prompt-architect
Analyzes and improves prompts using 31 frameworks. Intent-based selection routes to the right framework — from ultra-minimal (APE) to agentic (ReAct).
Plugin bundle · by Charles Kelsoe
About
prompt-architect is a plugin bundle for AI coding tools published by Charles Kelsoe. Marketplaces we read that list it: 1 (Community GitHub marketplaces). The last change we recorded was on 2026-10-21. 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 ckelsoe/prompt-architect
/plugin install prompt-architect@prompt-architect-marketplaceWhere it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace ckelsoe/prompt-architect (Open the source on GitHub) | Listed | 3.5.1 | Forks (GitHub): 35 Stars (GitHub): 321 |
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) |
|---|---|---|
| prompt-architect-marketplace | ckelsoe/prompt-architect | 321 |
How its figures have moved
- 2026-10-17321
- 2026-10-20320
- 2026-10-21321
Each dot is a day we read a different number; flat stretches are days the number did not move. Figures of different marketplaces are never added up.
What the bundle contains
As published on Community GitHub marketplaces.
Skills: 1
prompt-architect
What 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.
-
Automatically improves your prompts — better language, clearer instructions, smarter structure
-
prompt-optimizer
Optimize and refine prompts for AI models using comprehensive prompt engineering best practices
-
Interactive prompt-engineering coach that elevates vague prompts through Socratic dialogue, multiple transformation styles, and guided learning.
-
Optimize your prompts with one command - analyzes weaknesses, applies best practices, and reconstructs with a changelog.
-
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…
-
prompt-engineering-skills
Collection of prompt engineering tools featuring 57 proven frameworks for crafting optimized AI prompts across various domains including marketing, decision analysis, education…
-
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…
-
DevsForge Enterprise Prompt Optimization Architect delivering strategic prompt engineering methodologies, AI interaction optimization, and communication excellence frameworks
-
Interactive prompt refinement with best practices and clipboard copy
-
Prompting guidance and per-model deltas for Claude, Gemini, and Grok.
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.
-
Auto-enhances vague prompts into well-structured, context-aware prompts before Claude responds. Includes four skills: /enhance (general), /enhance-code (detects your tech stack…
-
Intelligent prompt optimization using skill-based architecture. Enriches vague prompts with research-based clarifying questions before Claude Code executes them
-
After each turn, suggests up to three next prompts above the input. Press 1, 2 or 3 to put one in the prompt box as a draft you can edit, 0 to dismiss.
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…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
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…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
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
-
Accelerate design workflows — critique, design system management, UX writing, accessibility audits, research synthesis, and dev handoff. From exploration to pixel-perfect specs.
-
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
-
Discover your brand voice from existing documents and conversations, generate enforceable guidelines, and validate AI-generated content against your established tone and…
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
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…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
Explore campaign ideas, concept images, mood boards, product placements, ad directions, listing images, social posts, and launch assets.
Has a listing on Community GitHub marketplaces (5)
-
prompt-optimizer
Optimize and refine prompts for AI models using comprehensive prompt engineering best practices
-
Interactive prompt-engineering coach that elevates vague prompts through Socratic dialogue, multiple transformation styles, and guided learning.
-
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…
-
prompt-engineering-skills
Collection of prompt engineering tools featuring 57 proven frameworks for crafting optimized AI prompts across various domains including marketing, decision analysis, education…
-
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…
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
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…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
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…
-
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-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
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)
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
A Model Context Protocol (MCP) server that empowers LLMs to use some of Open Srategy Partners' core writing and product marketing techniques.
-
Provides tools to search and retrieve Google Gemini API documentation.
-
Generate images, video, and audio with Glif's media-generation agent
-
Real-time web search, reasoning, and research through Perplexity's API
Has a listing on Official MCP Registry (5)
-
Score and improve AI prompts with Cue Free and Pro account access.
-
Static linter for AI prompts: contradictions, redundancy, ambiguity, and fluff.
-
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.
-
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)
-
AI marketing agent and AI ad generator: 922 tools, usable alone. No markup on models.
-
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
-
Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.
-
google-surf-mcp io.github.HarimxChoi/google-surf-mcp
Web, academic and code search with graph RAG, data lineage, ontology and cross-project schema links.
-
gitmem io.github.gitmem-dev/gitmem
Persistent institutional memory for AI coding agents. Memory that compounds.
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.