582 boosters for "all" — AI-graded, open source, ready to install
Heuristic scoring (no AI key configured).
Enables AI agents to parallelize independent development tasks using git worktrees, splitting work across multiple concurrent tracks while maintaining context continuity. Ideal for teams coordinating multiple Claude Code sessions on non-overlapping features.
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.
This MCP server integrates the json2video API with Claude, enabling AI-powered video generation from JSON configurations. It's useful for developers building AI applications that need to programmatically generate videos.
A mandatory human escalation agent that intercepts all errors and uncertainties across other agents to ensure human oversight. Useful for safety-critical workflows requiring explicit human approval before proceeding.
MCP server that enables previewing local HTML files and capturing screenshots within Claude, streamlining web development workflows by allowing developers to test and visualize HTML changes without leaving their AI assistant.
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.
A comprehensive tutorial chapter teaching developers how to build and deploy intelligent AI agents with tool use and automation capabilities in AnythingLLM. Ideal for engineers looking to add autonomous workflows and function-calling to their self-hosted RAG systems.
Automatically inserts checkpoint calls into jamovi R functions to enable incremental result rendering and change detection during long computations. Useful for jamovi module developers seeking to improve user experience with progress visibility.
A prompt-based ruleset for Cursor that applies negation and critical thinking techniques to enhance argumentation and collective decision-making. Useful for teams seeking to improve sense-making and governance processes through structured debate frameworks.
Teaches the functional options pattern for designing flexible Go APIs with optional configuration, helping developers build clean, extensible constructors that scale as requirements grow.
A resource-allocator agent for optimizing task distribution and resource management across agent-based workflows in Claude environments. Benefits operations teams and developers building multi-agent systems.
An MCP server that integrates Okta identity and access management APIs into Claude, enabling developers to programmatically manage users, groups, and authentication workflows directly from their AI assistant.
An AI-powered code review agent that automatically analyzes code changes for quality, security, and maintainability issues, providing prioritized feedback with specific fixes. Ideal for developers seeking proactive code quality assurance and security vetting in their workflows.
Skill Issue audits installed agent skills to provide health reports including inventory, usage tracking, version checks, and actionable recommendations. Essential for agents managing multiple skills who need visibility into ecosystem health and dependency status.
A Claude agent designed to help developers tackle coding challenges and agent-related tasks across Claude Code and Claude Desktop environments. Useful for developers building agents who need structured assistance with problem-solving.
A load-balancer agent that distributes agent tasks across multiple workers using library-first design patterns. Useful for operations teams optimizing task distribution and resource allocation in multi-agent systems.
An adversarial validation agent that challenges expertise claims and mental models to prevent overconfident reasoning. Useful for researchers, engineers, and decision-makers who need rigorous validation of their assumptions.
A structured three-stage workflow booster for mathematical modeling competitions (CUMCM, MCM/ICM) that guides users through problem analysis, code implementation, and academic paper writing. Ideal for students and professionals tackling mathematical modeling challenges.
Enables Claude to delegate code review, debugging, and alternative implementation exploration to Google Gemini CLI through a JSON bridge script. Useful for developers who want multi-model validation and second opinions on code without manual context switching.
This MCP Server enables seamless integration with GrowthBook, allowing developers to manage feature flags, experiments, and A/B tests directly through Claude. It's essential for product teams and engineers who use GrowthBook for feature management and experimentation workflows.
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.
