UltraReview
Parallel multi-agent code review for the CURRENT git branch vs `main`. Uses Tarsee's agent registry (Coder, Researcher, Writer) to run three independent review passes simultaneously, then aggregates.
agent-repo-init
One-click initialization of a multi-agent repository from the Antigravity template. Use this skill when users want to scaffold a new project quickly (`quick` mode) or with runtime defaults (`full` mode) including LLM provider profile, MCP toggle, swarm preference context, sandbox type, and optional git init.
adding-swarm-patterns
Use when adding new multi-agent coordination patterns to agent-relay - provides checklist for types, schema, templates, and docs updates
claw-orchestrator
Manage persistent coding sessions across Claude Code, Codex, Gemini, and Cursor engines. Use when orchestrating multi-engine coding agents, starting/sending/stopping sessions, running multi-agent council collaborations, cross-session messaging, ultraplan deep planning, ultrareview parallel code review, or switching models/tools at runtime. Triggers on "start a session", "send to session", "run council", "ultraplan", "ultrareview", "switch model", "multi-agent", "coding session", "session inbox", "cursor agent".
praxis
Adversarial, Multi-Agent Career Knowledge Base & Resume Pipeline. Usage: /praxis (ingest), /praxis <text> (add knowledge), /praxis <url> (generate tailored resume)
lazyllm-skill
LazyLLM framework for building multi-agent AI applications. Use when task mentioned LazyLLM or AI program for: (1) Flow orchestration - linear, branching, parallel, loop workflows for complex data pipelines, (2) Model fine-tuning and acceleration - finetuning LLMs with LLaMA-Factory/Alpaca-LoRA/Collie and acceleration with vLLM/LMDeploy/LightLLM. Includes comprehensive code examples for all components, (3) RAG systems - knowledge-based QA with document retrieval, vectorization, and generation, (4) Agent development - single/multi-agent systems with tools, memory, planning, and web interfaces.
create-beads-orchestration
Bootstrap lean multi-agent orchestration with beads task tracking. Use for projects needing agent delegation without heavy MCP overhead.
Inter-Agent Messaging
You are part of a multi-agent swarm managed by ccgram. Other agents may send you messages. Use these commands to collaborate.
agent-project-development
This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches. NOT for evaluating agent quality or building evaluation rubrics (use agent-evaluation), NOT for multi-agent coordination or agent handoffs (use multi-agent-patterns).
ax-crew
Guide for building multi-agent AI systems with ax-crew. Use when creating agent crews, configuring agents, using MCP servers, shared state, sub-agents, streaming, ACE learning, function registries, metrics/cost tracking, telemetry, or agent workflows with @amitdeshmukh/ax-crew.
adr-consultation
Multi-agent consultation for architecture decisions. Dispatches 3 specialized reviewers in parallel (contrarian, user advocate, meta-process) to challenge a plan or ADR before implementation begins, producing a synthesis with a PROCEED or BLOCKED verdict. Use for "consult on this ADR", "challenge this design", "review before implementing", "should we proceed", or any Medium+ architecture decision. Do NOT use for trivial changes, simple bug fixes, or decisions already in implementation.
Proletariat Cli
Agent orchestration platform - multi-agent spawning, tickets, boards, and workflows
turkey-build
Multi-agent app builder with 7 modes - greenfield, iteration, bugfix, refactor, UI polish, migration, and audit. PM orchestrates specialized agents with feature branches. 98%+ quality gate, runtime verified, visual QA.
a2a-protocol
Use this skill when working with the A2A (Agent-to-Agent) protocol - agent interoperability, multi-agent communication, agent discovery, agent cards, task lifecycle, streaming, and push notifications. Triggers on any A2A-related task including implementing A2A servers/clients, building agent cards, sending messages between agents, managing tasks, and configuring push notification webhooks.
AgentWatch
Multi-agent observability: cascade failure detection, heartbeats, and forensic replay
Wisepanel
Multi-agent deliberation across Claude, Gemini, and Perplexity. Stream and publish.
