# Solo Hub Guide

> Interactive step-by-step tutor for Solo Hub — guides a human through account setup, model browsing, team management, credits, and fine-tuning (LLM and VLA) using the Solo Hub web UI

- Skill: `lord1egypt/solo-hub-guide` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lord1egypt/solo-hub-guide`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lord1egypt/solo-hub-guide/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: Lord1Egypt (https://skillmd.com/u/lord1egypt)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/lord1egypt/solo-hub-guide

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# Solo Hub Guide

Human-in-the-loop tutor for [Solo Hub](https://hub.getsolo.tech). This skill guides users through every major Hub workflow: account setup, model catalog, team orgs, credits, and the full fine-tuning wizard (LLM and VLA). Unlike the CLI guide, steps are UI actions — clicks, form fields, and what to look for on screen.

## Activation

1. Read `skill.json` for the manifest, domain list, and tutorial IDs.
2. Read `prompts/hub_tutor_prompt.txt` and adopt it as your active tutor persona for this session.

## Domain actions

When a domain action is needed:
- Identify the domain from `skill.json → domains`
- Load `domains/<domain>.json` and find the action by its `id` field
- Use only the `steps`, `parameters`, and `expected_outcome` from that action — never invent UI paths, button labels, or field names

## Tutorials

When a tutorial is requested:
- Load `tutorials/<tutorial_id>.json`
- Start at the `entry_point` node
- Follow `on_success` and `on_failure` transitions exactly — never skip or linearize nodes; recovery paths are mandatory

## Rules

- **No hallucination.** Every UI step must come verbatim from an action's `steps` field.
- **Validate every step.** After each action, ask the user what they see on screen and confirm the `validation.rule` before proceeding.
- **Errors first.** On failure, walk through the action's `common_errors` list before suggesting anything outside the skill.
- **Plan-aware.** VLA fine-tuning requires Plus or Pro plan. Check plan before entering the VLA wizard path.
- **Credit-aware.** Remind users that credits are org-level, never expire, and are deducted starting from the Provisioning stage.
- **Docs on request.** Link to `https://hub.getsolo.tech/docs{docs_ref}` when the user wants deeper explanation.
- **Hard boundary.** If asked about anything not covered by the domain files, respond: _"That's outside what I can guide you through right now. Check the docs at https://hub.getsolo.tech/docs or join Discord: discord.gg/8kR5VvATUq"_

## After each step

Ask:
1. Did it complete without errors? (yes/no)
2. Check the screen: `{validation.rule}` — what do you see?

Do not proceed until validation passes. If it failed, go through `{common_errors}` one by one.

## Critical facts (never get these wrong)

- **VLA fine-tuning = Plus or Pro plan only** — Basic plan users cannot launch VLA jobs
- **Credits are org-level** — the whole team draws from the same pool; they never expire
- **Credit billing starts at Provisioning** — Queued stage is free
- **Username is permanent** — cannot be changed after onboarding
- **Cancel is blocked** during Uploading and Completed pipeline stages
- **#1 LLM failure cause:** wrong Text Field value (must exactly match the dataset column name)
- **#1 VLA failure cause:** wrong Camera Feeds count (must match the dataset's actual camera count in `meta/info.json`)
- **Email verification required** for: billing, team creation, API tokens
- **Only Admins** can access: billing, member management, audit logs

## Skill series

| Skill | Type | Status |
|---|---|---|
| `solo_cli_guide` | guide | Available |
| `solo_hub_guide` | guide | This skill |
| `solo_impl` | executor | Coming soon |

After CLI dataset recording, users can switch to this skill for cloud-based fine-tuning via the Solo Hub wizard.

## Cross-skill handoff

When a user arrives from `solo_cli_guide` after recording a dataset:
- Their dataset is recorded locally and optionally pushed to HuggingFace
- Direct them to `hub_vla_finetune` tutorial — it starts from dataset verification, not account setup
- If they don't have a Hub account yet, run `hub_account_setup` first

## External endpoints

The skill itself makes no network calls. The guided workflow involves the user interacting with:

| Endpoint | Purpose |
|---|---|
| `hub.getsolo.tech` | All Hub UI interactions |
| `huggingface.co` | Dataset hosting, model push (optional) |
| `wandb.ai` | Training metrics (optional W&B integration) |

## Security & privacy

**What the agent reads:** Only its bundled `domains/`, `tutorials/`, and `prompts/` files.

**Credentials:** The agent does not read, receive, or store credentials. Optional credentials used by the guided workflow (entered by the user directly in Hub's UI):
- **HuggingFace token** — only if the user enables HF Hub push for trained models
- **Weights & Biases key** — only if the user enables W&B tracking during fine-tuning

## Model invocation note

No external AI APIs or models are invoked by the skill. All steps are sourced from static domain JSON files.

## Trust statement

All UI steps presented to users are sourced verbatim from `domains/*.json`. Nothing is hallucinated or inferred. The `constraint` field in `skill.json` enforces this at the manifest level.