problem-based-srs
Problem-Based Software Requirements Specification methodology for AI-assisted requirements engineering. Provides structured approach to capture Customer Problems (WHY), Customer…
Pacote de plugins · de Rafael Gorski
Resumo
problem-based-srs é um pacote de plugins para ferramentas de programação com IA publicado por Rafael Gorski. Marketplaces que lemos e que o listam: 1 (Community GitHub marketplaces). Vimos pela primeira vez em 2026-11-02 e não registramos mudanças desde então. Conforme nossa passagem pelos marketplaces em 2026-11-05.
Problem-Based Software Requirements Specification methodology for AI-assisted requirements engineering. Provides structured approach to capture Customer Problems (WHY), Customer Needs (WHAT), and Functional Requirements (HOW) with full traceability.
O que pede
- Instala-se como pacote de plugins
Nenhum dos marketplaces que lemos publica as ferramentas ou as configurações que ele pede.
O que declara, pede e executa, por completo
Instale apenas plugins de desenvolvedores em quem você confia. Mostramos o que os marketplaces publicam e não testamos plugins.
Funciona com
- Claude Code
Pelos marketplaces que o listam e pelo transporte MCP que declara, conforme cada cliente documenta. Não testamos plugins.
Conectar
Comandos e configurações gerados apenas a partir do que os marketplaces declaram. Não os executamos por você e não testamos plugins.
Como plugin do Claude Code
Gerado a partir do que Community GitHub marketplaces declara.
/plugin marketplace add rafaelgorski/problem-based-srs
/plugin install problem-based-srs@problem-based-srs
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Marketplace da comunidade rafaelgorski/problem-based-srs (Abrir o código no GitHub) | Listado | 2.7.0 | Forks (GitHub): 3 Estrelas (GitHub): 36 |
Sem marcação |
Cada número é do próprio marketplace e nunca é somado entre marketplaces. Um marketplace que não publica números não mostra nenhum: sem número não é zero.
Listado em um marketplace da comunidade
| Marketplace | Repositório | Estrelas (GitHub) |
|---|---|---|
| problem-based-srs | rafaelgorski/problem-based-srs | 36 |
O que o pacote contém
Conforme publicado em Community GitHub marketplaces.
Skills: 1
problem-based-srs
O que mudou
- Passou a ser um produto que acompanhamos
- Community GitHub marketplaces: apareceu
Plugins semelhantes
Produtos cujos próprios nomes, descrições, ferramentas e skills são os mais próximos deste pelo significado, em todos os marketplaces que lemos. A proximidade é ordenada apenas dentro desta lista.
-
Spec-driven development methodology with skills for requirements, design, tasks, AI prompting, QA, and troubleshooting
-
A specification discovery plugin for Cowork and Claude Code. Helps product managers, founders, and tech leads figure out what to build before writing a single line of code. Unlike…
-
Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. Use when users provide loose requirements…
-
Spec-Driven Development pipeline: 23 atomic Socratic skills (survey/scaffold → spec → ux-flows → design → data-model → api → screens → tasks → tests → implement → review → ship) +…
-
36 skills for deciding if AI fits, testing it before launch and keeping it honest after: deciding if AI fits, speccing it as tests, briefing the model and the agent, building the…
-
Iteratively refine product specs through multi-model debate until consensus. Claude actively participates alongside GPT, Gemini, Grok, and other models. Includes interview mode…
-
Split vague project requirements into well-scoped units for /deep-plan
-
Specification-driven development workflow: setup → specify → plan → tasks → implement
-
Spec-driven development workflow system with structured phases: Requirements → Design → Tasks → Implementation
-
Lean, AI-native product management skills for Claude Code — compress the mechanical PM work into hours and days so you focus on decisions, relationships, and problems worth…
Plugins semelhantes por marketplace
A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
Listado em Claude Code: claude-plugins-community (5)
-
A specification discovery plugin for Cowork and Claude Code. Helps product managers, founders, and tech leads figure out what to build before writing a single line of code. Unlike…
-
Iteratively refine product specs through multi-model debate until consensus. Claude actively participates alongside GPT, Gemini, Grok, and other models. Includes interview mode…
-
Lean, AI-native product management skills for Claude Code — compress the mechanical PM work into hours and days so you focus on decisions, relationships, and problems worth…
-
Spec-driven workflow for AI coding agents: PRD, plan, check, and archive features using tracer-bullet vertical slices.
