cascade-ai-ml-agents-misc-1

Multi-agent orchestration framework for Claude Code with TDD and quality gates

Auto-apply OpenAI Codex PR review fixes

AI Development Environment - Multi-agent orchestration for Claude Code

Multi-agent orchestration protocol for coordinating parallel Claude instances. Prevents file conflicts, enforces priority alignment, and provides real-time visibility across all running agents.

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.

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

Complete plugin for Synapse A2A multi-agent framework including inter-agent communication, file safety, and history management

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

Essential development commands for coding, debugging, testing, optimization, and documentation

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

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

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.

Python technical specialists for Django, FastAPI, FastMCP, Celery, and testing

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

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

Context Store - Document management system for storing, querying, and retrieving documents across Claude Code sessions. Provides doc-* commands for document operations with a centralized server. Requires Context Store Server running and Python with 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

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

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.

Claude Code update watcher: changelog tracking, breaking changes detection, community pulse via Exa, plugin compatibility analysis

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

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 for AI coding assistants — saves decisions, patterns, errors, and context across sessions via MCP

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

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

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

Claude-to-Claude messaging for multi-session coordination

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

Generate images using OpenAI's image generation API (gpt-image-1, DALL-E 3). Enables Claude Code to create logos, illustrations, ad creatives, and marketing assets directly from prompts.

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

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

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

Multi-agent orchestrator for Claude Code. Use when user mentions gastown, gas town, gt commands, convoys, polecats, rigs, slinging work, multi-agent coordination.

Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL. Originally from OpenAI's curated skills catalog.

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

Leave notes on files for other agents to see in future sessions

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

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

Plugin for building Obsidian plugins

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.