2,080 mods in this category, of every kind an agent can take. Each one carries what it costs per session, what the scan found, and whether it is the original.
Plugin Claude Code
Bundles 1 skill · 134 tokens together
Turn any raw prompt into an optimized prompt with the right agent loop, skills, and model. Advisory only - never executes the task itself.
Skill Claude CodeCodex
A prompt-writing guide that turns a vague request into a clear goal, its fixed limits, and the main obstacle. It then produces a structured prompt that an AI can act on.
Skill Claude CodeCodex
Use when adding an AI/LLM feature to a product - chat, generation, summarization, extraction, semantic search - or when the user says add AI, use Claude, chatbot, embeddings.
JesseRaber/manus-prompt-engineering-skill
Skill Claude CodeCodex
Design and audit Manus prompts for engineering, release, production, and security work. Use when writing a Manus prompt or reviewing a Manus execution or recording against authorization and evidence.
Skill Claude CodeCodex
Set up LLM workflow discipline for projects that use AI / LLM calls in production or eval suites. Authors an eval-cost-watcher agent that projects token cost BEFORE regression evals run, plus an AI-workflow-discipline rule covering mock-mode placement, fixture freshness, and multi-stage cost accumulation. Optionally a…
rayapatiranjithai/prompt-analyzer
Plugin Claude Code
Prompt-engineering tools for Claude Code — live prompt-quality coaching scored against documented standards.
savasturkoglu1/promptpilot-plugin
Skill Claude CodeCodex
Rewrite a rough, vague prompt into a precise, context-enriched prompt. Explores the codebase read-only and weaves real file paths and symbols into the rewritten prompt — never implements the task itself. Use when the user asks to optimize, enrich, or improve a prompt before running it.
Plugin Claude Code
Bundles 1 command · 16 tokens together
Converts vague, messy, or under-specified requests into clearer, efficient AI-ready instructions while preserving user intent. Use before solving complex, ambiguous, or high-risk tasks.
MCP server Claude CodeCodexCursor +2
MCP Server for prompt engineering suggestions. Runs locally from the rt-prompt-mcp npm package.
MCP server Claude CodeCodexCursor +2
A Model Context Protocol (MCP) server for saving and managing prompts. Runs locally from the prompt-new-mcp npm package.
MCP server Claude CodeCodexCursor +2
MCP DevPrompts - Curated prompts for AI-powered development workflows. Runs locally from the mcpdevprompts npm package.
MCP server Claude CodeCodexCursor +2
MCP server "prompt-cleaner" as configured in dacebt/prompt-cleaner-mcp. Runs locally from the prompt-cleaner npm package.
mhabedini/json-to-toon-mcp-server
MCP server Claude CodeCodexCursor +2
MCP server for converting JSON to TOON (Token-Oriented Object Notation) format - saves 30-60% on AI tokens. Runs locally from the json-to-toon-mcp-server npm package.
MCP server Claude CodeCodexCursor +2
An MCP server for the codetoprompt library, enabling integration with LLM agents. Runs locally from the codetoprompt-mcp Python package.
MCP server Claude CodeCodexCursor +2
Model Context Protocol server for Prompteka - enables AI assistants to read and write prompts. Runs locally from the prompteka-mcp npm package.
MCP server Claude CodeCodexCursor +2
Local MCP server for managing AI prompts with SQLite storage. Runs locally from the @mhoshdev/prompt-store-mcp npm package.
MCP server Claude CodeCodexCursor +2
MCP server "promptthrift-mcp" as configured in woling-dev/promptthrift-mcp. Runs locally from the promptthrift-mcp Python package.
cardinalblue/prompt-book-mcp-server
MCP server Claude CodeCodexCursor +2
MCP server for Notion prompts database. Runs locally from the @piccollage/prompt-book-mcp-server npm package.
MCP server Claude CodeCodexCursor +2
A local service for managing prompts, built as a Python package that works with MCP, a standard way for AI agents to use external tools and data.
MCP server Claude CodeCodexCursor +2
MCP server "mcp-prompt-server" as configured in marcmodin/mcp-prompt-server. Runs locally from the mcp-prompt-server Python package.
MCP server Claude CodeCodexCursor +2
Open-source prompt optimizer plugin for terminal AI agents: cuts token waste via a behavior protocol, local prompt compression, ask-or-assume clarifying questions, and cheapest-capable model routing. Runs locally from the promptopt npm package.
Skill Claude CodeCodex
Skill "zipai-optimizer" from nickdesi/ZipAI, covering zipai: ultra-dense token optimizer, rules, 1. zero filler, 2. ambiguity and 3. prompt caching.
Skill Claude CodeCodex
Pre-inference prompt compression middleware that reduces document and prompt token payloads by 74% prior to calling LLMs. Use this tool when prompt context exceeds 10,000 tokens to cut LLM input token costs on Base Mainnet.
Skill Claude CodeCodex
Search, retrieve, version, and persist prompts, documents, and collections through the hosted Context Repo MCP. Use this skill whenever the user mentions Context Repo, saved prompts, prompt templates, stored documents, collections, semantic search, or hierarchical document navigation.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: