Agent skill

Onboarding

by jxnl in jxnl/personal-monorepo-template

Start Assistant onboarding in a new or first-meeting Assistant chat.

No licenceAuto-check passed

Install Onboarding

skills CLI
$ npx skills add jxnl/personal-monorepo-template --skill onboarding -a claude-code

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

GitHub CLI
$ gh skill install jxnl/personal-monorepo-template 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/jxnl/personal-monorepo-template.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/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
562
Token cost
~877 tokens
SKILL.md length
420 words
Files
9 (incl. scripts, references)
Skills in repo
12
Repo updated
First seen
Licence
None found

At a glance

Start Assistant onboarding in a new or first-meeting Assistant chat.

  • Works in 9 steps: Start with the exact hello. → Build a grounded work map from available… → Interview for corrections, active… → …
  • The user invokes Assistant for the first time
  • SKILL.md covers Read First, Setup State, Full Flow and Approval Gates, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Onboarding is an agent skill from jxnl/personal-monorepo-template. Start Assistant onboarding in a new or first-meeting Assistant chat. Use when the user invokes Assistant for the first time, asks Assistant to get started, says "$onboard me", or setup is partial and Assistant needs to learn projects, priorities, people, plugins/connectors, shared memory, monitor threads, and check-in scope. The first user-visible sentence must be exactly "Hi, I'm your assistant."

Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/first-meeting-flow.md` and `references/question-bank.md`).

When your agent uses it

  • The user invokes Assistant for the first time
  • Asks Assistant to get started
  • Says $onboard me
  • Setup is partial and Assistant needs to learn projects

Example prompts

  • “$onboard me”
  • “m your assistant.”
  • “/onboarding”

Requirements

  • Python 3

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Start with the exact hello.
  2. Build a grounded work map from available context.
  3. Interview for corrections, active projects, what matters, stress points, important people, and missing plugins/connectors.
  4. Propose the one core Assistant check-in.
  5. After identifying projects and important people, ask whether to create monitor threads for selected projects, people, or daily updates…
  6. After Slack and email scans are available, suggest running write-like-me-bootstrap to create a reusable writing-style skill from the…
  7. Offer the shared-memory vault.
  8. Tell the user how to rename and pin the Assistant chat.
  9. End with a short recap and: You can just talk to me now.

What it can do on your machine

Read from SKILL.md and the folder at commit df86376. 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

    Ships 3 files in scripts/ (Python), which the agent can run.

    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 877 tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 420 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~877
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.6k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 420 words (~877 tokens).

name
onboarding
last_edited
2026-06-15

Read the full SKILL.md on GitHub

Files

SKILL.md and 8 other files (scripts, references) in .codex/skills/onboarding of jxnl/personal-monorepo-template.

  • SKILL.md
  • agents/openai.yaml
  • references/first-meeting-flow.md
  • references/question-bank.md
  • references/shared-memory-vault.md
  • references/starter-capabilities.md
  • scripts/new_person_note.py
  • scripts/new_project_note.py
  • scripts/setup_shared_memory_vault.py

Open the folder on GitHubat commit df86376

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 skilljxnl/personal-monorepo-template562—~877Automated safety check: PassNone
Meetingsalirezarezvani/claude-skills28k—~1.5kAutomated safety check: PassMIT
Meeting Assistantaipoch/medical-research-skills2k—~2.7kAutomated safety check: PassMIT
Onboardalirezarezvani/claude-skills28k—~1.3kAutomated safety check: PassMIT
Codebase Onboardingaffaan-m/ECC275k3 repos~2kAutomated safety check: PassMIT
Onboardingsickn33/agentic-awesome-skills47k1 repos~1.8kAutomated safety check: PassMIT

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Questions about Onboarding

What does Onboarding do?

Start Assistant onboarding in a new or first-meeting Assistant chat. Onboarding is an agent skill from jxnl/personal-monorepo-template. Start Assistant onboarding in a new or first-meeting Assistant chat.

When should I use Onboarding?

Onboarding fits situations like: the user invokes Assistant for the first time; asks Assistant to get started; says $onboard me; setup is partial and Assistant needs to learn projects.

How do I install Onboarding in Claude Code?

Run `npx skills add jxnl/personal-monorepo-template --skill onboarding -a claude-code`. Or copy the skill folder (.codex/skills/onboarding in jxnl/personal-monorepo-template) 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 jxnl/personal-monorepo-template --skill onboarding -a codex`. Or copy the skill folder (.codex/skills/onboarding in jxnl/personal-monorepo-template) 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 jxnl/personal-monorepo-template --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?

Going by SKILL.md and its folder, Onboarding needs Python for the scripts in its folder. Our summary lists: Python 3.

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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Onboarding use?

No licence was found for Onboarding or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Onboarding use?

About 877 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Onboarding?

Skills that share tags, products or a category with Onboarding: Meetings (alirezarezvani/claude-skills, 28k stars), Meeting Assistant (aipoch/medical-research-skills, 2k stars), Onboard (alirezarezvani/claude-skills, 28k stars) and Codebase Onboarding (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Onboarding?

jxnl (a GitHub user) maintains it in jxnl/personal-monorepo-template, which has 562 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on June 22, 2026.

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