Agent skill

Onboarding

by agentuse in agentuse/agentuse

Guide a new AgentUse user from a confirmed project to one validated first agent and its first CLI or Web UI run.

Custom licenceAuto-check passedFrontend & Design

Install Onboarding

skills CLI
$ npx skills add agentuse/agentuse --skill onboarding -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentuse/agentuse onboarding --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentuse/agentuse.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill-data/onboarding .claude/skills/onboarding && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
onboarding
GitHub stars
205
Token cost
~928 tokens
SKILL.md length
522 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
Custom licence

At a glance

Guide a new AgentUse user from a confirmed project to one validated first agent and its first CLI or Web UI run.

  • Works in 5 steps: Understand One Useful Job → Confirm a Provider Before Creating… → Create It in the Confirmed Project → …
  • Terminal setup and Create my first agent handoffs
  • SKILL.md covers 1. Understand One Useful Job, 2. Confirm a Provider Before…, 3. Create It in the Confirmed… and 4. Validate Without Real Effects, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Onboarding is an agent skill from agentuse/agentuse. Guide a new AgentUse user from a confirmed project to one validated first agent and its first CLI or Web UI run. Use for terminal setup and Create my first agent handoffs.

Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Frontend & Design, covering Frontend development and Multi-agent orchestration. The repository describes itself as: 🤖 AI agents on autopilot. Any model. Runs local, cron, CI/CD, or Docker.

When your agent uses it

  • Terminal setup and Create my first agent handoffs
  • Tasks that involve Frontend development
  • Tasks that involve Multi-agent orchestration

Example prompts

  • “/onboarding”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Understand One Useful Job
  2. Confirm a Provider Before Creating Anything
  3. Create It in the Confirmed Project
  4. Validate Without Real Effects
  5. Return to the Originating Surface

What it can do on your machine

Read from SKILL.md and the folder at commit 8e524de. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Onboarding loads about 928 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 522 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~928

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 522 words (~928 tokens).

“AgentUse setup has already created and registered the project. The prompt that loaded this skill supplies its exact directory; treat that path as authoritative. It should also identify the originating surface as terminal or Web UI. Do not choose another…”

— opening of SKILL.md by agentuse, Custom licence
name
onboarding

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skill-data/onboarding of agentuse/agentuse.

Open the folder on GitHubat commit 8e524de

Compare with similar skills

Onboarding next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Onboarding compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Onboarding this skillagentuse/agentuse205—~928Automated safety check: PassCustom licence
Agent Collaboration ProtocolLeoYeAI/openclaw-master-skills2.2k—~1.1kAutomated safety check: PassMIT
Preline UI Components via MCPhtmlstreamofficial/preline6.5k—~2.9kAutomated safety check: PassCustom licence
Stitch Build Loopgoogle-labs-code/stitch-skills8.4k5 repos~2.6kAutomated safety check: NotesApache-2.0
UI Code Guidelinesrazorpay/blade656—~866Automated safety check: PassMIT
State ManagementOwl-Listener/ai-design-skills181—~1.5kAutomated safety check: PassMIT

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Questions about Onboarding

What does Onboarding do?

Guide a new AgentUse user from a confirmed project to one validated first agent and its first CLI or Web UI run. Onboarding is an agent skill from agentuse/agentuse. Guide a new AgentUse user from a confirmed project to one validated first agent and its first CLI or Web UI run.

When should I use Onboarding?

Onboarding fits situations like: terminal setup and Create my first agent handoffs; tasks that involve Frontend development; tasks that involve Multi-agent orchestration.

How do I install Onboarding in Claude Code?

Run `npx skills add agentuse/agentuse --skill onboarding -a claude-code`. Or copy the skill folder (skill-data/onboarding in agentuse/agentuse) into .claude/skills/onboarding in your project. Claude Code loads it when a task matches its description.

How do I install Onboarding in Codex?

Run `npx skills add agentuse/agentuse --skill onboarding -a codex`. Or copy the skill folder (skill-data/onboarding in agentuse/agentuse) into .agents/skills/onboarding in your project. Codex loads it when a task matches its description.

Can I use Onboarding in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentuse/agentuse --skill onboarding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/onboarding, .gemini/skills/onboarding, .github/skills/onboarding and .opencode/skills/onboarding in your project.

What does Onboarding need to run?

SKILL.md names no scripts, command-line tools or credentials: Onboarding is instructions for the agent only.

Does Onboarding access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Onboarding safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Onboarding use?

Onboarding has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Onboarding use?

About 928 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Onboarding?

Skills that share tags, products or a category with Onboarding: Agent Collaboration Protocol (LeoYeAI/openclaw-master-skills, 2.2k stars), Preline UI Components via MCP (htmlstreamofficial/preline, 6.5k stars), Stitch Build Loop (google-labs-code/stitch-skills, 8.4k stars) and UI Code Guidelines (razorpay/blade, 656 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Onboarding?

agentuse (a GitHub organization) maintains it in agentuse/agentuse, which has 205 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 7, 2026.

Source: agentuse/agentuse on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.