cascade-ai-ml-agents-misc-1

Enterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities

AIDA - Multi-agent project generation with auto-init, TDD enforcement, and quality gates

Automated PR preparation with local CI validation, smart error recovery, and Mermaid diagram generation. Takes any branch state to published package.

AI Development Environment - Multi-agent orchestration for Claude Code

Multi-agent workflow orchestration with natural language creation, parallel execution, conditional flows, and visual progress tracking

Olympus: Multi-agent orchestration for Claude Code. Summon the gods of code.

Multi-agent orchestration skill for coordinating distributed AI agent workflows.

Enterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

Multi-agent collaboration framework enabling Claude Code, Codex, and Gemini to communicate via Google A2A Protocol.

Multi-LLM Council for adversarial debate, cross-validation, and structured decision-making

Requirements-driven development workflow with quality gates for practical feature implementation

Compound engineering with Agent Teams + Ralph Loops. Spawn coordinated teams that iterate until tests pass, then capture learnings for the next cycle. Includes 6 commands and 2 skills.

Multi-agent collaboration plugin orchestrating diverse AI agents (Codex, Gemini, etc.) for Claude Code with varied perspectives.

Multi-repo orchestration for AI agent workflows. Aggregate beads across repositories, manage contexts, and coordinate distributed work.

Universal AI agents collection for Claude Code - 28+ specialized agents with strict boundary enforcement, project-specific agent creation, and intelligent task routing

Orchestrated multi-agent loops with profile-based modes. Default: persistent Teams for complex implementation. Leanswarm: lean 4-concern variant of default for capable models. Deepplan: multi-agent planning with explore/synthesize/critique/deliver. Async: background agent orchestration for independent parallel tasks. Decomposes complex tasks into parallel subtasks, spawns agent teams, tracks progress via native TaskCreate/TaskList, and dynamically re-plans each iteration until verified completion.

Multi-agent orchestration with Ultrawork mode (Sisyphus Mode) for obsessive task completion

Claude skill for coordinating multiple agents in collaborative novel writing. Manages character consistency, plot coherence, and multi-perspective narrative generation.

Effective Claude workflows - /solo for 90% of tasks, /team for complex features. Based on official Anthropic patterns.

Factory.ai-style multi-agent workflow system with self-healing CI/CD loop. Coordinates specialized AI agents (backend-engineer, frontend-engineer, code-reviewer, test-engineer, doc-writer) with infinite iteration until perfect completion.

Skills and plugins for building Autonomous Startups on workers.do platform

Continuous self-referential AI loops for interactive iterative development, implementing the Ralph Wiggum technique. Run Claude in a while-true loop with the same prompt until task completion.

One-shot swarm commands with Gemini MCP planning (jamubc/gemini-mcp-tool). Scouts gather context in parallel, planner synthesizes XML architectural instructions for Gemini (gemini-3-flash-preview), parallel coders execute. No iterative loops - fast parallel execution. Gemini is fully one-shot with no session history.

Distributed intelligence system with 130+ expert agents across 11 domains, dual-mode coordination (Redis/TaskQueue/Markdown), real-time pub/sub messaging, and durable Temporal workflows. Like nature's mycelial networks.

A council of opinionated AI specialists to plan, build, review, and refine your projects through structured debate and iteration.

A comprehensive suite of specialized agents with mandatory delegation enforcement for software development, featuring 30+ domain experts including frontend, backend, infrastructure, security, and quality assurance specialists.

Product development toolkit with PRD management, discovery, strategy, and UX/UI expertise

Self-evolving multi-agent system for Claude Code that enables intuitive, flow-based development without rigid planning.

127-agent automated development system with Agent Teams, quality gates, Bug Council diagnostics, and autonomous execution

The Agent Harness for Claude Code — Guardrails, Observability, and Quality Gates for AI-Powered Development. 15 specialist agents with structured workflows, budget controls, analytics, and self-learning.

