ralph-starter
Run autonomous AI coding loops with ralph-starter. Orchestrate Claude Code, Cursor, Codex, Gemini CLI, and more to build software from specs automatically.
Lot de plugins · par Ruben Marcus
Aperçu
ralph-starter est un lot de plugins pour les outils de code IA publié par Ruben Marcus. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Nous l'avons vu pour la première fois le 2026-11-04 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-11-05.
Ce qu'il demande
- S'exécute sur votre machine
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 rubenmarcus/ralph-starter
/plugin install ralph-starter@ralph
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire rubenmarcus/ralph-starter (Ouvrir la source sur GitHub) | Référencé | 0.4.0 | Forks (GitHub): 9 Étoiles (GitHub): 107 |
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) |
|---|---|---|
| ralph | rubenmarcus/ralph-starter | 107 |
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
ralph-starter
Skills: 9
ralph-figmaralph-githubralph-initralph-linearralph-notionralph-planralph-runralph-taskralph-validate
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.
-
Autonomous end-to-end development system - from requirement to production-ready code with zero manual intervention
-
Autonomous Development Orchestrator for Claude Code. Spec → Plan → Tasks → 100% Working App. Multi-agent pipeline with zero manual intervention.
-
Comprendo gates AI implementation behind a visual developer approval step. When you type /comprendo <task>, Claude reads your codebase, builds a structured plan with before/after…
-
Plan and autonomously build a software task end-to-end. One ready-to-paste /goal, adaptive phase count, memory preload + writeback, 3-strike self-healing recovery. Works on Claude…
-
Guild turns Claude Code into a self-evolving team of specialist agents for larger software tasks. It plans before execution, selects the right specialists, assembles focused…
-
Autonomous spec-driven development loop for Claude Code. Three commands: brainstorm, plan, execute.
-
Spec-driven workflow for AI coding agents: PRD, plan, check, and archive features using tracer-bullet vertical slices.
-
Contract-driven agentic coding workflow. spectre guides you through Scope, Plan, Execute, Clean, Test, Rebase, and Learn flows. Start with /spectre:scope.
-
project-scaffolder-synaptic-edition
Generate a complete project knowledge base from a single brief, then orchestrate development with an AI project leader, quality pipeline, and skills that learn from experience…
-
Strict, routed architectural guardrails for AI coding agents, powered by ParselFire Core.
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)
-
Comprendo gates AI implementation behind a visual developer approval step. When you type /comprendo <task>, Claude reads your codebase, builds a structured plan with before/after…
-
Guild turns Claude Code into a self-evolving team of specialist agents for larger software tasks. It plans before execution, selects the right specialists, assembles focused…
-
Spec-driven workflow for AI coding agents: PRD, plan, check, and archive features using tracer-bullet vertical slices.
-
project-scaffolder-synaptic-edition
Generate a complete project knowledge base from a single brief, then orchestrate development with an AI project leader, quality pipeline, and skills that learn from experience…
-
Comprehensive software development lifecycle plugin that takes task from the idea to merged PR autonomously. Core capabilities: 1. Dynamic Project Inspector On every session…
Référencé sur 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
-
Analyze codebases and recommend tailored Claude Code automations such as hooks, skills, MCP servers, and subagents.
-
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…
Référencé sur Claude: knowledge-work-plugins (5)
-
Bring Qodo's codebase intelligence, coding standards, and code review into your coding agent.
-
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.
-
Official Buildkite skills for Claude Code, Cursor, and other AI coding agents — pipelines, migration, preflight, agent runtime, CLI, and API
-
Keep your coding agent up to date with the latest web best practices
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
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.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Inspect repositories, triage pull requests and issues, debug CI, and publish changes through a hybrid GitHub connector and CLI workflow.
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
Référencé sur Community GitHub marketplaces (5)
-
Autonomous end-to-end development system - from requirement to production-ready code with zero manual intervention
-
Autonomous Development Orchestrator for Claude Code. Spec → Plan → Tasks → 100% Working App. Multi-agent pipeline with zero manual intervention.
-
Plan and autonomously build a software task end-to-end. One ready-to-paste /goal, adaptive phase count, memory preload + writeback, 3-strike self-healing recovery. Works on Claude…
-
Autonomous spec-driven development loop for Claude Code. Three commands: brainstorm, plan, execute.
-
Contract-driven agentic coding workflow. spectre guides you through Scope, Plan, Execute, Clean, Test, Rebase, and Learn flows. Start with /spectre:scope.
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
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…
-
Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
-
Model, visualize, and deploy applications with Radius from the GitHub Copilot app and CLI.
-
7 specialized agents covering the full software development lifecycle from UX design and architecture to security and DevOps.
-
Generic cross-repo command center canvas for GitHub Copilot with onboarding, focus planning, repo health, work signals, and session cleanup.
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Advanced Security plugin for GitHub Copilot.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
code-apps-preview
Build and deploy Power Apps code apps using React, Vite, and Power Platform connectors.
Référencé sur Cursor: cursor/plugins (5)
-
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…
-
Build apps, scripts, and automations with the TypeScript SDK.
-
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.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
Référencé sur 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.
-
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
-
MCP server for terminal commands, file operations, and process management
-
Tools and resources for writing Effect code in Typescript.
Référencé sur Official MCP Registry (5)
-
PAPI: Persistent Adaptive Project Intelligence
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
-
Gives AI agents the function they asked for, not the file. Commercial use needs a license.
-
Autonomous factory that finds real developer pain points and builds small paid AI tools to fix them.
-
Start, prompt and read AI coding agent sessions (Claude Code, Codex, Gemini CLI and more) in Codeman
-
Stride — AI software delivery platform
Your team's stories, acceptance criteria, designs and docs, for coding agents. Sign in with OAuth.
Référencé sur PyPI (MCP servers) (5)
-
Gives AI agents the function they asked for, not the file. Commercial use needs a license.
-
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
-
repo-graph io.github.James-Chahwan/repo-graph
Structural graph map of any codebase so LLMs navigate by structure, not guesswork.
-
A code intelligence graph that gives AI coding agents deep, token-efficient understanding of your codebase.
-
MCP knowledge layer for MiniStack — plug into any IDE AI (Claude Desktop, Cursor, Continue, Devin, Cline).
Référencé sur npm registry (MCP servers) (5)
-
PAPI: Persistent Adaptive Project Intelligence
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
-
AI-powered virtual IT department via MCP — codebase intelligence, 9-agent scrum team, sprint management, and React dashboard in one npm package
-
Automatic development memory for AI coding agents: turns your Claude Code, Codex, Gemini, Cursor, Copilot, Cline, Devin, OpenCode, Antigravity and Kimi Code sessions into…
-
designer-skill-mcp io.github.PyModel/designer-skill-mcp
UI design MCP: design references, intent routing, anti-slop static detector and gate. No API key.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
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.