ai-agents plugins

by FlyFission

Risk-graded context engineering for AI-assisted software work — a catalog of agent skills, paste-ready command prompts, and change-record templates that keep agent work questioned, controlled, and reviewable.

by Alberto Leal

Build and refactor CLIs for AI agent compatibility. Use when making CLI tools machine-readable with structured JSON output, input hardening, schema introspection, dry-run safety, and MCP surfaces.

by Jean Deruelle

A full AI organization across engineering, finance, marketing, legal, operations, product, sales, and support that compounds your company knowledge over time.

by Matt Corbett

AI agent-engineering team — agents (agentic-systems-architect, agent-implementation-engineer) for BUILDING production agentic systems: hard TRIAGE (most tasks win as a fixed workflow or a single LLM call, not an agent), single-vs-multi-agent topology, framework selection (LangGraph / OpenAI Agents SDK / CrewAI / AutoGen / Claude Agent SDK), tool & function design, context/memory/state management, planning & reflection loops, human-in-the-loop, guardrails, cost/latency budgets, tracing/observability, and agent EVALS (trajectory, tool-use, task-completion). skills, a knowledge bank, and templates. Engineering judgment, not a demo; the framework/model/API landscape is volatile — every version carries a retrieval date + [verify-at-use]. Distinct from ai-rag-engineering (retrieval), prompt-engineering (single-call prompt craft), llm-evaluation-engineering (general eval harnesses), and claude-app-engineering (Claude product apps). Needs ravenclaude-core.

by Ali Farahat

Never reconstruct where you left off. Local-first continuity for you and your coding agents — resume, decisions, and what's still in the air. CLI, MCP, and Agent Skills for Cursor, Claude Code, Copilot, and Codex.

by using-system

Observability-Driven Development for CLI coding agents

by Diego Romero

Autopilot for spec-driven development. The human signs off and merges; planwright flies the spec. Scales to a multi-spec fleet: an agentic software factory on Claude Code primitives.

by Open Agent Tools

AI agent development: project scaffolding (18 templates), ADK evaluations

by Open Agent Tools

Run Google ADK evaluations with detailed results and rate limiting

by Open Agent Tools

Create projects from 18 templates: Python, Node.js, Rust, Go, and AI agent frameworks

by nuttaruj

Coordinated software-house team for AI coding CLIs — 15 specialist agents, Core 10 phase skills (1 router + 9 phase), 6-phase lifecycle. Pre-commit gates (S1-S5 simplicity / T1-T6 testing / F1-F5 failure-mode) catch bugs before ship. On Claude Code, ships as a pure marketplace plugin (agents / skills / commands / hooks) — the always-on judgment core is delivered by a SessionStart hook, so install and uninstall touch no global config. See https://github.com/nuttaruj/rolepod.

by nuttaruj

Coordinated software-house team for AI coding CLIs — 15 specialist agents, Core 10 phase skills (1 router + 9 phase), 6-phase lifecycle. Pre-commit gates (S1-S5 simplicity / T1-T6 testing / F1-F5 failure-mode) catch bugs before ship. On Claude Code, ships as a pure marketplace plugin (agents / skills / commands / hooks) — the always-on judgment core is delivered by a SessionStart hook, so install and uninstall touch no global config. See https://github.com/nuttaruj/rolepod.

by One Tap Studio Games

An AI world where agents live without humans.

by Stackbone

Agent skills for Stackbone: the platform for building and hosting durable AI agents. Creators author a workspace of deep agents (deepagents/LangGraph, served over the standard OpenAI/Anthropic chat endpoints) and durable workflows; organizations install them as agents that run in their own cloud with Postgres (Drizzle), object storage, durable execution (Redis), a human-in-the-loop inbox and an LLM gateway (OpenRouter). This plugin gives coding agents the full Stackbone surface: @stackbone/sdk (the ambient stackbone client — database, storage, AI, RAG, approval, prompts, secrets, config, plus stackbone.connection(id)), @stackbone/sdk/deep (defineDeepAgent + connectorTool + tool-level HITL), @stackbone/sdk/workflow (durable workflows + callDeepAgent + requestApproval), @stackbone/sdk/connect (Stackbone Connect), the CLI for scaffolding, publishing, workflows, runs and HITL, and diagnostics for runs, logs, HITL and connectors.

by VlDubr

Bidirectional bridge between Claude Code and Codex (ChatGPT): code review, adversarial review, task delegation, background jobs, models consulting each other, and image generation via Codex's built-in tool. Runs on your existing ChatGPT subscription, no API keys.

by MAOS Community

MAOS (Multi-Agent OS) - Coordination Framework for AI Agents with Orchestration, Sentinel Protocol, Worktree Governance, Status Maps, Forge Meta-Agent, Governance Protocols

by jellologic

Offload bulk coding work to Muse Code instances in isolated git worktrees, each supervised by an Opus agent that reads the patch, runs the acceptance check and re-prompts until the work is right.

by NVIDIA

Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces, choose a path, validate your setup, and build practical NVIDIA-powered workflows.

by Tribeunal

Put a decision to a jury on Tribeunal. Connects to the hosted Tribeunal MCP server (https://mcp.tribeunal.com/mcp, Auth0 sign-in — no local install) and ships eight Agent Skills that carry the workflows the tools alone cannot: framing a case and choosing its settings, waiting out an asynchronous verdict and acting on it, serving jury duty, weighing evidence, convening a tribe, running a binding arbitration, and wiring signed webhooks.

by Uniac

Build and run web apps, websites, agents, databases and background workers on Uniac, the cloud platform for AI agents.