universal
Universal AI agents collection: 28+ specialized agents with strict boundary enforcement, project-specific agent creation (/initx), and intelligent task routing (Level 0-5…
Lot de plugins · par Toskysun
Aperçu
universal est un lot de plugins pour les outils de code IA publié par Toskysun. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Nous l'avons vu pour la première fois le 2026-11-09 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-11-09.
Universal AI agents collection: 28+ specialized agents with strict boundary enforcement, project-specific agent creation (/initx), and intelligent task routing (Level 0-5 complexity assessment)
Ce qu'il demande
- S'installe comme lot de plugins
Aucune des places de marché que nous lisons ne publie ses outils ni les réglages qu'il demande.
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Fonctionne avec
- Claude Code
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En plugin Claude Code
Construit à partir de ce que déclare Community GitHub marketplaces.
/plugin marketplace add toskysun/sub-agents
/plugin install universal@sub-agents
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire toskysun/sub-agents (Ouvrir la source sur GitHub) | Référencé | 1.0.0 | Forks (GitHub): 12 Étoiles (GitHub): 111 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Listé dans une place de marché communautaire
| Place de marché | Dépôt | Étoiles (GitHub) |
|---|---|---|
| sub-agents | toskysun/sub-agents | 111 |
Quelles places de marché nous lisons et comment nous les vérifions
Ce que contient le lot
Tel que publié sur Community GitHub marketplaces.
Commandes: 2
aiinitx
Agents: 28
android-developerandroid-hooking-expertbackend-developercode-review-expertctodevops-engineerfastapi-expertflask-expertfrontend-developergo-architectgoogle-ui-designerinfrastructure-developer
Afficher les autres : 16
java-developerlua-developermalware-analystmobile-ui-designerproduct-managerqa-engineerreact-developerreverse-engineerrust-architectspring-architecttask-dispatch-directortechnical-researchertechnical-solution-architecttest-expertvue-developerxposed-developer
Ce qui a changé
- Est devenu un produit que nous suivons
- Community GitHub marketplaces: apparu
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
Default agent for handling complex, multi-step tasks with automatic delegation capabilities.
-
crewai
Build role-based multi-agent systems with CrewAI. Agents with Role/Goal/Backstory, task design, crew composition (sequential or hierarchical), tool integration, callbacks, and…
-
build-multi-agent-system-with-crewai
Design and orchestrate multi-agent AI teams using the CrewAI framework with agent roles, task decomposition, and crew processes.
-
Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7…
-
agents
LLM agent frameworks including LangChain, LlamaIndex, CrewAI, and AutoGPT. Use when building chatbots, autonomous agents, or tool-using systems.
-
Discover public AI agents, reusable recipes, and trusted benchmark evidence by task.
-
Swarm orchestration workflows, curated knowledge skills, tiered worker agents, and fail-soft guardrail hooks.
-
Auto-improving AI sub-agents that learn from their mistakes across sessions
-
10 AI agent engineering skills: knowledge base injection, entity memory, multi-model routing, proactive intelligence, MCP servers, parallel orchestration
-
AI model invocation, multi-agent orchestration, prompt distillation, and structured reasoning frameworks.
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
Cross-model AI agent communication protocol. Connect Claude, Codex, and Gemini agents through a shared file-based messaging layer. Features include: control tower orchestration…
-
JoAi is a platform for creating and managing your own AI agents.
-
Make your AI agent get stronger with use. Includes two skills: /skill-review (periodic audit of all skills for staleness, missing gotchas, and improvements) and…
-
A modular plugin that packs specialised agents into teams and allows user to interact with them at the higher level of abstraction. Like with real-world company departments.
-
Open-source AI agent skills for enterprise deployment. Three skills: (1) ServiceNow AI Agent Studio reference with data model, entity mapping, tool types, prompting patterns, and…
Référencé sur Claude Code: claude-plugins-official (5)
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Connect 8,000+ apps to your AI workflow. Discover, enable, and execute Zapier actions directly from your client.
-
Help Claude Code champions run hackathons and office hours, find patterns worth sharing, help teammates climb the steps of AI adoption, and write a shareable AI maturity report.
-
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore, connecting tools, memory, policies, evaluation, debugging, and production…
Référencé sur Claude: knowledge-work-plugins (5)
-
Connect 8,000+ apps to your AI workflow. Discover, enable, and execute Zapier actions directly from your client.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Triage tickets, draft responses, escalate issues, and build your knowledge base. Research customer context and turn resolved issues into self-service content.
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
Référencé sur Community GitHub marketplaces (5)
-
Default agent for handling complex, multi-step tasks with automatic delegation capabilities.
-
crewai
Build role-based multi-agent systems with CrewAI. Agents with Role/Goal/Backstory, task design, crew composition (sequential or hierarchical), tool integration, callbacks, and…
-
build-multi-agent-system-with-crewai
Design and orchestrate multi-agent AI teams using the CrewAI framework with agent roles, task decomposition, and crew processes.
-
Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7…
-
agents
LLM agent frameworks including LangChain, LlamaIndex, CrewAI, and AutoGPT. Use when building chatbots, autonomous agents, or tool-using systems.
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
-
Multi-model council for Copilot CLI: three subagents on different model families (Anthropic, OpenAI, Google) answer independently, then build on each other or attack the leading…
-
crowdstrike-charlotte-ai-agentworks
CrowdStrike Charlotte AI AgentWorks skills for creating, managing, and invoking AI agents via external Falcon API Gateway endpoints. Includes agent lifecycle management…
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Référencé sur Cursor: cursor/plugins (5)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Enrich people and companies, run AI research agents.
Référencé sur Docker MCP Catalog (5)
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Real-time web search, reasoning, and research through Perplexity's API
-
Production-ready RAG service to search and retrieve data from your documents.
-
Provides tools to search and retrieve Google Gemini API documentation.
Référencé sur Official MCP Registry (5)
-
Discover public AI agents, reusable recipes, and trusted benchmark evidence by task.
-
buildagents io.github.aurimasAPG/buildagents
Design AI agent teams for a business problem and generate ready-to-paste Claude Code prompts.
-
Run and manage AI agent tasks on tavya: create, search and steer tasks, read wikis, call the API.
-
Find AI agents for a task, brief one, and follow the job to its result.
-
AI predictions, model comparison, research briefs and web search from an autonomous AI
Référencé sur PyPI (MCP servers) (5)
-
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
-
marm-mcp-server io.github.Lyellr88/marm-mcp-server
Universal MCP Server with advanced AI memory capabilities and semantic search.
-
Gives AI agents the function they asked for, not the file. Commercial use needs a license.
-
air-blackbox-mcp io.github.airblackbox/air-blackbox-mcp
EU AI Act compliance scanner for Python AI agents. 14 tools across 6 articles.
-
Model Context Protocol (MCP) To LangChain Tools Conversion Utility
Référencé sur npm registry (MCP servers) (5)
-
agentic-flow (external: maintained in ruvnet/agentic-flow, pinned to commit d19737b, plugin 3.4.0): the agentic-flow MCP server pinned to agentic-flow@3.4.0 (ReasoningBank…
-
Contextual prompts and agent skills for 140+ AI platforms.
-
Real-world actions for AI coding agents: an inbox with approval outbox, deploys, domains, payments.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Community GitHub marketplaces. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.