openclaw
Skills for the OpenClaw personal AI assistant, covering browser automation, routing requests to coding agents, presenting canvas widgets, running apps on temporary machines, and sharing diffs.
Flowy lists 286 plugins in the Agent Orchestration category for Claude Code. coordinating multiple agents or steps; delegation, handoff, sequencing Every listing shows what is inside before you install, who built it, and whether it is Auto-invoked, meaning a FLOW.md router fires the right skill as you prompt instead of leaving them dormant.
Skills for the OpenClaw personal AI assistant, covering browser automation, routing requests to coding agents, presenting canvas widgets, running apps on temporary machines, and sharing diffs.
Gives Claude Code users skills to drive Orca-managed worktrees, terminals and the embedded browser through the orca CLI, plus Jira and Linear ticket work and inline HTML chat visuals. Covers chart, table and mockup output.
Orchestrates teams of AI agents to run work like a company, with a Node.js server and React UI. Adds skills for delegating tasks, following up on results, reviewing team status, and managing Paperclip tasks from Hermes.
Organizes your AI agents for round-the-clock operation, with tools to hire, schedule and report on your agent team. Lets you oversee the agents without staying online yourself.
Gives Claude Code and Codex a coordination layer so multiple AI agents can split up a task, share memory across sessions, and work together instead of running one at a time. Also covers vector search and reinforcement learning for building agents that remember and improve.
A workflow framework for AI-driven agile software development, with specialist agents for analysis, product management, architecture and implementation. Developers use it to plan and build software with AI assistance.
Cherry Studio is an AI workstation for Windows, macOS, and Linux. Chat with multiple models, work with agents, build knowledge bases, create images, and automate everyday tasks in one place. Cherry Studio Mobile is now available for iOS and Android!
A library of installable SKILL.md playbooks for coding agents, covering security audits, presentation generation, planning and niche research. Users can find reusable instructions for a project, inspect the full files, and keep a set they can review and reuse.
Splits a complex task across several specialized Claude Code agents working in parallel, then keeps going until the result is checked. You describe what you want in plain language instead of memorizing commands.
A Claude Code plugin that sets up a game development studio structure, with AI agents for different roles and workflow skills for tasks such as architecture decisions, art direction, asset audits and migration planning. It coordinates the agents in a hierarchy that mirrors a real studio.
A task management system that uses AI to break work into tasks and coordinate them, with agents, commands, and an MCP server for use inside Claude Code.
Archon is a workflow engine for AI coding that runs repeatable YAML-defined workflows on a git repo, with tools to inspect, approve, cancel and resume runs. It also ships skills for browser testing, release creation and rule checking.
Plans, delegates, and supervises teams of coding agents from planning through merge, with worker sessions, a kanban board, branch worktrees, and pull request tracking. Includes skills to launch the AO desktop app and to triage bug reports.
Gives a team one workspace that connects the systems and chat tools it already uses, with shared memory and any model or agent. Work that used to need months of setup is ready in clicks, and the data stays on local machines.
Omnigent is an open-source framework for orchestrating AI coding agents such as Claude Code, Codex, and Cursor, with policy enforcement and sandboxing. This plugin adds skills for end-to-end testing of its agent harnesses.
Hive is a multi-agent orchestration framework for production AI, with skills for debugging browser automation on complex sites, live queen-colony debugging, running agent integration tests, and triaging GitHub issues.
Lets one orchestrator split a coding job across specialist agents, such as ones that scout the codebase, fetch fresh docs or review architecture, each routed to a model suited to its part. Background tasks run in parallel and their results are merged back, balancing quality, speed and cost.
Designs a custom team of specialist Claude Code agents for your project from a one-line description of the domain, and writes the skills those agents will use. It also evolves an existing setup by folding in feedback from past runs.
Coordinates a crew of AI coding agents from a single conversation, dispatching parallel tasks into isolated git worktrees, automating pull requests, and supervising progress. It also includes a stow skill that files durable project knowledge.
A local-first Agent Workbench where people and agent teams share one workspace to run multiple agent engines, manage plugins and Skills, and coordinate multi-agent projects and tasks.
