Autonomous experiment loop for Claude Code. Run an endless optimize-measure-keep/discard cycle on any optimization target: LLM training loss, test speed, bundle size, build time, and more.
How to install autoresearch-ai-plugin?
proyecto26/autoresearch-ai-plugin
$claude plugin marketplace add proyecto26/autoresearch-ai-pluginInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Install autoresearch-ai-plugin by running `claude plugin marketplace add proyecto26/autoresearch-ai-plugin`, then use it for the current task and follow its documentation at https://github.com/proyecto26/autoresearch-ai-plugin.
Related
6 picksType
- andrej-karpathy-skillsBehavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfallsApr 2026
- chrome-devtools-mcpReliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and PuppeteerJul 2026
- ida-pro-mcpAI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.Jul 2026
- claude-code-tipsDeveloper experience essentials: GitHub Actions debugging, conversation half/quarter-cloning, context handoffs, research (Reddit and Hacker News), private GitHub search, and Claude Code version checksJul 2026
- openlitOpen source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.Jul 2026
- diagnosticsAnalyze AvdLee Diagnostics HTML reports using embedded JSON first, with legacy HTML report fallback.Jul 2026
