prompt-engineering
Prompting guidance and per-model deltas for Claude, Gemini, and Grok.
Plugin bundle · by duyet
About
prompt-engineering is a plugin bundle for AI coding tools published by duyet. Marketplaces we read that list it: 1 (Community GitHub marketplaces). The last change we recorded was on 2026-10-19. As of our marketplace pass on 2026-10-21.
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 duyet/codex-claude-plugins
/plugin install prompt-engineering@duyet-claude-plugins
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace duyet/codex-claude-plugins (Open the source on GitHub) | Listed | 1.2.0 | Forks (GitHub): 1 Stars (GitHub): 15 |
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) |
|---|---|---|
| duyet-claude-plugins | duyet/codex-claude-plugins | 15 |
What the bundle contains
As published on Community GitHub marketplaces.
Skills: 1
prompt-engineering
What changed
- Community GitHub marketplaces: category changed
- Community GitHub marketplaces: license stated: MIT
- Community GitHub marketplaces: publisher changed
- Community GitHub marketplaces: released version 1.2.0 (was 1.1.1)
- Community GitHub marketplaces: description 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.
-
Expert prompt optimization for LLMs and AI systems. Use PROACTIVELY when building AI features, improving agent performance, or crafting system prompts. Masters prompt patterns and…
-
prompt-optimizer
Optimize and refine prompts for AI models using comprehensive prompt engineering best practices
-
Expert Prompt Engineer with Context Engineering, Meta-Prompting, Chain-of-Thought, Few-Shot, Agent Design, 50+ Template Library, and A/B Testing for creating optimal prompts and…
-
Automatically improves your prompts — better language, clearer instructions, smarter structure
-
Analyzes and improves prompts using 31 frameworks. Intent-based selection routes to the right framework — from ultra-minimal (APE) to agentic (ReAct).
-
Interactive prompt-engineering coach that elevates vague prompts through Socratic dialogue, multiple transformation styles, and guided learning.
-
DevsForge Enterprise Prompt Optimization Architect delivering strategic prompt engineering methodologies, AI interaction optimization, and communication excellence frameworks
-
claude-prompt-optimizer io.github.rishiatlan/claude-prompt-optimizer
Scores, compiles & optimizes prompts for any LLM. Zero AI calls inside. Freemium.
-
Optimize your prompts with one command - analyzes weaknesses, applies best practices, and reconstructs with a changelog.
-
Local-first MCP server for versioning, searching, evaluating, and improving AI prompts.
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)
-
Automatically improves your prompts — better language, clearer instructions, smarter structure
-
Optimize your prompts with one command - analyzes weaknesses, applies best practices, and reconstructs with a changelog.
-
Plan tasks with optimal model routing to minimize token usage. Breaks work into steps, assigns each the right model (Haiku/Sonnet/Opus), adds quality gates between stages…
-
Intelligent prompt optimization using skill-based architecture. Enriches vague prompts with research-based clarifying questions before Claude Code executes them
-
Auto-enhances vague prompts into well-structured, context-aware prompts before Claude responds. Includes four skills: /enhance (general), /enhance-code (detects your tech stack…
Has a listing on Claude Code: claude-plugins-official (5)
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
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…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
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
-
Connects Claude Code to the Synthflow AI voice-agent platform through its hosted MCP server, with skills for reviewing calls and auditing agent prompts, plus a docs-search…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
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.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
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.
Has a listing on Community GitHub marketplaces (5)
-
Expert prompt optimization for LLMs and AI systems. Use PROACTIVELY when building AI features, improving agent performance, or crafting system prompts. Masters prompt patterns and…
-
prompt-optimizer
Optimize and refine prompts for AI models using comprehensive prompt engineering best practices
-
Expert Prompt Engineer with Context Engineering, Meta-Prompting, Chain-of-Thought, Few-Shot, Agent Design, 50+ Template Library, and A/B Testing for creating optimal prompts and…
-
Analyzes and improves prompts using 31 frameworks. Intent-based selection routes to the right framework — from ultra-minimal (APE) to agentic (ReAct).
-
Interactive prompt-engineering coach that elevates vague prompts through Socratic dialogue, multiple transformation styles, and guided learning.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with…
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.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
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…
Has a listing on Cursor: cursor/plugins (5)
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Generate presentations, documents, and webpages.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Search company knowledge and draft verified answers.
Has a listing on Docker MCP Catalog (5)
-
Provides tools to search and retrieve Google Gemini API documentation.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Real-time web search, reasoning, and research through Perplexity's API
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
Has a listing on Official MCP Registry (5)
-
claude-prompt-optimizer io.github.rishiatlan/claude-prompt-optimizer
Scores, compiles & optimizes prompts for any LLM. Zero AI calls inside. Freemium.
-
Local-first MCP server for versioning, searching, evaluating, and improving AI prompts.
-
AI-powered prompt refinement with adaptive questioning and multi-provider support (6+ LLM backends)
-
Score and improve AI prompts with feedback, intent-preserving rewrites and Cue account access.
-
mcp org.wikiprompt/mcp
The Wikipedia of AI prompts: search 900+ curated prompts by model, style and type, in 7 languages
Has a listing on npm registry (MCP servers) (5)
-
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
-
depwire io.github.atef-ataya/depwire
Dependency graph + 24 MCP tools. Impact analysis, simulation, security, agent coordination
-
dav-mcp io.github.PhilflowIO/dav-mcp
AI-orchestrated calendars, contacts & tasks across any DAV platform. 27 tools, field-agnostic.
-
mcp com.dechonet/mcp
30 security tools for AI agents: phishing links, exposure maps, DNS, SSL, PQC, history, pivots.
-
dealflowpro io.github.jbechtel-97/dealflowpro
Multifamily real estate deal analysis — cap rate, DSCR, IRR, DFP Score, max offer price
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.