Build agents and multi-agent systems with the Swarms framework, covering the Agent class, tools, memory, autonomous loops, and workflows such as sequential, concurrent, and graph-based orchestration.
Moves routing between agents, model selection, guardrails and tracing out of your application code into a separate proxy layer. Agents and models can change without rewriting app code, and tracing covers every agent without extra instrumentation.
A control plane for long-horizon agents that keeps work moving across sessions, with durable state, Goal and Todo tracking, delegation, benchmark analysis and change-quality checks for Claude Code users.
A terminal window manager for Claude Code users, with tiling panes, workspaces, and sessions that survive restarts. The skill lets Claude read and write other panes, run work and wait on it, and report its own state.
Skills for installing, configuring and operating the vLLM Semantic Router on Docker or Kubernetes, changing its routing contracts, calibrating routing recipes against live model backends, and handling maintainer issue and release work.
Turns a rough feature idea into a written spec through guided questions, then has the agent build it and checks the result against that spec. Instead of hand-checking whether the work is finished, you get an automatic evaluation gate that runs in your coding agent.
Breaks a complex task into steps and hands each one to a specialized agent for research, coding, design or unattended automation. It also carries memory across sessions so the working setup can improve itself over time.
Skills for building iterated agentic coding loops, designing control loops for a codebase, improving CLAUDE.md instruction files, narrowing React prop types, and running a structured research-plan-implement workflow.
Install language servers and toolchains for Go, TypeScript, Python and Rust, and guide the lsp tool to find symbol definitions, usages, types and compiler errors.
Skills for the bb agentic IDE: configure the Account Pooler and quota failover, manage recurring automations, annotate browser tabs, sign in to a getbb.app account, and control the hosted cloud AI features.
A visual canvas for designing AI agent workflows that exports them as Markdown for Claude Code. Also includes skills for Jira-driven planning and autonomous development loops.
Gives Hermes users a governing layer that frames each request, picks the workflow and evidence checks, and records honestly what happened. It covers planning, research, coding handoffs, operations and project memory.
Runs structured deliberation across several reasoning perspectives, so a user can weigh a hard decision from multiple angles before settling on one path.
A Claude Code skill for building, extending, or debugging AI agents with cascadeflow, an in-process layer that routes LLM calls across models to reduce cost. It supports the Python and TypeScript packages.
A lightweight terminal tool that coordinates Codex, Claude, Gemini, and other CLI agents in visible, controllable workflows. Includes skills for GitHub release maintenance and reconnecting Codex threads after tmux disconnects.
Summons domain experts for a task by running a multi-agent debate, with persistent memory and a Python expert library the plugin builds up through web research. Useful when you need specialist guidance.
A componentized multi-agent framework built around native function calling, offering an agent loop, tool execution, context engineering, sub-agents, session persistence, and retrieval with persistent memory for developers building AI agents.
Loopy helps Claude Code users discover, compare, audit, run, and save repeatable AI-agent loops for recurring coding work. A companion skill to the Loop Library website.
A development harness for Claude Code that runs an autonomous plan, work, and review cycle. It provides skills for browser automation, CI failure diagnosis, team execution, and delegating write tasks to Cursor with diff review.
Keeps an AI coding agent working in a loop, checking its output against tests and lint, until a task is actually finished. It also helps turn rough ideas into design documents and code task files, and it reviews pull requests.
Open source AI orchestration framework for software development, offering role-based agents (architect, analyst, developer, data engineer, and an orchestrator) for code implementation, database design, workflow management, and sprint planning.
Runs several AI coding agents at once, each in its own git worktree and tmux window, so parallel features do not need stashing or branch switching. Also handles committing, rebasing, merging and opening pull requests in one step.
A Claude Code skill that runs a question, idea, or decision through a council of advisors who analyze it independently, peer-review each other anonymously, and produce a final verdict. Based on Karpathy's LLM Council.
A plugin that runs coding tasks through multiple AI backends (Codex, Claude, Gemini, OpenCode) with a structured development workflow, parallel execution, browser automation and multi-session task checkpointing.
A Pi-native shell for controlled development with skills for opening review-sized pull requests, writing clear docs and collaboration comments, and delegating work to focused subagents with test-first habits.