Autonomous software development workflows with minimal token usage via on-demand resource loading

Autonomous development loop with project state management and task orchestration

Systematic feature development with codebase exploration, architecture design, and team-based implementation loops (SOLID, Clean Architecture, Design Patterns, DDD)

Observable subagent orchestration with structured contracts, verification loops, and deviation tracking

React patterns - component architecture, hooks, context, and testing

Multiagent orchestration plugin for enterprise code development with specialized agents and skills, beads integration, and quality gates enforcement

MTG Commander deck builder with multi-agent pipeline and adversarial challenger agents. Each primary step (Deck Builder, Rules Judge, Optimizer, Price Evaluator) is verified by a dedicated challenger in an independent correction loop. Synergy-first card selection via Scryfall API, format legality validation, structural optimization, budget enforcement with price goal escalation, and configurable loop caps via `.mtg-commander.yml`. Produces complete 100-card decklists.

Professional development framework with 16+ specialized agents and Requirements-Driven/BMAD methodologies for structured engineering teams.

Core Orchestrator plugin. Provides Python ao-* commands and slash commands for orchestrating specialized Claude Code agent sessions. Use this for agent management, session control, and custom agent blueprints. Requires Python and uv.

Git-native spec and issue management for AI-assisted development. Track issues, specs, and feedback with smart anchoring.

Autonomous multi-agent system that transforms goals into tested implementations through Epic/Feature/Story hierarchy with quality gates

Extract and search human decisions from Claude Code sessions

A persistent memory system for AI agents that stores and retrieves contextual information across extended conversations and sessions.

Persistent memory system for Claude Code - seamlessly preserve context across sessions

Semantic search for Claude Code conversations. Remember past discussions, decisions, and patterns.

Working memory for AI coding assistants - surfaces relevant context based on intent

Text file-based memory system for AI agents to maintain persistent state and context across sessions.

Graph-vector memory service providing AI assistants with durable, relational memory for context awareness.

Persistent memory system for Claude Code that retains conversation history and context across sessions.

Agent Self-Learning Memory System — Make AI Agents understand you better over time

Self-learning orchestrator with unified insight memory. Explore → Plan → Build with feedback-based learning.

Expert shadcn/ui with Radix UI and Base UI detection, component patterns, registries, theming, and migration

Agent command center for orchestrating Claude Code agents with mail, messaging, code reviews, and persistent agent lifecycle hooks.

Multi-agent orchestration system for Claude Code. HOUSTON coordinates Voyages, Missions, and Objectives while fresh Pods execute work autonomously.

70+ Claude Code slash commands across 12 development phases with Dagger-based safety system, multi-dimensional validation, and specialized agents

Travel search powered by Fliggy — search flights, hotels, attractions, concerts, and more with natural language

Universal Claude Code workflow with specialized agents, skills, hooks, and output styles for any software project. Includes orchestrator, code-reviewer, debugger, docs-writer, security-auditor, refactorer, and test-architect agents.

Shared skills and agents for the Liti engineering team

AI workflow and integration skills for Mastra framework, enabling automated agent orchestration and task execution.

AI agent framework for building autonomous workflows. Enables no-code creation of intelligent task automation for nonprofit operations.

Fix security vulnerabilities identified by DryRunSecurity. Provides guided remediation for SQL injection, XSS, SSRF, IDOR, and other security findings.

Architecture design and planning tools for Claude Code

Code review skill using the codex CLI

Persistent memory system enabling AI coding assistants (Claude, Cursor, Copilot) to maintain context across sessions.

Analyze codebase architecture and tech stack to automatically generate specialized Claude Code agent teams

Comprehensive collection of 33 production-ready skills for strategic thinking, decision-making, research methods, architecture design, and problem-solving. Includes frameworks like Bayesian reasoning, kill criteria, layered reasoning, information architecture, and more.

Orchestration harness that turns Claude Code into a coordinated team of specialist AI agents

AI-powered development workflow with planning, implementation, and review commands

AI agent freelancing platform - discover tasks, find bounties, claim work, and build reputation

Autonomous agent framework that enables AI to self-direct tasks and workflows without explicit step-by-step instructions. Useful for automating complex, multi-step processes in nonprofit operations and campaign management.

AI-powered autonomous coding agent using task management for continuous development cycles.

