openlogos
OpenLogos methodology plugin with 13 AI skills (including code-implementor), slash commands, hooks, and a change-reviewer agent for structured Why → What → How development
Lot de plugins · par MiniIdeaLab
Aperçu
openlogos est un lot de plugins pour les outils de code IA publié par MiniIdeaLab. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Nous l'avons vu pour la première fois le 2026-10-28 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-10-29.
Ce qu'il demande
- S'installe comme lot de plugins
- Hooks : 1
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 miniidealab/openlogos
/plugin install openlogos@miniidealab-openlogos
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire miniidealab/openlogos (Ouvrir la source sur GitHub) | Référencé | 0.16.7 | Forks (GitHub): 8 Étoiles (GitHub): 449 |
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) |
|---|---|---|
| miniidealab-openlogos | miniidealab/openlogos | 449 |
Quelles places de marché nous lisons et comment nous les vérifions
Ce que contient le lot
Tel que publié sur Community GitHub marketplaces.
Skills: 16
api-designerarchitecture-designerchange-writercode-implementorcode-reviewerdb-designerdeployment-designerdeployment-executormerge-executorprd-writerproduct-designerproject-init
Afficher les autres : 4
scenario-architecttest-orchestratortest-writerui-ux-pro-max
Commandes: 10
archivechangeindexinitlaunchmergenextstatussyncverify
Agents: 1
change-reviewer
Hooks: 1
SessionStart
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.
-
Agentic Engineering toolkit with 12 structured workflow skills, 5 specialist agent personas, and 7 slash commands. Covers the full development lifecycle from idea to production…
-
AI-assisted development methodology — scaffolding skills, talk pipeline (6 stages), landing page generator, context engineering, and design templates
-
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…
-
anthropic-architect
Determine the best Anthropic architecture for your project by analyzing requirements and recommending the optimal combination of Skills, Agents, Prompts, and SDK primitives.
-
Complete AI development toolkit with 105 skills covering AI/LLM, backend, frontend, security, and testing patterns. Includes 36 specialized agents, 35 commands, and 218 lifecycle…
-
The PIV loop (plan, implement, validate, review, commit, PR) plus priming, planning, worktrees, and the meta-skills for building your own AI Layer.
-
Structured, standards-aware SDLC orchestration for Claude Code — 5 workflow types, 23 agents, 15+ skills, visual companion server for product design.
-
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…
-
Architecture, engineering delivery, development discipline, debugging, review, and AI and automation systems.
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)
-
Agentic Engineering toolkit with 12 structured workflow skills, 5 specialist agent personas, and 7 slash commands. Covers the full development lifecycle from idea to production…
-
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…
-
Structured, standards-aware SDLC orchestration for Claude Code — 5 workflow types, 23 agents, 15+ skills, visual companion server for product design.
-
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…
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
-
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…
-
Superpowers teaches Claude brainstorming, subagent driven development with built in code review, systematic debugging, and red/green TDD. Additionally, it teaches Claude how to…
Référencé sur 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.
-
Accelerate design workflows — critique, design system management, UX writing, accessibility audits, research synthesis, and dev handoff. From exploration to pixel-perfect specs.
-
Official Buildkite skills for Claude Code, Cursor, and other AI coding agents — pipelines, migration, preflight, agent runtime, CLI, and API
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.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Figma workflows for design implementation, Code Connect templates, and design system rule generation.
-
Qodo setup, code intelligence, and review workflows.
Référencé sur Community GitHub marketplaces (5)
-
AI-assisted development methodology — scaffolding skills, talk pipeline (6 stages), landing page generator, context engineering, and design templates
-
anthropic-architect
Determine the best Anthropic architecture for your project by analyzing requirements and recommending the optimal combination of Skills, Agents, Prompts, and SDK primitives.
-
Complete AI development toolkit with 105 skills covering AI/LLM, backend, frontend, security, and testing patterns. Includes 36 specialized agents, 35 commands, and 218 lifecycle…
-
The PIV loop (plan, implement, validate, review, commit, PR) plus priming, planning, worktrees, and the meta-skills for building your own AI Layer.
-
Architecture, engineering delivery, development discipline, debugging, review, and AI and automation systems.
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…
-
7 specialized agents covering the full software development lifecycle from UX design and architecture to security and DevOps.
-
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…
-
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.
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Advanced Security plugin for 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…
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…
-
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.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Render PR diffs as review canvases grouped by importance.
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.
-
Tools and resources for writing Effect code in Typescript.
-
Generate images, video, and audio with Glif's media-generation agent
Référencé sur Official MCP Registry (5)
-
PAPI: Persistent Adaptive Project Intelligence
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
-
Stride — AI software delivery platform
Your team's stories, acceptance criteria, designs and docs, for coding agents. Sign in with OAuth.
-
Grow your skills with AI: per-skill coaching inside Claude, ChatGPT, Cursor and Codex
-
Turns a product idea into a structured story map coding agents can build.
-
Autonomous factory that finds real developer pain points and builds small paid AI tools to fix them.
Référencé sur PyPI (MCP servers) (5)
-
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.
-
Zero-config MCP server for searchable documentation. SQLite or PostgreSQL.
-
lineai-mcp-server io.github.lineai-intelligence/lineai-mcp-server
An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant.
-
shortcut com.mcparmory/shortcut
Track stories, organize sprints, and manage project workflows across your team
Référencé sur npm registry (MCP servers) (5)
-
PAPI: Persistent Adaptive Project Intelligence
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
-
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.
-
Contextual prompts and agent skills for 140+ AI platforms.
-
speclock io.github.sgroy10/speclock
AI Constraint Engine — enforces CLAUDE.md and .cursorrules as laws. 51 MCP tools.
-
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.