Cate is a coding environment with an infinite zoomable canvas holding editor, terminal, and browser panels. Its skills let Claude Code drive those panels, automate pages in the live browser, and edit IDE themes.
Coordinates AI agents with mechanical protocol enforcement, a workflow gate, memory validation and a session hook. Includes a catalog of specialist agents and has no runtime dependencies.
A catalog of plugins that add slash commands, specialized agents and skills to Claude Code, so you can reuse proven tooling and workflows across projects and teams. Includes a connect-apps plugin for taking actions in other apps.
Runs an autonomous agent loop that repeats a task with self-correction, task tracking and live monitoring, so a coding assistant keeps working until the job is finished. Works with Claude Code, OpenCode, Codex and GitHub Copilot.
Spec-driven development for AI coding agents, with git worktree isolation, multi-agent implement-review loops, adversarial review squads, and post-merge mission review. Skills and commands guide agents from spec to merged code.
Spec-driven development with organizational governance for AI coding agents. Specs state what to build, a Charter sets how it gets built, and missions run as git worktrees with review gates and a kanban dashboard.
Lets Claude Code, Codex, Gemini CLI and other command-line AI agents send messages to each other through a local SQLite database. It needs only bash and sqlite, with no daemon or network.
Runs your implementation plan from a terminal without you watching each step. Each task gets a fresh Claude Code or codex session, then the work is reviewed and committed, so long features stay sharp instead of degrading as context fills up.
Skills for ShinkaEvolve, an LLM-driven framework that evolves code. They set up evaluation tasks, convert existing codebases into evolvable tasks, run evolution jobs, and inspect the strongest evolved programs.
Lets Claude Code hand prompts to the OpenAI Codex CLI for code analysis, refactoring, and automated editing, including resuming earlier Codex sessions.
Builds reusable AI agents and multi-agent teams for Claude Code, with skills for creating single agents, packaging existing agents, and auditing team packages with orchestrators, workers, and handoffs.
A Claude Code skill that spins up many sub-agents, each given the same task under a different strategy, and selects the strongest answer. Use it when a single Claude response is not good enough.
Give your agent a fast, cheap second brain for the small decisions. Your agent burns frontier-model tokens on things that are not thinking: which model should answer this turn, which of 377 skills to load, which retrieved passages matter, which turns survive.
Your coding agents, one team, and proof for every step. Coordinate Claude Code, Codex and Cursor with shared tasks, independent reviews and a local dashboard. Free and open source, MIT licence, no account, everything runs on your machine.
A spec-driven development harness for Claude Code that plans, runs, and syncs work from specifications, with quality gates, model routing, and multi-LLM cost control. Its skills cover Go project practices and a local self-evolution loop.
A Claude Code plugin for AI-human collaboration across the development lifecycle, with skills for OpenSpec change implementation, archiving and exploration, frontend browser verification, and release blog writing.
Bernstein is a Claude Code plugin for orchestrating AI agents. It adds skills to list and inspect agents, review and approve tasks, create tasks, track costs and budgets, and show alerts for failed or stalled work.
Runs several AI agents on the same task in your terminal, lets them critique and refine each other's work, then votes so the strongest answer wins. Works with a range of model backends, plus skills for image and audio generation and code search.
A marketplace of Claude Code skills for browser automation, multi-agent orchestration, web search and page extraction, and open-source repository maintenance.
Lets a lead agent hand goals to worker agents such as Claude Code or Codex, each running in an isolated container. Shared memory, schedules and review gates keep the work going across sessions.
Luvus is a mission control tool for AI coding agents. These skills let Claude Code drive Luvus through its local CLI, delegate work to live Luvus agents or panes, and write Luvus modules that add sidebar docks and other extensions.
Claude Code plugin with skills, agents, commands and MCP servers for orchestrating coding-agent CLIs, auditing plans against implementations, managing MCP servers, and running CSS design-token checks.
Open source AI Employees. 8 scheduled business roles, 60 routines, on Claude Code and 10 other harnesses. They drive your browser the way you do and improve every run. You own the files.
A Claude Code plugin that enforces finishing multi-step tasks with evidence and verification at each stage. It works as a procedure for Opus or any Claude model, not as chance.
