mirror of https://github.com/NousResearch/hermes-agent.git synced 2026-05-13 03:52:00 +00:00

Teknium 98db898c0b feat(skills): declare platforms frontmatter for all 79 undeclared built-in skills

Completes the Windows-gating coverage for the built-in skills/ tree. Every
bundled SKILL.md now carries an explicit platforms: declaration so the
loader (agent.skill_utils.skill_matches_platform) can skip-load skills
that don't fit the current OS.

74 skills declared cross-platform (platforms: [linux, macos, windows]):
  Creative (16): ascii-art, ascii-video, architecture-diagram, baoyu-comic,
    baoyu-infographic, claude-design, creative-ideation, design-md,
    excalidraw, humanizer, manim-video, p5js, pixel-art,
    popular-web-designs, pretext, sketch, songwriting-and-ai-music,
    touchdesigner-mcp
  Autonomous agents: claude-code, codex, hermes-agent, opencode
  Data/devops: jupyter-live-kernel, kanban-orchestrator, kanban-worker,
    webhook-subscriptions, dogfood, codebase-inspection
  GitHub: github-auth, github-code-review, github-issues,
    github-pr-workflow, github-repo-management
  Media: gif-search, heartmula, songsee, spotify, youtube-content
  MCP / email / gaming / notes / smart-home: native-mcp, himalaya,
    pokemon-player, obsidian, openhue
  mlops (non-broken): weights-and-biases, huggingface-hub, llama-cpp,
    outlines, segment-anything-model, dspy, trl-fine-tuning
  Productivity: airtable, google-workspace, linear, maps, nano-pdf,
    notion, ocr-and-documents, powerpoint
  Red-teaming / research: godmode, arxiv, blogwatcher, llm-wiki,
    polymarket
  Software-dev: debugging-hermes-tui-commands, hermes-agent-skill-authoring,
    node-inspect-debugger, plan, requesting-code-review, spike,
    subagent-driven-development, systematic-debugging,
    test-driven-development, writing-plans
  Misc: yuanbao

5 skills gated from Windows (platforms: [linux, macos]):
  mlops/inference/vllm (serving-llms-vllm)
    vLLM is officially Linux-only; Windows requires WSL.
  mlops/training/axolotl
    Axolotl's flash-attn + deepspeed + bitsandbytes stack is Linux-first.
  mlops/training/unsloth
    Requires Triton + xformers + flash-attn — Linux only in practice.
  mlops/models/audiocraft (audiocraft-audio-generation)
    torchaudio ffmpeg backend + encodec dependencies are Linux-first.
  mlops/inference/obliteratus
    Research abliteration workflow; relies on Linux-focused pytorch
    kernels and MLX — no first-class Windows path.

Same strict-over-lenient policy as the optional-skills sweep: when the
underlying tool's Windows support is rough, missing, or WSL-only, gate the
skill. Easier to un-gate after verified Windows support lands than to leak
partial support that manifests as mid-task failures.

Combined with prior commits in this branch, every bundled SKILL.md
(skills/ + optional-skills/) now has a platforms: declaration.

2026-05-08 14:27:40 -07:00

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Hugging Face CLI (`hf`) Reference Guide

The hf command is the modern command-line interface for interacting with the Hugging Face Hub, providing tools to manage repositories, models, datasets, and Spaces.

IMPORTANT: The hf command replaces the now deprecated huggingface-cli command.

Quick Start

Installation: curl -LsSf https://hf.co/cli/install.sh | bash -s
Help: Use hf --help to view all available functions and real-world examples.
Authentication: Recommended via HF_TOKEN environment variable or the --token flag.

Core Commands

General Operations

hf download REPO_ID: Download files from the Hub.
hf upload REPO_ID: Upload files/folders (recommended for single-commit).
hf upload-large-folder REPO_ID LOCAL_PATH: Recommended for resumable uploads of large directories.
hf sync: Sync files between a local directory and a bucket.
hf env / hf version: View environment and version details.

Authentication (`hf auth`)

login / logout: Manage sessions using tokens from huggingface.co/settings/tokens.
list / switch: Manage and toggle between multiple stored access tokens.
whoami: Identify the currently logged-in account.

Repository Management (`hf repos`)

create / delete: Create or permanently remove repositories.
duplicate: Clone a model, dataset, or Space to a new ID.
move: Transfer a repository between namespaces.
branch / tag: Manage Git-like references.
delete-files: Remove specific files using patterns.

Specialized Hub Interactions

Datasets & Models

Datasets: hf datasets list, info, and parquet (list parquet URLs).
SQL Queries: hf datasets sql SQL — Execute raw SQL via DuckDB against dataset parquet URLs.
Models: hf models list and info.
Papers: hf papers list — View daily papers.

Discussions & Pull Requests (`hf discussions`)

Manage the lifecycle of Hub contributions: list, create, info, comment, close, reopen, and rename.
diff: View changes in a PR.
merge: Finalize pull requests.

Infrastructure & Compute

Endpoints: Deploy and manage Inference Endpoints (deploy, pause, resume, scale-to-zero, catalog).
Jobs: Run compute tasks on HF infrastructure. Includes hf jobs uv for running Python scripts with inline dependencies and stats for resource monitoring.
Spaces: Manage interactive apps. Includes dev-mode and hot-reload for Python files without full restarts.

Storage & Automation

Buckets: Full S3-like bucket management (create, cp, mv, rm, sync).
Cache: Manage local storage with list, prune (remove detached revisions), and verify (checksum checks).
Webhooks: Automate workflows by managing Hub webhooks (create, watch, enable/disable).
Collections: Organize Hub items into collections (add-item, update, list).

Advanced Usage & Tips

Global Flags

--format json: Produces machine-readable output for automation.
-q / --quiet: Limits output to IDs only.

Extensions & Skills

Extensions: Extend CLI functionality via GitHub repositories using hf extensions install REPO_ID.
Skills: Manage AI assistant skills with hf skills add.

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Hugging Face CLI (hf) Reference Guide