314 boosters for "prompt" — open source, verified from GitHub, ready to install
A system prompt that configures an AI agent to function as a non-conversational task executor within the Pepper scheduling system, handling delegated work through tool calls and structured results. Developers building agent-based automation systems will find this useful for establishing clear execution boundaries and behavioral constraints.
System prompt for the Simple Container API project that provides critical development workflows, resource safety guidelines, and documentation-first approach instructions for Go/Pulumi infrastructure-as-code development across multiple cloud platforms.
1. The daemon auto-starts. It starts on first command. Use to clean up. Use only if you need to pre-warm the browser before issuing commands. 2. Always re-snapshot after page changes. Refs are versioned (). After navigation, form submission, or dynamic content loading, old refs are stale. Run to
A meta-cognitive workflow architecture for Windsurf that implements persistent memory banking and structured initialization/documentation/implementation workflows to maintain context across AI sessions. Ideal for developers using Windsurf who need reliable state management and systematic task organization.
This Cursor rule enforces grammatically correct article usage (a, an, the) in code comments to improve readability and professionalism. It benefits developers and teams who prioritize code quality and documentation standards.
You are an expert in prompt engineering and systematic application of prompting frameworks. Help users transform vague or incomplete prompts into well-structured, effective prompts through analysis, dialogue, and framework application. When a user provides a prompt to improve, analyze across dimensi
Opik MCP Server enables developers to integrate automated prompt optimization directly into Claude through the Model Context Protocol. It's valuable for teams building AI applications who want to systematically improve and test their prompts.
This project is an MCP server that's built using Node.js and the TypeScript SDK for MCP. When working on this project, make sure to refer to the type definitions for the MCP TypeScript SDK: https://raw.githubusercontent.com/modelcontextprotocol/typescript-sdk/refs/heads/main/src/types.ts.
You play the role of a director's assistant fluent in the 5-stage AI shortfilm prompt structure (first proven by Mx-Shell in Zombie Scavenger). When the user invokes this skill they want a prompt they can paste
A Chinese-language system prompt that transforms simple descriptions into detailed video generation prompts for AI video models, designed for use in Claude, ChatGPT, Cursor, and Windsurf environments.
幫使用者把想法變成高品質的 AI 生成內容 (圖片、影片、音樂)，核心工作是 寫對每個平台的 prompt 以及 必要時自動操作網站。 1. Intent Parser — 一句話拆 9 slot (媒體/長度/畫面比/主題/風格/角色/場景/音訊/語言) 2. Fill Defaults — 沒講的用預設 (video 預設 10s 16:9；動漫預設 Shinkai+Ghibli；電影預設 Deakins DP…)
"name": "prompt-engineering-skills", "description": "아이디어를 실행 가능한 프롬프트로 정리해주는 도구 — /prompt v3.3.0 + 모델별 최적화 전략(Claude/GPT/Gemini/이미지) 스킬 + 공냥 프롬프트 킷 v4 동봉(이미지 정본)", "name": "tofukyung",
This is not report writing—it is persuasion. In every scenario you do the same thing: All briefing types share one backbone; section emphasis differs. Each type is an instance of the 5-part framework.
A MCP Server that integrates Langfuse prompt management capabilities into Claude Desktop and Claude Code, enabling developers to access and manage prompts directly within their AI workflows.
FACET is a markup language and authoring system for structured AI prompting that enables human-readable, machine-deterministic configuration across multiple AI platforms (Claude, ChatGPT, Cursor, Windsurf). It helps developers create reusable, validated prompts with strict syntax rules, type checking, and built-in transformations.
이 항목들은 Anthropic 내부 빌드에서 실행될 때만 포함됩니다. Carefully consider the reversibility and blast radius of actions. Generally you can freely take local, reversible actions like editing files or running tests. But for actions that are hard to reverse, affect shared systems beyond your local environment, or coul
"name": "claude-prompts", "description": "Hot-reloadable versioned prompts with easy tools for prompt engineering, chain workflows, quality gates. Symbolic syntax: >>prompt --> >>chain @framework :: 'gate'", "homepage": "https://github.com/minipuft/claude-prompts",
OK Computer is a self-hosted AI agent system prompt that configures Claude as a general-purpose agent with specialized rules for data analysis, slide creation, and web deployment. Developers building agent workflows on Claude-compatible platforms benefit from its structured tool integration and file management policies.
Sub-Agents enables parent agents to delegate specialized tasks to child agents with independent prompts, tools, and providers, allowing developers to build modular, hierarchical AI systems that solve complex multi-step problems.
You are "TunaCode", a Staff-level software developer agent inside the user's terminal. You are not a chatbot. You are an operational agent: you search, read, write, and execute code. Think step by step. Be direct, neutral, and concise.
This booster provides best practice guidelines for Docker, npx, uv, and package publishing workflows, intended to standardize development processes in Windsurf environments. It benefits developers seeking consistent build and deployment practices across multiple tool ecosystems.
专业的AI脚本和分镜生成系统，用于在Seedance 2.0平台上创建专业的AI视频系列。 以下是经过实测沉淀的通用规范，适用于所有 Seedance 2.0 / GPT-image-2 prompt 的生成。生成任何分镜 prompt 前必须逐条核对。 的视觉元素会被当作强锚点继续渲染——即便 prompt 里说"位置空了 / 东西没了"，模型也会脑补它继续存在，甚至换个品牌也要保留语义。要让某元素在续接段中真正消失，必须三重加固：
You act as a Design Systems Analyst: part visual detective, part systems designer, part frontend engineer. Your job is not to describe what you see — it's to diagnose the design: which decisions were deliberate, which patterns repeat, which tokens are operating under the
Use this skill when the user wants fully local image generation with a pipeline and does not want online image APIs. This skill is best for: This skill is not a photorealistic diffusion model. It is a local, rule-based composition engine that renders through SVG and exports PNG locally.
