zetetic-team-subagents
Zetetic agent team for Cortex — 97 genius reasoning patterns from history's greatest minds + 23 team specialists (architect, engineer, code-reviewer, refactorer, …), 78 skills, 26…
Plugin-Paket · von cdeust
Überblick
zetetic-team-subagents ist ein Plugin-Paket für KI-Coding-Tools von cdeust. Marktplätze, die wir lesen und die es listen: 1 (Community GitHub marketplaces). Wir haben es erstmals am 2026-10-13 gesehen und seither keine Änderung erfasst. Stand unseres Marktplatz-Durchlaufs vom 2026-10-13.
Zetetic agent team for Cortex — 97 genius reasoning patterns from history's greatest minds + 23 team specialists (architect, engineer, code-reviewer, refactorer, …), 78 skills, 26 commands, 42 tools, 20 hooks, under one epistemic standard none of them can bypass. Composes with Cortex memory: every agent recalls/remembers through the Cortex MCP and routes via /genius, /agent, /zetetic, /quality, /research commands.
Was es abfragt
- Wird als Plugin-Paket installiert
- Einstellungen: 1
- Deklarierte Hooks: 19
Was es deklariert, abfragt und ausführt, vollständig
Installieren Sie nur Plugins von Entwicklern, denen Sie vertrauen. Wir zeigen, was die Marktplätze veröffentlichen, und testen keine Plugins.
Funktioniert mit
- Claude Code
Nach den Marktplätzen, die ihn listen, und dem angegebenen MCP-Transport, wie jeder Client sie dokumentiert. Wir testen keine Plugins.
Verbinden
Befehle und Konfigurationen nur aus den Angaben der Marktplätze. Wir führen sie nicht für Sie aus und testen keine Plugins.
Als Claude-Code-Plugin
Erstellt aus den Angaben von Community GitHub marketplaces.
/plugin marketplace add cdeust/cortex
/plugin install zetetic-team-subagents@cortex-plugins
Wo es veröffentlicht ist
| Marktplatz | Status | Version | Zahlen | Verifiziert | Erstmals gesehen |
|---|---|---|---|---|---|
| Community-Marktplatz cdeust/cortex (Quelle auf GitHub öffnen) | Gelistet | 2.42.0 | Forks (GitHub): 2 Sterne (GitHub): 7 |
Nicht markiert |
Jede Zahl stammt vom jeweiligen Marktplatz und wird nie über Marktplätze hinweg addiert. Ein Marktplatz ohne veröffentlichte Zahl zeigt keine: keine Zahl ist nicht null.
In einem Community-Marktplatz gelistet
| Marktplatz | Repository | Sterne (GitHub) |
|---|---|---|
| cortex-plugins | cdeust/cortex | 73 |
Was das Paket enthält
So veröffentlicht auf Community GitHub marketplaces.
MCP-Server: 1
memory
Skills: 15
boundary-designcausal-auditdecision-bias-checkestimationevidence-synthesisexperience-and-transmissionfailure-forensicsformal-correctnessmeasurement-disciplinenarrative-sensemakingnormative-designproblem-reframing
Weitere anzeigen: 3
representation-and-possibilitystructure-discoverysystems-leverage
Befehle: 2
_indexdesign
Agenten: 23
advisorarchitectcode-reviewerdata-scientistdbadevops-engineerengineerexperiment-runnerfrontend-engineergit-historianlatex-engineermemory-writer
Weitere anzeigen: 11
mlopsorchestratorpaper-writerprofessorrefactorerresearch-scientistreviewer-academicsecurity-auditorsimplifiertest-engineerux-designer
Hooks: 7
NotificationPostToolUsePostToolUseFailurePreToolUseSessionStartStopSubagentStop
Regeln: 5
agent-routing-tableagent-vs-skill-classificationcoding-standardsgates-policyskill-routing-table
Was sich geändert hat
- Wird seitdem als Produkt geführt
- Community GitHub marketplaces: erschienen
Ähnliche Plugins
Produkte, deren eigene Namen, Beschreibungen, Werkzeuge und Skills diesem der Bedeutung nach am nächsten sind, auf allen Marktplätzen, die wir lesen. Die Nähe ist nur innerhalb dieser Liste geordnet.
-
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.
-
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…
-
Convene a team of specialist agents out of a 20-agent roster in a 3-round deliberation council on your hardest engineering decisions. Walk away with a unified design and a phased…
-
Persistent decision memory for AI coding agents: rationale, rejected approaches, and entity history.
-
steelmind io.github.stabgan/steelmind
Structured thinking + steel-manning verification for AI agents. Backed by 43+ papers.
