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BlackRoad OS, Inc.

Official

@blackroad-os-inc · Lakeville, Minnesota

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290Public Repos
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27Published Skills

BlackRoad OS, Inc. — Delaware C-Corp, 2025. Sovereign AI operating system. 18 products, 27 agents, 329 repos.

Skills Distribution
DomainAI Models & ...Model Lifecycle Ma.. (40%)Dataset Engineering (30%)Software Developme.. (30%)

Agent Skills by BlackRoad OS, Inc.

Showing 27 vetted skills indexed across 1 GitHub repositories.

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hf-mcp

Search Hugging Face Hub models, datasets, spaces, and papers via MCP.

Official
Advanced
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hugging-face-tool-builder

Fetch and enrich Hugging Face API model metadata into NDJSON output.

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Intermediate
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hugging-face-evaluation

Consolidate README benchmarks and Artificial Analysis imports into Hugging Face model-index entries.

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Advanced
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hf-cli

Manage Hugging Face Hub repositories, models, datasets, and Spaces via the hf CLI.

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Intermediate
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transformers-js

Run state-of-the-art ML models in JavaScript with pipeline APIs.

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Advanced
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hugging-face-datasets

Create, configure, and manage Hugging Face datasets via SQL queries and Hub operations.

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Advanced
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hugging-face-vision-trainer

Train vision models on Hugging Face Jobs with hub-pushed artifacts.

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Advanced
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hugging-face-trackio

Log ML training metrics via Python API and query dashboards with CLI.

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Advanced
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hugging-face-jobs

Run Python workloads on Hugging Face Jobs with secure HF_TOKEN authentication.

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gradio

Turn machine learning models into interactive web UIs with Gradio components.

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hugging-face-paper-publisher

Index arXiv papers, publish them on Hugging Face Hub, and link them to repositories.

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Advanced
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hugging-face-model-trainer

Train language models with TRL on Hugging Face Jobs and Hub.

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Advanced
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hugging-face-dataset-viewer

Query Hugging Face datasets via the Dataset Viewer API for metadata, rows, and statistics.

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Advanced
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using-git-worktrees

Create isolated Git worktrees with directory-priority setup and ignore verification.

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Advanced
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test-driven-development

Guide developers through a Red-Green-Refactor cycle with failing tests first.

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Intermediate
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systematic-debugging

Trace bug root causes through a structured four-phase debugging process.

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Advanced
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using-superpowers

Check and invoke Skills before any user-facing response across platforms.

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Advanced
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dispatching-parallel-agents

Dispatch independent agents to investigate parallel subsystem failures and aggregate findings.

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Advanced
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executing-plans

Execute written plans stepwise with verification and completion reporting.

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finishing-a-development-branch

Present four structured options for merging, PR creation, or cleanup after tests pass.

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Intermediate
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brainstorming

Clarifies user goals and constraints through guided brainstorming sessions for feature ideas, producing a design-ready plan with trade-offs and success criteria.

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Advanced
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writing-plans

Generate implementation plans with tasks, files, tests, and milestones.

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Advanced
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requesting-code-review

Review code changes for production readiness and plan alignment.

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Intermediate
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receiving-code-review

Verify code-review feedback against the current codebase before implementing changes.

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Advanced

Frequently Asked Questions About BlackRoad OS, Inc.

FAQPage Schema
What 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.