Sunholo LLMOps avatar

Sunholo LLMOps

Official

@sunholo-data · Denmark

0Followers
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225Public Repos
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37Published Skills

Large Language Model DevOps (LLMOps) on Google Cloud Platform. Enabling your electric dreams.

Skills Distribution
DomainDeveloper To...Language Runtime E.. (40%)Game Development S.. (30%)Software Lifecycle.. (30%)

Agent Skills by Sunholo LLMOps

Showing 37 vetted skills indexed across 3 GitHub repositories.

sunholo-datasunholo-data
3

AILANG

Load AILANG syntax via prompt before writing, checking, and running programs.

Official
Intermediate
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3

AILANG Debug

Diagnose and fix AILANG type, parse, and runtime errors.

Official
Intermediate
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3

AILANG Inbox

Coordinate cross-agent messaging with semantic search and GitHub synchronization.

Official
Intermediate
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1

Dev Tools

Inspect world state, benchmark performance, validate assets, and stress test simulations via CLI.

Community
Advanced
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1

Test Manager

Run visual regression tests comparing screenshots to golden files.

Community
Advanced
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1

Game Design Doc Creator

Create Markdown design documents for Stapledons Voyage game features.

Community
Advanced
sunholo-datasunholo-data
33

Cloud Environment Setup

Install and configure Go, Make, gh, and git for cloud Claude Code environments.

Community
Advanced
sunholo-datasunholo-data
33

Perf Reviewer

Benchmark AILANG, Python, and Go code and profile performance bottlenecks.

Community
Advanced
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33

GitHub Issue Triage

Triage open GitHub issues against design_docs and implementation status.

Community
Advanced
sunholo-datasunholo-data
33

Benchmark Manager

Create and manage AILANG eval benchmarks with YAML validation and debugging workflows.

Community
Intermediate
sunholo-datasunholo-data
33

docs-sync

Sync the AILANG documentation website with the actual codebase implementation.

Community
Intermediate
sunholo-datasunholo-data
33

Codebase Organizer

Split oversized files into AI-friendly modules while preserving dependencies and verifying tests before and after refactoring.

Community
Intermediate
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33

Model Manager

Test API access and update models.yml for new AI models.

Community
Intermediate
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33

Headless Runner

Run Claude Code programmatically with session management and JSON output.

Community
Intermediate
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33

Test Coverage Guardian

Analyze test coverage to identify gaps, dead code, and brittleness.

Community
Intermediate
sunholo-datasunholo-data
33

Design Spec Auditor

Verify code implementations against design specifications and generate compliance reports.

Community
Basic
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33

Parser Developer

Enforce token-position conventions and debugging tools for AILANG parser development.

Community
Advanced
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33

collaboration-hub

Develops and modifies the React/TypeScript UI for the multi-agent coordination platform.

Community
Intermediate
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33

Builtin Developer

Add builtin functions to AILANG via the modern registry system.

Community
Advanced
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33

ailang-feedback

Process incoming bug reports and feature requests from external projects.

Community
Intermediate
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1

Game Post-Release Tasks

Automate post-release verification, documentation updates, and Git tagging for game versions.

Official
Intermediate
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1

Starmap Manager

Download astronomical datasets and convert them into game-ready JSON.

Official
Intermediate
sunholo-datasunholo-data
1

Asset Manager

Generate and manage game image assets with automated manifest updates.

Official
Intermediate
sunholo-datasunholo-data
1

Game Sprint Executor (AILANG)

Execute AILANG sprint plans with JSON tracking and validation.

Official
Intermediate

Frequently Asked Questions About Sunholo LLMOps

FAQPage Schema
What specific development tasks are enabled by Sunholo's registry?

Sunholo enables AILANG program validation, sprint planning, and multi-agent coordination. It provides specialized modules for game asset management, visual regression testing, and codebase refactoring, ensuring that implementations remain synchronized with design documentation and performance benchmarks.

Which personas benefit most from these technical capabilities?

These capabilities are designed for software engineers, game architects, and systems developers working within the AILANG ecosystem. It is particularly suited for teams managing complex multi-agent environments or those requiring rigorous adherence to design specifications and automated release management.

What are the primary prerequisites for running these environments?

Users require a configured Google Cloud environment with Go, Make, GitHub, and Git installed. The system relies on SQLite for message persistence and requires specific YAML-based benchmark definitions for evaluating model performance and code correctness.