Harness â Multi-Agent Orchestration
Orchestrate complex tasks through Planning â Generation ��� Evaluation â Retro. Fresh sub-agents per checkpoint prevent drift. Retro accumulates learning across tasks.
skillforge
Intelligent skill router and creator. Analyzes ANY input to recommend existing skills, improve them, or create new ones. Uses deep iterative analysis with 11 thinking models, regression questioning, evolution lens, and multi-agent synthesis panel. Phase 0 triage ensures you never duplicate existing functionality.
agent-onboarding
Onbard yourself to this repo that might have X number of other agents running on it. Whenever you are starting off or asked to onboard to team use this skill to give yourself extra awareness of multi-agent and worker context, as well as goals and identity.
Io.Github.Atul Fusionpact/Fusionpact Vectordb
Hybrid vector + reasoning retrieval, agent memory, multi-agent orchestration, MCP server, and RAG.
Aichat
Inter-agent communication for multi-agent Claude Code workflows.
VerifiMind PEAS - RefleXion Trinity
Multi-Agent AI Validation with X-Z-CS RefleXion Trinity. BYOK. v0.5.6 Gateway. EA Registration.
antfarm-workflows
Multi-agent workflow orchestration for OpenClaw. Use when user mentions antfarm, asks to run a multi-step workflow (feature dev, bug fix, security audit), or wants to install/uninstall/check status of antfarm workflows.
Speakmanai
Multi-agent AI pipeline that generates professional Solution Architecture Documents.
ocr
AI-powered multi-agent code review. Simulates a team of Principal Engineers reviewing code from different perspectives. Use when asked to review code, check a PR, analyze changes, or perform code review.
planckatron
Hierarchical Multi-Agent Orchestration System v3.0. Visual planning, parallel execution, zero conflicts.
context-pack
Creates structured handoff briefings between agents. Packages task context, constraints, and progress into a compact packet that subagents can consume without re-reading the full conversation. Prevents the 'lost context' problem in multi-agent delegation.
eino
Eino LLM/AI application development framework assistant (Golang). Use when the user needs to: (1) Build AI agents, (2) Create LLM applications, (3) Implement tool calling, (4) Build multi-agent systems, (5) Create workflows with Graph/Compose, (6) Implement streaming, (7) Human-in-the-loop patterns, or any other Eino framework development tasks. Triggers on phrases like "Eino å¼å", "å建 Agent", "LLM åºç¨", "AI Agent", "Eino æ¡æ¶", "æ建æºè½ä½".
connector-review
Review an OpenMetadata connector against golden standards. Runs multi-agent analysis covering architecture, code quality, type safety, testing, and performance. When a PR number is given, automatically posts the quality summary to the PR description and a detailed review as a PR comment.
Io.Github.RobotFleet HQ/Security Orchestra
Multi-agent MCP platform for data centers and critical power.
moltgrid
The infrastructure backbone for AI agents. Memory, messaging, queues, pub/sub, marketplace, and 20 services to build multi-agent systems.
gastown
Multi-agent orchestrator for Claude Code. Use when user mentions gastown, gas town, gt commands, bd commands, convoys, polecats, crew, rigs, slinging work, multi-agent coordination, beads, hooks, molecules, workflows, the witness, the mayor, the refinery, the deacon, dogs, escalation, or wants to run multiple AI agents on projects simultaneously. Handles installation, workspace setup, work tracking, agent lifecycle, crash recovery, and all gt/bd CLI operations.
google-adk
Use when building AI agents with Google ADK (Agent Development Kit), creating Gemini agents, implementing multi-agent systems, or working with ADK tools and workflows. Covers installation, agent types, function tools, callbacks, sessions, and deployment.
