prompt-brain
Optimize your prompts with one command - analyzes weaknesses, applies best practices, and reconstructs with a changelog.
Plugin bundle · by tarekst
About
prompt-brain is a plugin bundle for AI coding tools published by tarekst. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-12.
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.
Connect
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Claude Code: claude-plugins-community (Open the source on GitHub) | Listed | 0.4.0 | Forks (GitHub): 0 Stars (GitHub): 0 |
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.
What the bundle contains
As published on Claude Code: claude-plugins-community.
Skills: 1
optimize-prompt
What changed
Nothing has moved on this plugin since we started watching it.
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
-
Auto-enhances vague prompts into well-structured, context-aware prompts before Claude responds. Includes four skills: /enhance (general), /enhance-code (detects your tech stack…
-
Static linter for AI prompts: contradictions, redundancy, ambiguity, and fluff.
-
Intelligent prompt optimization using skill-based architecture. Enriches vague prompts with research-based clarifying questions before Claude Code executes them
-
claude-prompt-optimizer io.github.rishiatlan/claude-prompt-optimizer
Scores, compiles & optimizes prompts for any LLM. Zero AI calls inside. Freemium.
-
Prompt Smith adds the /prompt slash command to Claude Code. It takes a rough prompt and rewrites it for clarity, structure, and precision — then shows a side-by-side preview…
-
Master enhancement orchestrator: 7 specialized analyzers run in parallel and produce a unified report with certainty-graded findings. `/enhance:agent` analyzes agent frontmatter…
-
Local-first MCP server for versioning, searching, evaluating, and improving AI prompts.
-
Claude Perfectionist audits your Claude Code instruction harness — CLAUDE.md, rules, hooks, settings, MCP config — and finds contradictions, missing verification, stale commands…
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
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
-
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
-
Prompt Smith adds the /prompt slash command to Claude Code. It takes a rough prompt and rewrites it for clarity, structure, and precision — then shows a side-by-side preview…
-
Master enhancement orchestrator: 7 specialized analyzers run in parallel and produce a unified report with certainty-graded findings. `/enhance:agent` analyzes agent frontmatter…
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…
-
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
-
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
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
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.
-
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.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
AI-powered code review in Codex, powered by CodeRabbit.
-
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…
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
Has a listing on Community GitHub marketplaces (5)
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Endor Labs workflow agents and setup for Claude Code.
-
Shared session bus so Cursor can hand off with Claude, Codex, Grok, and friends.
-
Local graph memory that lets Codex recall project context across sessions.
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.
-
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…
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
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.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Advanced Security plugin for 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.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
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.
-
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.
Has a listing on Docker MCP Catalog (5)
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
A Model Context Protocol (MCP) server that empowers LLMs to use some of Open Srategy Partners' core writing and product marketing techniques.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Provides tools to search and retrieve Google Gemini API documentation.
Has a listing on Official MCP Registry (5)
-
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.
-
ai-prompt-optimizer io.github.lazymac2x/ai-prompt-optimizer
Cloudflare Workers MCP server: ai-prompt-optimizer
-
prompyai io.github.samouh-waleed/prompyai
Scores your prompts against your real codebase — context-aware prompt intelligence
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.
Is this your plugin?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and can put its remote endpoint on monitoring as a web service.
Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.