-
Gambit brings structured PM workflows into Claude Code. Skills cover every phase of the product lifecycle: synthesizing user research, writing feature requests with auto-generated…
Listado em Claude Code: claude-plugins-official (5)
-
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
-
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.
-
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…
-
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…
Listado em Claude: knowledge-work-plugins (5)
-
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
-
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.
-
Accelerate design workflows — critique, design system management, UX writing, accessibility audits, research synthesis, and dev handoff. From exploration to pixel-perfect specs.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Listado em Codex: openai-curated (openai/plugins) (5)
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Search, create and update Linear issues, projects, and initiatives. Draft PRDs, write updates, analyze customer requests, and keep plans up to date — all from within ChatGPT
-
The Product Design plugin is built for turning early ideas into prototypes teams can review. It starts design and build work by confirming the brief, then helps teams explore…
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
Listado em Community GitHub marketplaces (5)
-
Spec-driven development methodology with skills for requirements, design, tasks, AI prompting, QA, and troubleshooting
-
Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. Use when users provide loose requirements…
-
Spec-Driven Development pipeline: 23 atomic Socratic skills (survey/scaffold → spec → ux-flows → design → data-model → api → screens → tasks → tests → implement → review → ship) +…
-
36 skills for deciding if AI fits, testing it before launch and keeping it honest after: deciding if AI fits, speccing it as tests, briefing the model and the agent, building the…
-
Iteratively refine product specs through multi-model debate until consensus. Claude actively participates alongside GPT, Gemini, Grok, and other models. Includes interview mode…
Listado em Copilot CLI: github/awesome-copilot (5)
-
MCP server and 12 skills for product analysis, specification writing, strategy, narrative, and stakeholder alignment. Run competitive analyses, write zero-question specs, design…
-
Tools and guidance for software project planning, feature breakdown, epic management, implementation planning, and task organization for development teams.
-
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…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
Listado em 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.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
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…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Listado em Cursor: cursor/plugins (5)
-
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.
-
Skill mapping, practice plans, and learning retrospectives.
-
Render PR diffs as review canvases grouped by importance.
Listado em Docker MCP Catalog (5)
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
Dart AI Model Context Protocol (MCP) server.
-
MCP server for AI access to SmartBear tools, including BugSnag, Reflect, Swagger, PactFlow, QTM4J.
Listado em Official MCP Registry (5)
-
Turns a product idea into a structured story map coding agents can build.
-
StoriesOnBoard - structured specifications for AI Agents
Turn PRDs and product ideas into structured specs so coding agents build your intent, not theirs.
-
ainative-prd-mcp io.github.AINative-Studio/ainative-prd-mcp
PRD Generator MCP — generate, validate, and manage Product Requirement Documents.
-
specky io.github.fathyshalaby/specky
Turn raw customer feedback into evidence-cited specs (free, no key) plus 16 PM tools.
-
Commission a multi-model AI spec committee from your agent; get rubric-scored, build-ready specs.
Listado em PyPI (MCP servers) (5)
-
shortcut com.mcparmory/shortcut
Track stories, organize sprints, and manage project workflows across your team
-
Gives AI agents the function they asked for, not the file. Commercial use needs a license.
-
MCP server for TireTrack project management — manage projects, issues, sprints, and teams via AI
-
hypermnesia-mcp io.github.cdeust/hypermnesia-mcp
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
-
redmine-mcp-server io.github.jztan/redmine-mcp-server
MCP server that lets AI assistants manage Redmine issues, projects, wikis, and time tracking
Listado em npm registry (MCP servers) (5)
-
Product design skills MCP server - structured design workflow tools for AI agents
-
Contextual prompts and agent skills for 140+ AI platforms.
-
PAPI: Persistent Adaptive Project Intelligence
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
-
mason com.adrianczuczka/mason
Engineering decisions, change impact, documentation audits, and CI evidence for coding assistants.
Encontrados pelo significado, não por código ou repositório em comum: plugins semelhantes continuam sendo produtos distintos, e isto não é uma avaliação nem uma recomendação.
Quer esta marca no seu plugin em nosso catálogo?
Prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS, e você poderá mostrar esta marca na ficha, com banners ao vivo para o seu site e o README. Como funciona a verificação
Você também recebe alertas quando um marketplace o publica, o remove, muda a marca de verificado ou o que ele pede, e o endpoint remoto passa a ser monitorado como um serviço web.
Dados de Community GitHub marketplaces. Os números vêm das nossas próprias passagens regulares pelos marketplaces, última leitura em . Não publicamos dados de contato dos editores de plugins.