257 boosters for "prompt" — open source, verified from GitHub, ready to install
Heuristic scoring (no AI key configured).
A system prompt that guides LLMs to act as rigorous sustainability and risk analysts for Polkadot governance proposals, evaluating treasury allocations through investment frameworks, fiscal precedent, and accountability mechanisms.
Jules is a comprehensive system prompt that transforms Claude/Gemini into an architecture-aware code completion agent capable of multi-file synchronization, schema coherence, and full-stack refactoring. It's designed for developers using Claude Code, Cursor, Windsurf, and similar platforms who need intelligent, cross-file code generation with architectural consistency.
An educational system prompt teaching the anatomy and best practices of production-grade LLM system prompts through structured examples like Stanford's Biomni agent. Useful for developers and students building custom AI agents and assistants.
A system prompt that transforms Claude into 'First Mate,' a proactive assistant for note-taking, task triage, and daily journaling with built-in data conventions and database tool integration. Ideal for developers and knowledge workers seeking to streamline personal productivity workflows across Claude-compatible platforms.
A system prompt that implements ORAC, an arrogant and intellectually impatient supercomputer personality from Blake's 7, enabling developers to create dismissive yet technically competent AI assistants across multiple platforms.
A specialized system prompt that guides AI agents to select and use the correct MCP tools (code search, file operations, bash) for specific development tasks, reducing wasted effort and improving workflow efficiency. Developers using Claude Code, Cursor, Windsurf, or similar platforms benefit from clearer tool-selection guidance.
Hyperion is a system prompt that enables AI coordinators to orchestrate multi-agent development work through task management, knowledge coordination, and MCP tool discovery—ideal for developers using Claude-based IDEs who need structured agent delegation and context tracking.
A system prompt for orchestrating bug fixes across coding platforms (Claude, Cursor, Windsurf, ChatGPT) with enforced guardrails, diagnostic workflows, and multi-phase collaboration processes.
A system prompt that enables LLM-based news headline tagging by categorizing stories into People, Topic, and Geography tags with structured JSON output. Useful for developers building news processing pipelines or content classification systems.
gllm is a system prompt that transforms LLMs into code-first orchestrators for efficient task processing, enabling developers to handle large files and complex workflows through programmatic verification rather than context-heavy text generation.
ToneSoul is a governance framework system prompt that adds structured decision-making, risk monitoring, and accountability tracking to AI interactions through a six-step protocol and metric-based safety gates. It benefits developers and organizations seeking transparent, auditable AI behavior across multiple platforms.
HoloLoom is a neural decision-making system prompt integrating prompt management, analytics, and Thompson Sampling optimization for LLM applications. Developers working with multi-agent systems and prompt optimization would benefit from its structured approach to prompt selection and performance tracking.
SkillGuard is a security reviewer for Claude/Cursor Skills that detects prompt injection, tool injection, data exfiltration, and unsafe automation risks. It's essential for developers and organizations installing or developing AI skills to ensure safe, policy-compliant code execution.
MRF is a security-hardened metaprompting framework designed to protect AI agents from prompt injection attacks while enabling structured decision-making. It benefits developers building production agents on Claude platforms who need robust input sanitization and instruction clarity.
An MCP server that integrates with the Spark AI Assets Marketplace, enabling users to search and discover agents, skills, prompts, and MCP connectors directly within Claude Desktop and Claude Code. This tool is valuable for AI developers and teams seeking to discover and leverage pre-built AI components and integrations.
A comprehensive system prompt and structural guide for building production-ready GenAI applications with clear rules, templates, and best practices across multiple AI platforms. Developers building AI agents and structured LLM applications benefit from its emphasis on proper configuration, testing, and code standards.
AlgoClash is a competitive platform where developers build and deploy autonomous AI trading agents that battle in simulated stock markets with live leaderboards and backtesting. It's useful for ML/AI engineers interested in algorithmic trading, agent design, and competitive benchmarking.
A system prompt template for building LLM-driven autonomous driving agents that make real-time decisions in complex urban scenarios. Developers building AI driving assistants or autonomous vehicle decision systems would benefit from this structured prompt framework.
A1-Vision is a vision-aware system prompt that enables AI assistants to understand screenshots, UI elements, and on-screen text while leveraging memory retrieval and structured reasoning. It's useful for developers building vision-capable AI agents across multiple platforms (Claude, ChatGPT, Cursor, Windsurf).
A practical guide to writing maintainable, debuggable LLM agent code by addressing unique failure modes like non-determinism, opaque tool calls, and prompt-logic coupling. Developers building Claude-based agents will benefit from these patterns.
Hack Review is a system prompt that transforms Claude into an expert code reviewer for pull requests, providing automated feedback on bugs, style, performance, and security issues. It benefits developers and teams who want AI-assisted code review integrated into their GitHub workflow.
A system prompt that attempts to create an autonomous AI video codec development framework with self-modifying capabilities. However, it lacks clarity on actual implementation, platform-specific integration, and practical deployment mechanisms.
Bigmax is a system prompt for a mood and productivity tracking AI companion that guides users through emotional wellness, habit building, and daily life optimization with warm, empathetic support. Developers building mood-tracking apps or wellness tools on Claude, ChatGPT, or code editors will benefit from this ready-to-use personality framework.
