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…
Lot de plugins · par cdeust
Aperçu
zetetic-team-subagents est un lot de plugins pour les outils de code IA publié par cdeust. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Nous l'avons vu pour la première fois le 2026-10-13 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 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.
Ce qu'il demande
- S'installe comme lot de plugins
- Paramètres : 1
- Hooks : 19
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 cdeust/cortex
/plugin install zetetic-team-subagents@cortex-pluginsOù il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire cdeust/cortex (Ouvrir la source sur GitHub) | Référencé | 2.42.0 | Forks (GitHub): 2 Étoiles (GitHub): 7 |
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) |
|---|---|---|
| cortex-plugins | cdeust/cortex | 73 |
Quelles places de marché nous lisons et comment nous les vérifions
Ce que contient le lot
Tel que publié sur Community GitHub marketplaces.
Serveurs MCP: 1
memory
Skills: 15
boundary-designcausal-auditdecision-bias-checkestimationevidence-synthesisexperience-and-transmissionfailure-forensicsformal-correctnessmeasurement-disciplinenarrative-sensemakingnormative-designproblem-reframing
Afficher les autres : 3
representation-and-possibilitystructure-discoverysystems-leverage
Commandes: 2
_indexdesign
Agents: 23
advisorarchitectcode-reviewerdata-scientistdbadevops-engineerengineerexperiment-runnerfrontend-engineergit-historianlatex-engineermemory-writer
Afficher les autres : 11
mlopsorchestratorpaper-writerprofessorrefactorerresearch-scientistreviewer-academicsecurity-auditorsimplifiertest-engineerux-designer
Hooks: 7
NotificationPostToolUsePostToolUseFailurePreToolUseSessionStartStopSubagentStop
Règles: 5
agent-routing-tableagent-vs-skill-classificationcoding-standardsgates-policyskill-routing-table
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.
-
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…
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)
-
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…
Référencé sur 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…
Référencé sur 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.
Référencé sur 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
Référencé sur 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.
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.
-
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.
Référencé sur 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.
Référencé sur 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.
Référencé sur 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.
Référencé sur 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
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.
C'est votre plugin ?
Ajoutez-le à vos projets et prouvez que vous le maintenez : un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS. Vous recevez 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.