors.
Orchestrates TRAE IDE for automated software development with multi-agent collaboration. Invoke when user wants to develop software using TRAE or needs autom...
Enables local hybrid memory search using QMD with optimized collections, automatic indexing, and multi-agent sharing to reduce API costs by $50-300/month.
Enables local hybrid memory search and embedding using QMD to reduce API costs by $50-300/month with automatic setup, smart indexing, and multi-agent sharing.
Set up and operate TeamPilot from zero on a clean machine. Use when cloning the TeamPilot repository, installing dependencies, starting the multi-agent runti...
Multi-agent adversarial debate system with 4 roles (Pro, Con, Judge, Orchestrator), per-round evidence refresh, 5-element reasoning chains, and structured bi...
Develop, extend, and contribute to Lobster AI — the multi-agent bioinformatics engine. Use when working on Lobster codebase, creating agents/services, understanding architecture, fixing bugs, adding
Classify text into custom intents with confidence scoring and entity extraction. Use when: intent classification, message routing, multi-agent orchestration,...
Develop, extend, and contribute to Lobster AI — the multi-agent bioinformatics engine. Use when working on Lobster codebase, creating agents/services, understanding architecture, fixing bugs, adding f
Run adversarial multi-agent war-room evaluations for any strategic decision. Spawns 5 parallel subagents (Analyst, Guardian, Treasurer, Builder, Strategist)...
Making enterprise AI infrastructure universally accessible. Edge-first platform unifying 12 providers and 100+ models with multi-agent orchestration, HITL workflows, guardrails middleware, and context
Daily low-token, safety-first upskilling loop for OpenClaw multi-agent teams. Runs configurable micro-drills, scores quality, and produces a compact daily di...
Work Breakdown Structure for multi-agent project management. Organize work as Roadmap → Epic → Task hierarchy with templates and granularity standards. Use w...
Preserve and resume in-progress multi-agent work across OpenClaw config patch/apply restarts. Use when a restart is required during active tasks, when users...
Build, validate, and deploy multi-agent AI solutions on the ADAS platform. Design skills with tools, manage solution lifecycle, and connect from any AI environment via stdio or HTTP.
Post-processing skill for firm-orchestration: converts the structured JSON output of a multi-agent workflow run into real deliverables — GitHub Pull Requests...
AI-powered academic paper reviewer. Uses a multi-agent system (Deconstructor, Devil's Advocate, Judge) to analyze papers for logical flaws, contradictions, and empirical validity.
Multi-agent AI consultation framework for Claude Code. Three MCP servers wrapping CLI tools (Codex, Gemini, Qwen) for parallel code review and problem-solving with fallback chains and error detection.
Orchestrate an OpenClaw multi-agent pipeline to close Linux RISC-V gaps versus ARM/x86 (Linux tree + KVM lore), create and manage GitHub issues, generate des...