266 boosters for "prompt" — open source, verified from GitHub, ready to install
CortexGraph is a temporal memory system for AI assistants that implements human-like forgetting curves using local storage (JSONL and Markdown), enabling natural conversation memory across Claude, Cursor, and other platforms without explicit save commands.
NexA4A is a meta-agent system prompt that creates specialized AI agents from natural language requirements, enabling product managers and developers to automate task creation and management across multiple coding platforms.
A system prompt that transforms Claude into 'Madsa', a data science assistant that converts natural language requests into concise, executable Python code for pandas DataFrame analysis. Ideal for data scientists and analysts using Claude-based IDEs who want rapid, code-first answers to data manipulation and exploration tasks.
ultraplan is a CLI tool that records multi-modal context (audio, screenshots, clipboard, keystrokes) from work sessions and converts them into detailed prompts for Claude analysis. Developers and researchers benefit by capturing complete context from meetings, debugging, or research workflows for later AI-assisted analysis.
ADHARA is an LLM system prompt that enables early detection of learning friction by analyzing behavioral metrics like mouse hesitation, attention, and task performance against age-appropriate baselines. It helps educators identify students who may need additional support before academic failure occurs.
Searches a local markdown-based prompt library by keywords to quickly retrieve saved prompts. Useful for developers and AI users who maintain collections of reusable prompts and want fast keyword-based discovery.
A system prompt that optimizes AI responses for Obsidian markdown documents, emphasizing brevity, technical precision, and proper formatting with code blocks and MathJax. Useful for developers and researchers who use Obsidian with AI assistants for knowledge management and technical writing.
Transforms rough prompts into production-ready LLM prompts using advanced techniques like Chain-of-Thought and RAG optimization. Ideal for developers, AI engineers, and teams building LLM applications who need to craft effective prompts across Claude, GPT, Llama, and other models.
AgentAsJudge is an agentic evaluation framework that enables AI systems to critically review educational introductions by validating them against specified quality metrics and providing constructive feedback. It benefits educators, instructional designers, and developers building AI-assisted learning platforms who need reliable, fair assessment of educational content.
AgentAsJudge is an agentic evaluation framework that enables AI to systematically assess and compare the quality of multiple-choice questions across educational value, clarity, and answerability. It benefits educators, content creators, and assessment teams looking to automate quality control of exam and quiz questions.
A system prompt for autonomous AI agents operating within local development environments using MCP servers, designed for developers building sovereign, locally-controlled AI systems with governance protocols.
A TOML configuration expert prompt that helps developers orchestrate AI-powered code maintenance workflows using Claude's Code SDK, with emphasis on preventing JSON parsing errors and creating verifiable, resumable tasks.
"name": "agent-recorder", "description": "Local-first flight recorder for Claude Code - captures MCP tool calls, subagents, and skills without recording prompts or chain-of-thought", "name": "Edyta Kucharska"
Heuristic scoring (no AI key configured).
A system prompt that enables LLM integration into Godot games by acting as a game master, handling JSON-formatted interactions and NPC dialogue. Game developers using Godot can leverage this to add AI-driven narrative and dialogue systems to their projects.
A specialized document classification agent that automatically analyzes OCR-extracted documents and categorizes them into predefined administrative document types, helping users streamline document submission and reduce back-and-forth communication with administrative staff.
A photo generation skill that uses ByteDance Seedream 4.5 to create professional AI-enhanced portraits, group photos, and edited images across 8+ use cases. Useful for designers, marketers, and content creators who need quick, high-quality visual assets.
"name": "nano-banana-2-promptor-skill", "name": "thangphistudent" "source": "./plugins/promptor",
ArmBench-LLM is a system prompt framework for evaluating large language models on Armenian language tasks through structured multiple-choice questions. It's designed for developers and AI researchers who need standardized benchmarking tools across popular coding assistants and chat platforms.
ArmBench-LLM is a system prompt for benchmarking large language models using Armenian character-to-numeric matching tasks. It's designed for developers evaluating LLM performance across multiple coding platforms.
A system prompt for Cursor that enforces direct, expert-level responses with practical code solutions and minimal explanation overhead. Ideal for experienced developers who want faster, more actionable AI assistance without verbose guidance.
The plan-generator transforms high-level product requirements into executable project blueprints (genesis.xml files) with structured task DAGs and agent assignments. It's invaluable for cofounders and product teams who need to bridge strategic vision with concrete execution plans.
A specialized system prompt for C# development in ZennoPoster automation platform, providing coding standards, API guidelines, and best practices for .NET Framework 4.0 projects. Developers using ZennoPoster for web automation and scripting tasks benefit from clear constraints and conventions.
An MCP server that enables realistic interview roleplay scenarios powered by AI, helping job seekers practice interviews and prepare for technical or behavioral assessments.
