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1,153–1,176 of 1,686 · Most stars

TranslatedOfficial Document Writing Skills | AI official document writing assistant: prevents fabrication, keeps confidentiality, one-click GB/T 9704 formatting, covers 22 types of documents, supports Claude Code / Codex / Cursor

Let your AI agents call your phone over VoIP, and call them back. Your phone rings like a real call, even locked; a voice AI talks it through and returns the transcript. Self-hosted, open source, no phone numbers or Twilio.

Russian text quality for AI agents — neuroslop cleanup, typography, information style, editorial standards, UX writing, business correspondence. Scores text 0–10. 2,000+ linguistic atoms.

Studio-grade sound effects for agents: search Pixabay, Freesound, Mixkit and Kenney, ranked by human feedback

50x your usage with cheap-ag. Opus/Astra plans, a dirt-cheap model writes every line, and tests decide what ships. Your $20 plan stops hitting limits. One MCP server for Claude Code & Codex.

Edit photos by describing the change, on your own GPU. A free, open-source alternative to Nano Banana and ChatGPT image editing: photos stay on your computer, no daily limit. One installer for Windows, Mac and Linux sets up the best open model (Qwen-Image 2.1). MCP server for AI agents.

TranslatedAn enterprise-grade desktop AI Agent workbench that lets skills, knowledge, and tasks work together in one place.

  • agent
  • agent-desktop
  • harness
  • harness-ai

Zelda: Tears of the Kingdom (TotK) 1.0.0 recompiled to native Windows and Vulkan. Frame cap up to 240, DLSS option, mouse and keyboard. Open source, mostly written by AI agents. You build it from your own dump; no game files included. Measured on one PC so far.

  • pc-port
  • recompilation
  • static-recompilation
  • tears-of-the-kingdom

TranslatedAn open-source traffic debugging workbench for developers and AI Agents, making business anomalies filterable, debugging changes traceable, and troubleshooting scenes shareable.

  • lua
  • mitm
  • mitm-proxy
  • mitmproxy

An agent skill for causal teaching figures through predict, try, and explain. Includes rendering kits, reviewed examples, and browser checks.