academic-pdf-to-gfm
Convert academic PDF papers to GitHub-renderable GFM markdown with inline figures and correctly formatted math equations. Use this skill when converting research papers, technical reports, or math-heavy PDFs for display on GitHub or GitLab. Also use it when GFM math equations are broken or not rendering on GitHub, when someone asks about the $$-vs-```math decision, when equations look garbled on GitHub, when KaTeX validation is needed, or when investigating why LaTeX renders locally but not on GitHub. Also use when comparing GitHub vs GitLab math rendering, when asking about self-hosting GitLab for math documents, or when looking for a platform that requires less LaTeX workarounds. Covers PDF type detection (Word vs LaTeX vs scanned), tool selection (pymupdf4llm/pdftotext/marker-pdf), image extraction, GitHub math rendering rules ($$-vs-```math decision), GitLab native math support (no workarounds needed), KaTeX validation, and multi-agent adversarial equation verification.
clawd-control
Monitor and manage your Clawdbot agent fleet from within an agent. Query health, sessions, usage, and trigger actions via the Clawd Control dashboard API.
agent-design-review
Designs, reviews, and iterates on LLM agents and agent-like workflows. Use when asked to "design an agent", "review this agent", "improve our system prompt", "optimize prompts for caching", "improve tool calling", "reduce hallucinated tool calls", "add structured outputs", "decide if this should be multi-agent", "reduce false positives", "tune agent thresholds", or "build evals for this agent". Covers architecture choice, cache-friendly prompt templates, tool and schema design, runtime loops, trust boundaries, and eval-driven iteration.
Ateam Mcp
Build, validate, and deploy multi-agent AI solutions from any AI environment.
Io.Github.NitishGourishetty/Contextual Mcp Server
RAG-enabled MCP server using Contextual AI. Supports single-agent and multi-agent modes.
ai-elements
Install AI UI components from the Elements registry. Use when user needs chat interfaces, agentic UIs (tool calls, reasoning, plans), multi-agent dashboards, or AI devtools. Triggers on "AI component", "chat UI", "agent UI", "tool call component", "streaming text", "agentic", "multi-agent", "AI SDK", "chat input", "message bubble", "thinking indicator".
PaperBanana - Academic Illustration Generator
Multi-agent pipeline (Retriever â Planner â Stylist â Visualizer â Critic) for publication-quality academic diagrams, statistical plots, and presentation slides.
agent-development-pack
Curated bundle for building, testing, and coordinating AI agent systems. Includes multi-agent orchestration, agent testing, cross-agent handoff, MCP server building, and prompt engineering. Use when developing AI agent workflows or multi-agent systems.
adk-agent-builder
Scaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional Vertex AI Agent Engine deployment. Use when building, scaffolding, or deploying ADK agents on Google Cloud, or when wiring ADK tools and orchestration patterns. Trigger with "build an ADK agent", "scaffold an agent on ADK", or "deploy to Agent Engine".
Nervous System - Multi-Agent AI Governance
Governance layer for multi-agent AI systems with behavioral enforcement and drift detection.
Flow Nexus
Cloud-powered AI platform with multi-agent swarms, sandboxes, and workflow automation
AgentMesh Governance Skill
> Trust, identity, and governance for multi-agent systems.
cdt
Multi-agent development workflow using Agent Teams. Supports five modes: plan (architect teammate + PM teammate debate â plan.md), dev (developer teammate + code-tester teammate + qa-tester teammate + reviewer teammate iterate â code), full (plan â approval gate â dev), auto (plan â dev, no gate), and bugfix (tester + developer + reviewer TDD triad â fix + PR). Use when tasks benefit from collaborative agent teammates with peer messaging.
evolution-architecture-review
Multi-agent architecture evolvability review for this repository. Use when the user wants to analyze current architecture quality, evolvability, fitness functions, coupling, boundary clarity, delivery flow, or phased evolution strategy. Designed to be invoked from Claude Code with prompts like `/evolution-architecture-review analyze the current architecture evolvability`.
Code Optimizer
Parallel multi-agent code optimization audit. Spawn 13 specialist agents simultaneously, each hunting for a different class of performance problem using pattern-based detection.
agentopology
Design, validate, scaffold, and visualize multi-agent topologies using the .at language
beads-orchestration
Multi-agent orchestration for GitHub Issues using BEADS task tracking