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Agent skill

Onboard Agent

by sharpdeveye in sharpdeveye/maestro

A skill your agent uses when starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.

MITAuto-check passed

Install Onboard Agent

skills CLI
$ npx skills add sharpdeveye/maestro --skill onboard-agent -a claude-code

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

GitHub CLI
$ gh skill install sharpdeveye/maestro onboard-agent --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/sharpdeveye/maestro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/skills/onboard-agent .claude/skills/onboard-agent && 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
onboard-agent
GitHub stars
592
Token cost
~638 tokens
SKILL.md length
178 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.

  • Works in 4 steps: Establish Conventions → Create Initial Structure → Create the First Agent → …
  • Starting a new project
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Adding a new agent to an existing system

What it does

Onboard Agent is an agent skill from sharpdeveye/maestro. Use when starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.

Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and… The licence is MIT.

When your agent uses it

  • Starting a new project
  • Adding a new agent to an existing system
  • Setting up workflow infrastructure from scratch

Example prompts

  • “/onboard-agent”

Workflow steps

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

  1. Establish Conventions
  2. Create Initial Structure
  3. Create the First Agent
  4. Verify

What it can do on your machine

Read from SKILL.md and the folder at commit 00f9115. 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 markdown).

    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

Onboard Agent loads about 638 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 178 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~638

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

The full file from sharpdeveye/maestro at commit 00f9115, republished under its MIT licence (© sharpdeveye). 178 words, ~638 tokens.

Download SKILL.mdSave it as .claude/skills/onboard-agent/SKILL.md (or your agent's skills folder).
name
onboard-agent
description
Use when starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.
argument-hint
[project or agent name]
category
utility
version
2.0.0
user-invocable
true

MANDATORY PREPARATION

Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first.

Bootstrap a new agent workflow from scratch, or add a new agent to an existing system.

Step 1: Establish Conventions
markdown
## Workflow Conventions
### Prompt Format
- Delimiter style: [XML tags / markdown headers / triple-dash]
- Section order: [System → Context → Instructions → Input]
- Output format: [JSON with schema / markdown template]

### Tool Conventions
- Naming: [verb_noun / noun.verb / camelCase]
- Description template: [What → When → When Not → Returns]
- Error format: [{ code, message, details }]

### Logging
- Format: [JSON structured]
- Required fields: [workflow_id, step, timestamp, level]

### File Structure
- Prompts: [prompts/workflow-name/v1.md]
- Tools: [tools/tool-name.{ext}]
- Config: [config/environment.yaml]
- Tests: [tests/workflow-name/]
Step 2: Create Initial Structure
text
project/
├── prompts/          # System prompts, versioned
├── tools/            # Tool definitions
├── config/           # Environment-specific configuration
├── tests/            # Golden test sets and evaluation suites
├── logs/             # Runtime logs (gitignored)
└── .maestro.md       # Workflow context
Step 3: Create the First Agent
  1. System prompt: Role definition with constraints
  2. 2-3 essential tools: Start with the minimum viable tool set
  3. Output schema: Define expected output format
  4. One golden test: At least one test case with known-good output
  5. Basic error handling: Structured error responses
  6. Logging: Structured log output for each run
Step 4: Verify
  • Run the agent with the golden test case
  • Verify error handling works (send bad input)
  • Verify logging captures useful context

After onboarding, run /diagnose for a baseline health check, then /fortify to add production-grade error handling.

NEVER:

  • Start building without establishing conventions
  • Create tools without descriptions
  • Skip the golden test case
  • Over-scope the initial agent (start minimal, amplify later)

© sharpdeveye, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in source/skills/onboard-agent of sharpdeveye/maestro.

Open the folder on GitHubat commit 00f9115

Compare with similar skills

Onboard Agent 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.

Onboard Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Onboard Agent this skillsharpdeveye/maestro592—~638Automated safety check: PassMIT
Onboardalirezarezvani/claude-skills28k—~1.3kAutomated safety check: PassMIT
Codebase Onboardingaffaan-m/ECC275k3 repos~2kAutomated safety check: PassMIT
StartDonchitos/Claude-Code-Game-Studios26k—~6.4kAutomated safety check: PassMIT
Onboardingsickn33/agentic-awesome-skills47k1 repos~1.8kAutomated safety check: PassMIT
Contributor Onboarding DocDonchitos/Claude-Code-Game-Studios26k—~1.4kAutomated safety check: PassMIT

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  • Compose

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  • Diagnose

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  • Extract Pattern

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  • Fortify

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Questions about Onboard Agent

What does Onboard Agent do?

A skill your agent uses when starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch. Onboard Agent is an agent skill from sharpdeveye/maestro. Use when starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.

When should I use Onboard Agent?

Onboard Agent fits situations like: starting a new project; adding a new agent to an existing system; setting up workflow infrastructure from scratch.

How do I install Onboard Agent in Claude Code?

Run `npx skills add sharpdeveye/maestro --skill onboard-agent -a claude-code`. Or copy the skill folder (source/skills/onboard-agent in sharpdeveye/maestro) into .claude/skills/onboard-agent in your project. Claude Code loads it when a task matches its description.

How do I install Onboard Agent in Codex?

Run `npx skills add sharpdeveye/maestro --skill onboard-agent -a codex`. Or copy the skill folder (source/skills/onboard-agent in sharpdeveye/maestro) into .agents/skills/onboard-agent in your project. Codex loads it when a task matches its description.

Can I use Onboard Agent 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 sharpdeveye/maestro --skill onboard-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/onboard-agent, .gemini/skills/onboard-agent, .github/skills/onboard-agent and .opencode/skills/onboard-agent in your project.

What does Onboard Agent need to run?

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

Does Onboard Agent 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 Onboard Agent 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 Onboard Agent use?

Onboard Agent is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Onboard Agent use?

About 638 tokens (SKILL.md is roughly 2.6k 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 Onboard Agent?

Skills that share tags, products or a category with Onboard Agent: Onboard (alirezarezvani/claude-skills, 28k stars), Codebase Onboarding (affaan-m/ECC, 275k stars), Start (Donchitos/Claude-Code-Game-Studios, 26k stars) and Onboarding (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Onboard Agent?

sharpdeveye (a GitHub user) maintains it in sharpdeveye/maestro, which has 592 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on April 29, 2026.

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