BlackRoad OS, Inc.
Official@blackroad-os-inc · Lakeville, Minnesota
BlackRoad OS, Inc. — Delaware C-Corp, 2025. Sovereign AI operating system. 18 products, 27 agents, 329 repos.
Agent Skills by BlackRoad OS, Inc.
Showing 27 vetted skills indexed across 1 GitHub repositories.
hf-mcp
Search Hugging Face Hub models, datasets, spaces, and papers via MCP.
hugging-face-tool-builder
Fetch and enrich Hugging Face API model metadata into NDJSON output.
hugging-face-evaluation
Consolidate README benchmarks and Artificial Analysis imports into Hugging Face model-index entries.
hf-cli
Manage Hugging Face Hub repositories, models, datasets, and Spaces via the hf CLI.
transformers-js
Run state-of-the-art ML models in JavaScript with pipeline APIs.
hugging-face-datasets
Create, configure, and manage Hugging Face datasets via SQL queries and Hub operations.
hugging-face-vision-trainer
Train vision models on Hugging Face Jobs with hub-pushed artifacts.
hugging-face-trackio
Log ML training metrics via Python API and query dashboards with CLI.
hugging-face-jobs
Run Python workloads on Hugging Face Jobs with secure HF_TOKEN authentication.
gradio
Turn machine learning models into interactive web UIs with Gradio components.
hugging-face-paper-publisher
Index arXiv papers, publish them on Hugging Face Hub, and link them to repositories.
hugging-face-model-trainer
Train language models with TRL on Hugging Face Jobs and Hub.
hugging-face-dataset-viewer
Query Hugging Face datasets via the Dataset Viewer API for metadata, rows, and statistics.
using-git-worktrees
Create isolated Git worktrees with directory-priority setup and ignore verification.
test-driven-development
Guide developers through a Red-Green-Refactor cycle with failing tests first.
systematic-debugging
Trace bug root causes through a structured four-phase debugging process.
using-superpowers
Check and invoke Skills before any user-facing response across platforms.
dispatching-parallel-agents
Dispatch independent agents to investigate parallel subsystem failures and aggregate findings.
executing-plans
Execute written plans stepwise with verification and completion reporting.
finishing-a-development-branch
Present four structured options for merging, PR creation, or cleanup after tests pass.
brainstorming
Clarifies user goals and constraints through guided brainstorming sessions for feature ideas, producing a design-ready plan with trade-offs and success criteria.
writing-plans
Generate implementation plans with tasks, files, tests, and milestones.
requesting-code-review
Review code changes for production readiness and plan alignment.
receiving-code-review
Verify code-review feedback against the current codebase before implementing changes.
Frequently Asked Questions About BlackRoad OS, Inc.
FAQPage SchemaWhat specific tasks can I perform with these capabilities?▼
You can manage Hugging Face repositories, train vision and language models on distributed jobs, query dataset metadata, and execute structured software development cycles including code reviews and test-driven implementation.
Which personas benefit most from these technical offerings?▼
Machine learning engineers, data scientists, and software developers focused on model lifecycle management, repository maintenance, and systematic, test-driven code production will find these capabilities highly relevant for their daily operations.
What are the primary prerequisites for running these operations?▼
Users require an active Hugging Face account, a valid HF_TOKEN for authentication, and a local environment configured for Git and repository management to interact with the provided model and dataset interfaces.