665 boosters for "all" — open source, verified from GitHub, ready to install
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.
ADK Multi-Agent Architecture enables developers to build serverless AI agents with function calling capabilities integrated directly into workflows, ideal for DevOps, SRE, and automation teams needing intelligent decision-making at scale.
c-pro is a C programming expert agent that helps developers write efficient, secure code with proper memory management, pointer handling, and system-level operations for embedded systems and performance-critical applications.
Cursor Rules for attestr, a Nostr-based decentralized protocol for mutually-signed agreements. Developers building Nostr applications with React can use this to integrate protocol rules and contract functionality into their cursor-based workflow.
Total Recall preserves Claude Code session context before resets or token limits, enabling seamless context restoration across interruptions. Developers working on complex, long-running projects benefit most from avoiding context loss and rework.
Extracts and summarizes YouTube video transcripts into structured notes with key learnings and actionable suggestions. Useful for researchers, students, and content consumers who want quick, clean summaries without manual transcription.
A Chief Technology Officer agent that guides enterprise technology strategy decisions, including investment evaluation, technical vision setting, and architectural planning. Ideal for organizations needing structured CTO-level guidance on technology roadmaps and innovation initiatives.
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.
Skill Forge automates the creation and packaging of AI skills from external sources like GitHub repos and documentation, enabling developers to quickly convert resources into deployable skills for Claude. It's ideal for developers who want to transform existing code or knowledge bases into reusable AI-powered tools.
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.
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 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.
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.
mybin is a personal collection of 65+ production-ready CLI utility scripts (Python, Bash, Ruby) for AI/LLM integration, system utilities, and development tasks that Claude Code can proactively leverage. Developers with Unix-style workflows and frequent CLI automation needs benefit from instant access to tested, reusable tools.
CodeRide is an MCP server that maintains persistent context across coding sessions, eliminating the need to reset context when switching between Claude, Cursor, and other compatible platforms. Developers working on long-term projects benefit from continuous context preservation without manual reset cycles.
A Python package implementing the Hivemind Protocol, a decentralized ranked choice voting system with IPFS storage and Bitcoin cryptographic verification. Developers building decentralized governance or voting systems will benefit from this ready-made implementation.
This skill enables developers to create cryptographically signed, immutable constitutions for AI tool-use governance in OpenClaw, with Ed25519 signing, GitTruth attestation, and policy evaluation artifacts. It's designed for teams implementing constitutional governance frameworks for AI agents.
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.
A comprehensive guide to creating and configuring AI agents in the AgenticAI Core SDK, enabling developers to build autonomous agents with specific roles, LLM decision-making, and reusable tools. Essential for developers building multi-agent applications.
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.
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 skill for looking up Swedish medication information from the official FASS database, helping users understand dosages, side effects, interactions, and prescriptions in Sweden.
Heuristic scoring (no AI key configured).
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.
