Agent plugin for major harnesses — DeepSeek Harness (DSH), OpenCode, Pi and Codex: define custom AI agent roles with per-role prompts, models, skills, permissions, memory and multi-agent orchestration.

AI design system scanner + mcp server. Scores repos 0-100, writes fix prompts. 30K+ npm downloads.

Discover Kavel's AI photo/video generators, get tuned prompts, and open the right tool on kavel.ai.

Plan AI video shots: model picks, sourced prompts, prompting guides and real $/s costs.

Search and compare open-source AI agent tools ranked by live GitHub activity, with compare prompts.

Customize DeepSeek Harness assistants: edit system prompts, base modes, and plugin switches.

DSH Web 输入体验增强插件：可配置发送/换行键位 + 自定义输入框右键菜单 + 面板尺寸记忆 + 快捷指令（分类 / 跨分类移动 / 关·每次·仅首次三种插入模式 / 存 ~/.dsh/quick-prompts.json）+ 提示词优化（0.11.1 起工具行有独立「优化」按钮、带秒表与斜杠命令保护、写回前比对草稿） + OpenCode 会话请求头 + Windows 默认终端切换（把模型的 PowerShell 工具换成 Git Bash）+ 官方持久终端六件套（terminal_open/r

A rail of your Claude Code session's prompts: hover to read, click to jump (function hooks / Mods)

Phone control panel for local Conductor agents. Reads ride SQLite + git; prompts ride Conductor's own dispatch path.

Codex coding preset with customizable prompts and tools for DSH.

The world's first open-source AI-native vector design tool and the first to feature concurrent Agent Teams. Design-as-Code. Turn prompts into UI directly on the live canvas. A modern alternative to Pencil.

Search and fetch vibe-coding Agent Skills (SKILL.md files) and prompts from TheSkillVault library.

Guides creation, revision, and review of Warp- or Oz-branded assets. Use when working on launch pages, docs, HTML/CSS components, UI mockups, prompts, social assets, copy, presentations, or any other branded deliverable that should look and sound unmistakably Warp or Oz.

Enables agents to generate, refine, save, validate, and read sanitized SVG assets from text prompts through a local OpenAI-compatible model, with tools for listing and managing SVG files.

Enables MCP hosts to spawn, supervise, and collect results from parallel panels of pinned-model OpenCode v2 agents for delegated tasks, reviews, and cross-model comparisons. Supports per-member roles, models, permissions, follow-up prompts, cancellation, and persisted result retrieval.

Exposes a single ask_warriorgpt tool that lets Claude Code delegate self-contained code generation prompts to Wayne State's hosted model API, passing files to and from disk so the content never counts against the Claude plan. It validates multi-file edits before writing and logs per-session token usage, keeping design and debugging work with Claude.

Enables AI clients to drive local video editing projects through a CEP bridge, covering media ingest, sequence and timeline editing, effects, keyframes, captions, markers, audio, color, and exports across hundreds of discoverable tools. Ships context resources, guided prompts, and higher-level assembly workflows for agent-driven editing.

Enables Claude or any MCP client to use the Google Gemini web app through a real Chrome browser with a normal Google account and no API key, including sending prompts, managing chats, uploading files, downloading results, and inspecting or interacting with pages via accessibility roles.

This MCP server enables AI agents and teams to coordinate through shared inboxes, threaded conversations, attachments, expiring file reservations, prompts, and live notifications, while replaying missed events after restarts.

The fastest developer workflow for every AI coding agent. Live status, quick prompts, worktrees, and diff review from one tmux TUI. Discord: discord.gg/ecS88An7pF

Automated harness evolution for AI agents. A Claude Code plugin that iteratively optimizes system prompts, routing, retrieval, and orchestration code using full-trace counterfactual diagnosis. Based on Meta-Harness (Lee et al., 2026).

ChatGPT & Gemini：Add Folders, Timeline & Prompts. - 为 ChatGPT & Gemini 添加文件夹、提示词库和时间轴。

Enables AI agents and LLMs to persist facts, preferences, and observations in a local SQLite store and to build and traverse subject-predicate-object knowledge graphs across sessions. It provides fuzzy keyword search and graph queries so assistants retain context and recall prior project history without repeating prompts.

Enables AI chat backends to fetch public webpages and obtain cleaned readable text, Markdown, article content, metadata, and summary-ready prompts through MCP tools.