Enforces staged execution discipline on large tasks, with a written stage plan, delegation to parallel agents where supported, a verification check at each stage, and a skeptical self-review. Its skills route work across a Haiku, Sonnet, and Opus ladder.
Runs long coding tasks as explicit, checkable steps with verification and approval gates, so research, implementation and checks happen without you watching each stage. Works with any model provider.
Gives your AI agents team habits: a reviewer from a different vendor checks each result, work hands off cleanly when quota runs out, and a nightly review turns repeated mistakes into rules. Also includes tools for estimating agent run times and triaging failed end-to-end tests.
Turns a software change into a guided pipeline of written steps: a change proposal, a technical design comparing options, test-driven development, and architecture decision records. Each stage leaves an auditable document, so AI-assisted coding follows a repeatable process you can review.
Helps you think through decisions by gathering several AI opinions on one question, exposing hidden assumptions in a plan, clarifying vague requests, and pulling in developer community views on a tech topic.
A 3D isometric office where AI agents do real work on your own Claude login. Six departments, thirty-five agents at their desks, a task bar that routes what you type to the right agent, and a Brain at the centre that is your own folder of notes.
Lets an agent see and steer the other coding-agent and terminal sessions running on your machine or project, listing their status, starting new ones, and sending them prompts or answers. Replaces manual switching between terminal windows.
Smart guardrails and workflow automation for Claude Code - catch errors in real-time, save checkpoints, and enhance AI coding with expert subagents.
Adds a spec-first workflow with sprint contracts, a verifier subagent, and feature-list tracking. Fires when planning a feature, starting a sprint, or checking work before marking it done.
Multi-agent coordination for Claude Code that breaks big tasks into smaller ones and runs agents in parallel, with skills for worker spawning, file reservations and progress tracking.
Manages a single capabilities.yaml file that wires skills, tools, rules, sub-agents, MCP servers, and plugins into AI coding agents such as Claude Code, Cursor, and Codex. Includes a bootstrap skill that consolidates existing project setups.
Adjusts how third-party models behave inside Claude Code so they run closer to a native Opus session, covering subagent lifecycle, session hooks and tool interception. It does not replace your gateway, provider mapping or account setup.
Breaks a build goal into phased plans and recon steps for autonomous coding. Fires when you ask Claude to plan or run a multi-step task across a codebase.
Autonomous GitHub Project build → QA → review loop for Claude Code. One-line install.
An agent harness and toolkit for building AI agents and agentic applications, with a CLI and SDKs. It supports sub-agent spawning, MCP integration, session memory and human-in-the-loop control.
A CLI tool that lets coding agents message, watch, and spawn each other across terminals. Start an agent with hcom in front, then prompt normally.
A plugin for creating, improving, and testing Claude Code skills. It includes a skill-creator skill that runs evals to measure how well a skill performs.
Provides skills that run deterministic compiled graphs inside the ZeroClaw, Hermes Agent and OpenClaw agent runtimes, with importers and MCP tools. It also tracks AI co-authored code attribution in projects.
Runs a PDCA workflow with phase gating, spec checks, and delegation to sub-agents for planning, QA, and deployment. Fires at session start and on prompts, edits, task creation, and phase transitions.
Gives separate Claude Code, Codex and similar agent sessions one shared local workspace, where they coordinate in channels and threads, track work on task boards, and keep memory so you stop re-explaining context. Can also turn a task into a reviewable HTML page.
A plugin of skills and agents for orchestrating Claude Code sessions. It covers watching pull requests through CI and review comments, filing reproducible bug reports, writing design briefs, and exploring codebases to locate files and trace behaviour.
An autopilot skill that builds an app, site, bot, or feature from a spoken idea: it asks only where the idea forks, writes the spec, splits it into tasks, builds it and checks the result against the original brief, with live progress on a dashboard.
A Claude Code skill for creating, assigning, and monitoring software tasks through Machinist's GitHub issue workflow, intake labels, direct runs, and managed queue.
A local-first control plane that routes coding tasks across Claude Code, Codex, Cursor and OpenCode, choosing the harness and account for each task based on quota and availability.
