MLShukai
Official@mlshukai · Japan
Offers specialized batch execution and desktop control interfaces for VRChat environments through optical character recognition and OSC integration.
Agent Skills by MLShukai
Showing 17 vetted skills indexed across 2 GitHub repositories.
MLShukairelease-resonite
Automates tag-driven dual publishing of ResoniteIO mod zips and PyPI packages.
MLShukaidebug-resonite-mod
Diagnose Resonite mod runtime issues using BepInEx log tailing, DLL decompilation, and container launch control.
MLShukaigithub-ops
Automates GitHub pull request, issue, and branch operations using the gh CLI inside containers.
MLShukaimerge-main
Merges the latest origin/main into a working branch and resolves conflicts before PR creation.
MLShukaitesting-strategy
Defines testing strategy for the ResoniteIO Python and C# gRPC bridge monorepo.
MLShukaiwrite-docs
Writes and extends the ResoniteIO MkDocs Material documentation site with mkdocstrings API pages.
MLShukaimigrate-claude
Migrates Claude project assets into Codex-facing repository configuration files.
MLShukaiadd-new-modality
Implements new ResoniteIO modalities across proto, C# Core, C# Mod, Python client, CLI, and tests.
MLShukaisetup-resonite-env
Configures the resonite-io devcontainer environment, Gale mod profile, and Wine DLL overrides on Linux.
MLShukairun-english
Switches the session working language to native English for reasoning and responses.
MLShukaijapanese
Locks all user-facing assistant responses to Japanese for the session.
MLShukaimigrate-codex
Regenerates Codex rules from Claude settings permissions via a deterministic script.
MLShukaiedit-dot-claude
Edits .claude/ configuration files via /tmp working copies to reduce permission prompts.
MLShukaicli-design
Defines argparse structure and output conventions for the resoio CLI.
MLShukaimaximize-parallels
Batch independent tool calls into a single request for parallel execution.
MLShukaivrcpilot-cli
Automate VRChat desktop control via CLI with OCR, template detection, and OSC actions.
MLShukaivrcpilot-testing
Define a real-resource-first testing strategy for vrcpilot automation adapters.
Frequently Asked Questions About MLShukai
FAQPage SchemaWhat specific tasks can be performed using MLShukai's interface controls?▼
Users can manage VRChat desktop operations by leveraging optical character recognition and template detection. These capabilities enable precise interaction with interface elements and the execution of OSC commands, allowing for granular control over the virtual environment without manual input.
Which technical personas benefit from these VRChat integration capabilities?▼
These resources are designed for developers and power users focused on virtual reality interface management. Engineers building custom control layers for VRChat or those requiring batch processing for high-frequency request handling will find these implementations particularly relevant for their projects.
What are the primary prerequisites for implementing these VRChat control adapters?▼
Implementation requires a functional VRChat desktop environment and an understanding of OSC protocols. Users must configure the environment to support visual template matching and character recognition, ensuring the system can accurately interpret the desktop display before executing control commands.