Quint LLM Kit
Agent skills for working with Quint — the formal specification language for distributed systems. Covers spec writing, TLA+ translation, code-to-spec generation, spec review, and…
Plugin bundle · by Informal Systems
About
Quint LLM Kit is a plugin bundle for AI coding tools published by Informal Systems. Marketplaces we read that list it: 1 (Community GitHub marketplaces). The last change we recorded was on 2026-11-07. As of our marketplace pass on 2026-11-07.
Agent skills for working with Quint — the formal specification language for distributed systems. Covers spec writing, TLA+ translation, code-to-spec generation, spec review, and verification framing.
What it asks for
- Installs as a plugin bundle
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a Claude Code plugin
Built from what Community GitHub marketplaces declares.
/plugin marketplace add quint-co/quint-llm-kit
/plugin install quint-llm-kit@quint-llm-kitWhere it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace quint-co/quint-llm-kit (Open the source on GitHub) | Listed | 1.0.0 | Forks (GitHub): 13 Stars (GitHub): 118 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
Listed in one community marketplace
| Marketplace | Repository | Stars (GitHub) |
|---|---|---|
| quint-llm-kit | quint-co/quint-llm-kit | 118 |
How its figures have moved
- 2026-11-05116
- 2026-11-07118
Each dot is a day we read a different number; flat stretches are days the number did not move. Figures of different marketplaces are never added up.
What the bundle contains
As published on Community GitHub marketplaces.
Skills: 3
quint-execute-specquint-langquint-modeling
What changed
- Became a product we track
- Community GitHub marketplaces: appeared
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Formal methods toolkit for multi-agent development. Define inter-agent contracts in VDM-SL, verify with VDMJ, prove with Z3, and generate TypeScript/Python code with runtime…
-
SpecForge — compile natural-language requirements into spec.yaml bundles and implement from spec inside Claude Code.
-
Code intelligence platform for AI agents. 20 tools for architecture, security & impact analysis.
-
Accelerates software delivery by automating SDLC stages inside Claude Code — Claude facilitates writing specs and designing architecture, then autonomously builds implementation…
-
Spec-Driven Development framework for Data Engineering — 58 agents, 24 KB domains, 5-phase SDD workflow, 31 commands
-
A set of strict, senior-level engineering guardrails and security standards for AI coding agents.
-
Architecture intelligence, security analysis, and living docs. 15 tools, Mermaid output.
-
30+ deterministic dev and delivery tools: linting, metrics, diagrams, model advice, AI-text checks.
-
agents-development-architecture
Expert agents for software architecture, backend development, and system design
-
software-architecture-analysis
Use this skill to reverse-engineer an existing software system, map its architecture, data flow, privacy posture, coupling, quality characteristics, and feature surface, then…
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
Formal methods toolkit for multi-agent development. Define inter-agent contracts in VDM-SL, verify with VDMJ, prove with Z3, and generate TypeScript/Python code with runtime…
-
SpecForge — compile natural-language requirements into spec.yaml bundles and implement from spec inside Claude Code.
-
Accelerates software delivery by automating SDLC stages inside Claude Code — Claude facilitates writing specs and designing architecture, then autonomously builds implementation…
-
A set of strict, senior-level engineering guardrails and security standards for AI coding agents.
-
Prevents subagent tech debt by injecting project architectural context (module boundaries, CLAUDE.md rules, conventions) into every subagent's prompt. Validates code placement and…
Has a listing on Claude Code: claude-plugins-official (5)
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
-
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.
-
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…
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
Has a listing on Claude: knowledge-work-plugins (5)
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Bring Qodo's codebase intelligence, coding standards, and code review into your coding agent.
-
Agentic engineering skills for Qt software development — Qt C++/QML code review, QML coding, and Qt C++/QML code documentation.
-
Security review for Claude-generated code. Pattern-based warnings on edits, LLM-powered diff review on Stop, and an agentic commit reviewer that catches injection, XSS, SSRF…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
AI-powered code review in Codex, powered by CodeRabbit.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Qodo setup, code intelligence, and review workflows.
-
Inspect repositories, triage pull requests and issues, debug CI, and publish changes through a hybrid GitHub connector and CLI workflow.
Has a listing on Community GitHub marketplaces (5)
-
Spec-Driven Development framework for Data Engineering — 58 agents, 24 KB domains, 5-phase SDD workflow, 31 commands
-
agents-development-architecture
Expert agents for software architecture, backend development, and system design
-
software-architecture-analysis
Use this skill to reverse-engineer an existing software system, map its architecture, data flow, privacy posture, coupling, quality characteristics, and feature surface, then…
-
Autonomous end-to-end development system - from requirement to production-ready code with zero manual intervention
-
Skills for AI-native development: /assess (codebase readiness scoring + complexity hotspot SVG) and /huddle (Six Thinking Hats deliberation with Fibonacci team sizing). Also…
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
7 specialized agents covering the full software development lifecycle from UX design and architecture to security and DevOps.
-
Model, visualize, and deploy applications with Radius from the GitHub Copilot app and CLI.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Analyze any repository and generate AI-ready configuration — AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Advanced Security plugin for GitHub Copilot.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
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…
Has a listing on Cursor: cursor/plugins (5)
-
Build apps, scripts, and automations with the TypeScript SDK.
-
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.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Skills for building on the Cursor Origin API. Fetch the live spec first, then follow the Origin rules for credentials, scopes, webhooks, paging, and errors. Includes a skill that…
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
Has a listing on Docker MCP Catalog (5)
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Tools and resources for writing Effect code in Typescript.
-
Fetch, validate, and generate code or curl from any OpenAPI or Swagger spec - all from a single URL.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
Has a listing on Official MCP Registry (5)
-
Code intelligence platform for AI agents. 20 tools for architecture, security & impact analysis.
-
Architecture intelligence, security analysis, and living docs. 15 tools, Mermaid output.
-
30+ deterministic dev and delivery tools: linting, metrics, diagrams, model advice, AI-text checks.
-
Tentra — Memory for AI Coding Agents
Memory for AI coding agents. Call graphs + refactor safety + persistent code context. 35 MCP tools.
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
Has a listing on PyPI (MCP servers) (5)
-
Gives AI agents the function they asked for, not the file. Commercial use needs a license.
-
A code intelligence graph that gives AI coding agents deep, token-efficient understanding of your codebase.
-
repo-graph io.github.James-Chahwan/repo-graph
Structural graph map of any codebase so LLMs navigate by structure, not guesswork.
-
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
-
air-blackbox-mcp io.github.airblackbox/air-blackbox-mcp
EU AI Act compliance scanner for Python AI agents. 14 tools across 6 articles.
Has a listing on npm registry (MCP servers) (5)
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
-
consult io.github.neelsatyavolu/consult
Get a second opinion on your code from every coding agent you have. No API keys.
-
140 deterministic tools for your AI: logs, tests, SQL, diagrams, SPARQL. Local, no network.
-
speclock io.github.sgroy10/speclock
AI Constraint Engine — enforces CLAUDE.md and .cursorrules as laws. 51 MCP tools.
-
AI-powered virtual IT department via MCP — codebase intelligence, 9-agent scrum team, sprint management, and React dashboard in one npm package
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Want this mark on your plugin in our catalog?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record, and you can show this mark on the card, with live banners for your site and README. How verification works
You also get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.