desktop-prompt-builder
Build a saved prompt from goal, constraints, and acceptance criteria.
Lot de plugins · par Yash Thakker
Aperçu
desktop-prompt-builder est un lot de plugins pour les outils de code IA publié par Yash Thakker. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Nous l'avons vu pour la première fois le 2026-11-11 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-11-12.
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 Community GitHub marketplaces.
/plugin marketplace add whyashthakker/awesome-claude-code-mods
/plugin install desktop-prompt-builder@awesome-claude-code-modsOù il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire whyashthakker/awesome-claude-code-mods (Ouvrir la source sur GitHub) | Référencé | 1.0.0 | Forks (GitHub): 31 Étoiles (GitHub): 118 |
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) |
|---|---|---|
| awesome-claude-code-mods | whyashthakker/awesome-claude-code-mods | 118 |
Quelles places de marché nous lisons et comment nous les vérifions
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.
-
Grill the user about a requirement, decision, or idea before implementation, then produce an actionable planning report without writing code
-
Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. Use when users provide loose requirements…
-
Structure prompts as design artefacts — system prompts, templates, chains, and reusable patterns.
-
Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session. Extracts…
-
AI Operations Team — Prompt: System prompt design, few-shot libraries, chain-of-thought patterns, and prompt versioning for production LLM applications.
-
StoriesOnBoard - structured specifications for AI Agents
Turn PRDs and product ideas into structured specs so coding agents build your intent, not theirs.
-
Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation…
-
Spec-driven development workflow system with structured phases: Requirements → Design → Tasks → Implementation
-
아이디어를 실행 가능한 프롬프트로 정리해주는 도구 — /prompt v3.5.1 + 모델별 최적화 전략 스킬
-
Rewrite prompts with explicit outcomes, observable feedback, evidence-based correction, and bounded stopping conditions without executing the underlying task.
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)
-
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…
-
MCP server for interactive ALPS (PRD) writing with AI. Guides you through 9 structured sections with templates, conversation guides, and document management.
-
Spec-driven workflow for AI coding agents: PRD, plan, check, and archive features using tracer-bullet vertical slices.
-
An AI-driven Product Manager for Claude Code that transforms news, feedback, and research into actionable PRDs and guidelines through multi-agent stakeholder debates.
-
Automatically improves your prompts — better language, clearer instructions, smarter structure
Référencé sur Claude Code: claude-plugins-official (5)
-
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…
-
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.
-
Create production-ready Pendo in-app guides (walkthroughs, announcements, alerts, polls, promotions) as HTML/CSS/JS from a short intake conversation, using Pendo's guide…
-
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Référencé sur 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.
-
Accelerate design workflows — critique, design system management, UX writing, accessibility audits, research synthesis, and dev handoff. From exploration to pixel-perfect specs.
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Create production-ready Pendo in-app guides (walkthroughs, announcements, alerts, polls, promotions) as HTML/CSS/JS from a short intake conversation, using Pendo's guide…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
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.
-
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
-
Turn Codex into your ClickUp command center.
-
Figma workflows for design implementation, Code Connect templates, and design system rule generation.
Référencé sur Community GitHub marketplaces (5)
-
Grill the user about a requirement, decision, or idea before implementation, then produce an actionable planning report without writing code
-
Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. Use when users provide loose requirements…
-
Structure prompts as design artefacts — system prompts, templates, chains, and reusable patterns.
-
Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session. Extracts…
-
AI Operations Team — Prompt: System prompt design, few-shot libraries, chain-of-thought patterns, and prompt versioning for production LLM applications.
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
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…
-
Give your AI agent 600,000+ real app screens, and the skills to use them. Includes the Mobbin MCP and a skill that redesigns your screen from patterns real apps ship, in your own…
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
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.
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
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)
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Generate presentations, documents, and webpages.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
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.
-
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…
Référencé sur Docker MCP Catalog (5)
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Generate images, video, and audio with Glif's media-generation agent
-
Workflow discipline for AI agents: work items, gates, role-scoped tool profiles and runs
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
MCP server for terminal commands, file operations, and process management
Référencé sur Official MCP Registry (5)
-
StoriesOnBoard - structured specifications for AI Agents
Turn PRDs and product ideas into structured specs so coding agents build your intent, not theirs.
-
Turns a product idea into a structured story map coding agents can build.
-
669 work prompts, prompt and answer checks, a job planner, a prompt linter and AI prices.
-
bstorms.ai — Free Execution Playbooks + Agent Brainstorming
Free execution-focused playbooks. Brainstorm with other agents. Tip if helpful.
-
Optimize prompts and generate agent SOPs and skill packages with the Prompt Optimizer cloud API.
Référencé sur PyPI (MCP servers) (5)
-
Connect AI assistants to Outline for document search, reading, and management
-
Gives AI agents the function they asked for, not the file. Commercial use needs a license.
-
FastMCP server exposing Joplin notes, notebooks, tags, and imports.
-
AI-powered PowerPoint (.pptx) generation, editing, and review via MCP — 43 tools, 53 slide types, 12 chart types, 8 diagrams, 12 branded presets, 34 archetypes, 8 variant groups…
-
hypermnesia-mcp io.github.cdeust/hypermnesia-mcp
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
Référencé sur npm registry (MCP servers) (5)
-
promptlike-mcp io.github.zeynepaslierhan/promptlike-mcp
Your PromptLikeEngineer prompt library as MCP tools, slash prompts and resources. No delete tool.
-
PAPI: Persistent Adaptive Project Intelligence
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
-
claude-prompts-mcp io.github.minipuft/claude-prompts-mcp
Reusable prompt templates, multi-step workflow chains, and quality gates for any MCP client.
-
Contextual prompts and agent skills for 140+ AI platforms.
-
Product design skills MCP server - structured design workflow tools for AI agents
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.