-
Standalone Markdown-only Agent Team plugin for Claude Code and Codex. Coordination happens through ordinary Markdown files in the current project: agent-team/ ├──…
-
The user can inject experts into their Claude Code session. It provides the programmed experts with specific priorities, communication styles, and domain knowledge to help. Each…
-
Autonomous skill improvement through parallel research agents. Inspired by Karpathy's autoresearch methodology, it spawns 5 parallel agents (domain expert, quality auditor…
-
Chat with your Zihin.ai agents, list them and load platform skills from any MCP client.
-
8-habit-ai-dev replaces ad-hoc AI prompting with a structured 7-step workflow: Research → Requirements → Design → Breakdown → Build Brief → Review → Deploy. Each step maps to one…
Ähnliche Plugins nach Marktplatz
Dieselbe Frage an jeden Marktplatz einzeln: Gibt es dort ein Gegenstück zu diesem Plugin?
Gelistet auf Claude Code: claude-plugins-community (5)
-
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.
-
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…
-
Convene a team of specialist agents out of a 20-agent roster in a 3-round deliberation council on your hardest engineering decisions. Walk away with a unified design and a phased…
-
Standalone Markdown-only Agent Team plugin for Claude Code and Codex. Coordination happens through ordinary Markdown files in the current project: agent-team/ ├──…
-
The user can inject experts into their Claude Code session. It provides the programmed experts with specific priorities, communication styles, and domain knowledge to help. Each…
Gelistet auf Claude Code: claude-plugins-official (5)
-
Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to…
-
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Matt Pocock's agent skills for real engineering — grilling, spec/ticket flows, TDD, code review, domain modelling and more. Plug-and-play, not vibe coding.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
Gelistet auf Claude: knowledge-work-plugins (5)
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
Gelistet auf Codex: openai-curated (openai/plugins) (5)
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
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.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Answer product and business questions with data
Gelistet auf Community GitHub marketplaces (5)
-
Persistent decision memory for AI coding agents: rationale, rejected approaches, and entity history.
-
AI advisory board (MCP): quotes verified word-for-word against public-domain texts, fail-closed
-
Ask other AI agents, get a second opinion, and publish or challenge knowledge claims on ANP2's public signed log.
-
Teaches Claude Code to use the AgenticSystemCore engine (agsc) in all six modes: build a knowledge node from Markdown, read and cite one, propose changes for a person to merge…
-
Automated context collection: mine your past agent sessions for repeated instructions and corrections, and distill them into CLAUDE.md / AGENTS.md with your approval.
Gelistet auf 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.
-
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…
-
7 specialized agents covering the full software development lifecycle from UX design and architecture to security and DevOps.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Turn your Copilot sessions into proof of impact — research-grounded HTML reports with effort estimation, skills analysis, and ROI metrics from local session logs.
Gelistet auf Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Advanced Security plugin for GitHub Copilot.
Gelistet auf Cursor: cursor/plugins (5)
-
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.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Search company knowledge and draft verified answers.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
Gelistet auf Docker MCP Catalog (5)
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Connector for Perplexity API, to enable real-time, web-wide research.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Production-ready RAG service to search and retrieve data from your documents.
Gelistet auf Official MCP Registry (5)
-
Persistent decision memory for AI coding agents: rationale, rejected approaches, and entity history.
-
steelmind io.github.stabgan/steelmind
Structured thinking + steel-manning verification for AI agents. Backed by 43+ papers.
-
Chat with your Zihin.ai agents, list them and load platform skills from any MCP client.
-
Multi-expert decision intelligence with transparent synthesis and auditable workflows.
-
AI advisory board (MCP): quotes verified word-for-word against public-domain texts, fail-closed
Nach Bedeutung gefunden, nicht über gemeinsamen Code oder ein gemeinsames Repository: Ähnliche Plugins bleiben getrennte Produkte, und dies ist weder eine Bewertung noch eine Empfehlung.
Ist das Ihr Plugin?
Fügen Sie es Ihren Projekten hinzu und belegen Sie, dass Sie es pflegen: mit einer Datei im Repository, einer Datei auf Ihrer Domain oder einem DNS-Eintrag. Sie erhalten Hinweise, wenn ein Marktplatz es aufnimmt, entfernt, sein Verified-Zeichen oder seine Anforderungen ändert, und sein Remote-Endpunkt wird wie ein Webdienst überwacht.
Daten von Community GitHub marketplaces. Die Zahlen stammen aus unseren eigenen regelmäßigen Durchläufen über die Marktplätze, zuletzt abgerufen am . Kontaktdaten von Plugin-Herausgebern veröffentlichen wir nicht.