Bundles agent skills for multi-step agent orchestration, browser automation for web data collection, UI/UX and web performance guidance, and strategic research. Installs for Antigravity IDE and Claude Code.
Coordinates a team of autonomous agents that work through hard mathematical proofs, keeping only the results that pass an independent check. It can verify a written proof step by step, look up cited theorems, and search for counterexamples or simpler test cases when stuck.
Gives Claude Code agents a task board for planning, assigning, claiming, and reviewing multi-step project work. Includes skills for maintaining scheduled work, running whole project plans, delegating single tasks, and letting workers update their assigned tasks.
Fusion-Fable is a Claude Code plugin that answers hard questions by sending them to a panel of models working in parallel, then having a judge model combine their answers. It also includes a planning skill that runs an OMC requirements interview before producing an implementation plan.
Lets your AI coding assistant handle everyday tool work for you, such as tracking Jira and Confluence items, managing Azure DevOps pipelines, and turning text into narrated audio, so you stop switching between apps.
An intent-driven workflow runtime for AI coding agents that keeps context, skills, approvals, validation, and handoffs consistent across sessions and hosts. It bundles skills, agents, and MCP servers for orchestrating complex coding tasks.
Plugin for the Station CLI (stn) to create, run, and deploy AI agent teams, with skills for configuration, code review, and web research. Self-hosted and git-backed.
A multi-agent orchestration plugin for Claude Code that runs design review gates after brainstorming, turns issues into autonomous PR workflows, handles PR review comments, and delegates tasks to Codex and Gemini CLI tools.
Coordinates multiple Claude Code agents on a task using a Royal Navy squadron structure, covering mission planning, parallel work and handoffs, then stand-down. Suited to work that needs several agents running in parallel.
Runs test-driven development with a coder and overseer subagent that gates each checkpoint. Fires when you write plans, execute them, debug, review, or iterate on code.
Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar.
A Claude Code skill that sends tasks to background AI worker agents using checklist-based plans, so you can delegate work such as reviews to other models while you keep working.
Orchestrates multi-agent workflows for Claude Code: runs parallel fan-outs, dependency-aware DAG flows, single agents, and saved playbooks, plus a systematic debug workflow for stuck problems.
Runs BMAD planning workflows for Claude Code users, with brainstorming, document distillation, prose and structural editing, and advanced elicitation to refine recent output. Includes agents for autonomous Ralph runs.
Runs named, repeatable multi-step workflows such as code review, research and spec checks, where several agent workers each handle a step and pass results along. Each run is recorded so you can inspect, stop or resume it, and you choose a workflow and describe the task in plain language.
Runs tasks from a task file on its own when your Claude usage window reopens, so queued work gets done without you starting each session. It uses permission-skipping autonomous mode, so review the tasks before you leave it running.
Agents and commands for Claude Code covering multi-agent review, PRD generation, session optimization, skill compliance checks, and learning from pull requests.
Delegate tasks to OpenAI Codex agents via tmux sessions. Designed for Claude Code orchestration. Spawn parallel coding agents, monitor their progress, send follow-up messages mid-task, and capture results - all from Claude Code or the command line.
Navigator is a Claude Code plugin for planning and delivering features across sessions. It adds skills to create API endpoints, database migrations, React or Vue components, and backend and frontend tests, plus agents and hooks for workflow orchestration.
Runs an autonomous benchmark loop that logs failed ideas and stops at a budget. Fires when you start an optimization run or the session ends.
Coordinate multiple AI models (Claude + GPT + Gemini) as a heterogeneous team. One creates, two review. A Claude Code Skill.
One browser tab to command an army of pi agents. Spawn parallel sessions, watch reasoning live, attach OpenSpec changes, ship work, from your laptop or phone.
Adds enforced multi-agent orchestration to Claude Code, with agents tracked, decisions logged, and work kept across sessions. Includes skills for bootstrapping lean beads-based task tracking and for verification-first implementation.
The best ADE. Not just a terminal. Not just an IDE. Manage agent sessions like Codex. Split terminals like iTerm2. VelaTerm keeps both in one native app, and brings them to your browser and your phone. Watch the intro video (2:55) · Download · User manual.