mmpm-cognitive-os
Constitutional multi-agent decision architecture for major programme governance. 16 agents across 4 layers (Programme Cognitive Chair, 7 Strategic Domain agents, 5 Cross-Domain…
Lot de plugins · par chiKeka
Aperçu
mmpm-cognitive-os est un lot de plugins pour les outils de code IA publié par chiKeka. Places de marché que nous lisons et qui le référencent : 1 (Claude Code: claude-plugins-community). Nous l'avons vu pour la première fois le 2026-10-11 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-10-13.
Constitutional multi-agent decision architecture for major programme governance. 16 agents across 4 layers (Programme Cognitive Chair, 7 Strategic Domain agents, 5 Cross-Domain Coupling agents, 3 Adversarial Governance agents) grounded in Oxford MMPM doctrine. Supports 6 operating modes: Tutor (doctrine explanation), Analyst (focused domain analysis), Council (full multi-agent deliberation), Exploration (structured scenario analysis), Research (academic support), and Brief (executive summaries). Features constitutional principles with operational checks, evidence quality gates, dissent preservation, confidence aggregation, and mandatory adversarial review for high-stakes decisions.
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 Claude Code: claude-plugins-community.
/plugin marketplace add anthropics/claude-plugins-community
/plugin install mmpm-cognitive-os@claude-communityOù il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Claude Code: claude-plugins-community (Ouvrir la source sur GitHub) | Référencé | 1.0.0 | Forks (GitHub): 0 Étoiles (GitHub): 0 |
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.
Ce que contient le lot
Tel que publié sur Claude Code: claude-plugins-community.
Commandes: 8
analystbriefcontextcouncilmemoryresearchscenariotutor
Agents: 16
cascading-effects-agentcommercial-contracting-agentconstraint-tradeoff-agentcontrarian-agentemergence-fragility-agentfutures-foresight-agentgovernance-stakeholder-agentinterface-integrity-agentorganizational-design-agentprogramme-cognitive-chairpublic-value-ethics-agentred-team-agent
Afficher les autres : 4
risk-uncertainty-fragility-agentsocio-technical-impact-agentstrategic-leadership-performance-agenttemporal-dynamics-agent
Ce qui a changé
Rien n'a bougé sur ce plugin depuis que nous le suivons.
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.
-
Public governance wiki where AI agents propose, debate, amend and vote.
-
Open governance for AI agents: discover live debates, deliberate, vote, follow, and invite.
-
dingdawg-governance io.github.dingdawg/dingdawg-governance
Universal governance layer for AI agents. MCP-native, fail-closed, audit proofs and rollback.
-
Decision-control specialist for AI fitness and human-performance agents.
-
Quesen Deterministic Agent Decision Layer
Deterministic decision layer for autonomous agents: reproducible PROCEED/REVIEW/SKIP verdicts.
-
Governance layer for AI coding agents: knowledge-graph grounding, session audit, policy controls.
-
Constitutional governance framework for Claude Code. Set behavioral modes (High Security, High Integrity, Creative, Research, and more), enforce role hierarchy (Primary →…
-
Implements the SOSA methodology as a real-time governance layer for Claude Code sessions. Every MCP tool call is classified by impact level, high-impact actions are gated with…
-
Strategic BDI reasoning engine for autonomous AI agents with spatial utility and replanning.
-
DCVE methodology for systematic project planning, and Discuss for multi-perspective debate and decision-making — both powered by Claude Code agent teams
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)
-
Constitutional governance framework for Claude Code. Set behavioral modes (High Security, High Integrity, Creative, Research, and more), enforce role hierarchy (Primary →…
-
Implements the SOSA methodology as a real-time governance layer for Claude Code sessions. Every MCP tool call is classified by impact level, high-impact actions are gated with…
-
DCVE methodology for systematic project planning, and Discuss for multi-perspective debate and decision-making — both powered by Claude Code agent teams
-
deepmiro io.github.kakarot-dev/deepmiro
Simulate hundreds of AI agents to predict how communities react to events and policies
-
AI advisory panel for decisions that matter. Decision Council assembles a panel of independent AI advisors to debate your decision from multiple angles, cross-examine each other's…
Référencé sur Claude Code: claude-plugins-official (5)
-
Agentforce Agent Development Life Cycle — author, discover, scaffold, deploy, test, and optimize .agent files
-
Official Convex plugin for Claude Code with bundled Convex skills, the convex-expert subagent for code-writing, a runtime-error monitor, and MCP access for backend development…
-
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.
-
MCP server for AI coding agents to create, manage, and interact with Quarkus applications. Provides tools for project scaffolding, dev mode lifecycle, extension skills, Dev MCP…
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.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
-
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
-
Work with incident.io from Claude: respond to and investigate incidents, check on-call schedules and escalations, and author the runbooks, skills and architecture docs that…
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Consensus is the go-to MCP for academic research. Connect directly to 220M+ peer-reviewed papers to search, synthesize, and build structured research outputs from within your…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
CrowdStrike Falcon Fusion skills for authoring, deploying, and executing Fusion workflows. Includes live action discovery, YAML authoring with schema validation, workflow import…
Référencé sur Community GitHub marketplaces (5)
-
AI advisory board (MCP): quotes verified word-for-word against public-domain texts, fail-closed
-
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…
-
Tuning Engines - Governed AI Runtime
Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.
-
One system around coding agents to run, verify, recover, and hand off software work.
-
archsteer io.github.einvoice-dev1/archsteer
Architecture governance for AI agents: query the live model, get target patterns, check files.
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
Self-Learning Multi-agent orchestration framework for spec-driven development and automated verification. With smarter tool calling and leaner context.
-
Three-agent workflow for orchestrated software delivery with an orchestrator plus implementation and QA subagents.
-
Premium planning, thrifty implementation
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
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…
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Référencé sur Cursor: cursor/plugins (5)
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
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.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Scaffold and validate new agent plugins.
Référencé sur Docker MCP Catalog (5)
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
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.
-
An MCP server to help make U.S. Government open datasets AI-friendly.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
Référencé sur Official MCP Registry (5)
-
Public governance wiki where AI agents propose, debate, amend and vote.
-
Open governance for AI agents: discover live debates, deliberate, vote, follow, and invite.
-
dingdawg-governance io.github.dingdawg/dingdawg-governance
Universal governance layer for AI agents. MCP-native, fail-closed, audit proofs and rollback.
-
Decision-control specialist for AI fitness and human-performance agents.
-
Quesen Deterministic Agent Decision Layer
Deterministic decision layer for autonomous agents: reproducible PROCEED/REVIEW/SKIP verdicts.
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 Claude Code: claude-plugins-community. 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.