Autonomous plan execution with Claude Code - task execution, monitoring, and plan creation

Design and implement autonomous agent workflows with database patterns and workflow orchestration for multi-step processes.

LLM-driven trading agent framework with reusable skills for financial workflows and Codex/Claude MCP integration.

Skill for interacting with the Trading 212 API - portfolio management, order placement, position tracking, and historical data analysis

Enable AI agents to message, watch, and spawn each other across terminals with Claude Code, Gemini, and Codex.

Claude-to-Claude messaging protocol for multi-agent coordination and communication within Claude Code environments.

Claude Code hooks for Agent Command monitoring server. Sends real-time events including tool usage, transcripts, and session state to a central monitoring dashboard.

Tracks Claude Code sessions and displays them in a TUI dashboard

A structured 4-phase workflow for agentic coding: Product Discovery, Solution Planning, Delivery, and Retrospective. Provides commands, agents, and skills for systematic software development with AI.

AI Workflow Framework - Project management and development workflow for Claude Code with Korean/English support

Loads AGENTS.md files automatically into Claude Code sessions

Four-tier autonomous agent architecture with specialized agents, skills, and commands for code analysis, quality control, pattern learning, and automated validation.

power claude plugin

Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

Agent skills for Home Assistant: best practices for automations, helpers, templates, device control, and dashboards.

Claude Skills for Home Assistant and ESPHome integration, enabling smart home automation and device control through AI agents.

Skills for building Towns Protocol bots - covers SDK initialization, slash commands, message handlers, reactions, interactive forms, blockchain operations, and deployment

Z.AI vision, search, reader, and GitHub exploration via MCP

File-based planning with persistent markdown files for complex multi-step tasks

A computational argumentation system for structured AI debates using Toulmin argument framework. Create debate motions, run multi-exchange debates between AI agents, and generate comprehensive reports with argument visualization.

LangGraph 7-layer agent architecture skill — scaffolding, tools, subgraphs, nodes, prompt versioning, and dependency linting for StateGraph projects

Agent-to-agent communication system using file-attached warnings for cross-session context sharing and collaboration.

Agent Workbench is an interactive UI that enhances Claude Code with rich visual components. WORKFLOW: 1) `awb run --title "Title" <component> [args]` sends an interaction and returns an ID, 2) `awb wait <id>` blocks until user responds. COMPONENTS: confirm (yes/no prompts before destructive actions), progress (multi-step task tracking with --steps), diff (code review before commits), table (structured data display), code (syntax-highlighted file viewer), json (formatted JSON/API responses), ask (quick user questions), chart (data visualization). WHEN TO USE: Before deleting files, deploying, or destructive operations use confirm. For multi-step tasks use progress. Before git commits show diff. For structured output use table/json. Always include --title. Run `awb --help` or `awb run --help` for details. The user runs `awb ui` to open the playground and respond to interactions.

Olakai - measure AI ROI, govern risk, and control costs. Create agents with analytics, add tracking to existing code, troubleshoot, and generate reports

Adaptive skill that enables agents to learn from interactions and improve performance over time through feedback loops.

Terminal session manager for AI coding agents supporting Claude, Gemini, OpenCode, and other AI models. Unified TUI for multi-agent development.

Standardized project initialization with AGENTS.md 1.1 support for seamless AI agent collaboration and handoff between tools.

Long Task Harness for AI agents - task/feature-driven development with external memory

Evidence-driven research, guarded Codex delegation, explicit native parallelism, secret protection, and approval gates for rm, commit, and push.

Ruby development plugin with POODR principles, Sandi Metz refactoring patterns, and Ruby best practices

Spec-driven development orchestration system. Zero-assumption, gate-enforced, professional execution engine.

Comprehensive Claude Code plugin for ExFabrica Agentic Factory - NestJS, Angular 20, Drizzle ORM, PostgreSQL monorepo development

Spec-Driven Development: specifications compiled into executable, verifiable behavior

Verified Rust development with 4 layers (Requirements, TDD, Implementation, Verify) and maximum parallelism. Combines defense-in-depth verification with parallel task orchestration.