Onboard logo

Onboard

CommunityPopular
alirezarezvani
onboard

/cs:onboard — Founder interview that populates ~/.claude/company-context.md using the canonical 7-dimension cs-onboard schema. The first command to run when starting with c-level-agents. Use when setting up the virtual C-suite for a new company, or when advisors lack company context — e.g. before a first /cs:boardroom or after a fundraise changes the numbers.

Overview

Publisheralirezarezvani
Repositoryclaude-skills
Skill nameonboard
Stars
28K
Forks
3.9K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by alirezarezvani on GitHub. Read the source before you install it.

Installation

Install the Onboard AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/onboard
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/c-level-agents/skills/onboard .claude/skills/onboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Onboard in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Onboard on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Onboard is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/cs:onboard — Founder Interview

Command: /cs:onboard

The first command to run when adopting c-level-agents. A structured founder interview that produces ~/.claude/company-context.md — the file every cs-* advisor reads before responding. Without this, the advisors are guessing.

What This Produces

~/.claude/company-context.md — a single file with the durable facts about the company. Read by:

  • cs-chief-of-staff (routing decisions)
  • Every cs-* advisor (context for any question)
  • /cs:brief (assumptions in any new decision)

The Interview (12 Questions)

Company Basics

  1. Company name and one-sentence pitch.
  2. Stage: pre-seed / seed / Series A / Series B / Series C+ / public
  3. Headcount: total, by function (eng / product / GTM / ops / G&A)
  4. Geographic distribution: HQ + remote split, key countries

Business Model

  1. Revenue model: SaaS subscription / usage / transaction / marketplace / hardware / services
  2. ICP: name one real customer and describe what they have in common with others
  3. ACV: median and range; deal count last 12 months
  4. Growth rate: ARR YoY; if pre-revenue, leading metric (users, MAU, etc.)

Financial Posture

  1. Runway: months of cash at current burn; bear-case months
  2. Last raise: amount, valuation, lead investor, date

Strategic Context

  1. Top 3 priorities for the current quarter (in plain language)
  2. Top 3 risks the founder loses sleep over (be specific)

Output Format

Canonical schema: ~/.claude/company-context.md is owned by the cs-onboard skill and follows its 7-dimension schema (../../../c-level-advisor/skills/cs-onboard/templates/company-context-template.md): Company Identity, Stage & Scale, Founder Profile, Team & Culture, Market & Competition, Current Challenges, Goals & Ambition. The 12 questions above are a faster structured intake that populates that same file — Identity/Business/Financial → Stage & Scale, Team → Team & Culture, Quarter priorities/risks → Current Challenges + Goals & Ambition. Write [not captured] for dimensions the quick intake doesn't reach (Founder Profile, Market & Competition); run the full cs-onboard interview to fill them. Never create a second context file or a divergent layout.

The intake summary captured by the 12 questions:

markdown
# Company Context
**Generated:** YYYY-MM-DD
**Last updated:** YYYY-MM-DD

## Identity
- **Company:** <name>
- **Pitch:** <one sentence>
- **Stage:** <stage>
- **HQ + remote:** <distribution>

## Business
- **Model:** <type>
- **ICP:** <description + named customer>
- **ACV:** $<median> (range $<low> - $<high>)
- **Deal count (LTM):** N
- **ARR growth (YoY):** X%

## Financial
- **Cash on hand:** $<amount>
- **Net burn (monthly):** $<amount>
- **Runway base:** N months
- **Runway bear:** N months
- **Last raise:** $<amount> at $<post> in <month YYYY>, led by <investor>

## Team
- **Total headcount:** N
- **Eng:** N | Product: N | GTM: N | Ops: N | G&A: N

## Quarter
- **Top priorities (Q<X> YYYY):**
  1. <priority>
  2. <priority>
  3. <priority>

- **Top risks:**
  1. <risk>
  2. <risk>
  3. <risk>

## Routing Hints
[Optional: any role the founder wants to use sparingly or rely on heavily]

Workflow

  1. Walk the founder through all 12 questions
  2. Quote founder's own words wherever possible (don't paraphrase the ICP)
  3. Save to ~/.claude/company-context.md
  4. (Optional) If llm-wiki bridge is configured: symlink to vault
    bash
    ln -sf ~/company-vault/00-meta/company-context.md ~/.claude/company-context.md
  5. Confirm with founder: read the file back, ask "anything missing?"

When to Re-Run

  • After a fundraise (numbers change)
  • After a major pivot or product launch
  • After 6+ months (most facts have drifted)
  • After a major hire (team distribution changes)
  • Always before a /cs:boardroom for a high-stakes decision

Persistence

By default, ~/.claude/company-context.md is local to the founder's machine. To make it persistent across machines / shareable:

Related


Version: 1.0.0

Frequently asked questions

What does the Onboard AI skill do?

/cs:onboard — Founder interview that populates ~/.claude/company-context.md using the canonical 7-dimension cs-onboard schema. The first command to run when starting with c-level-agents. Use when setting up the virtual C-suite for a new company, or when advisors lack company context — e.g. before a first /cs:boardroom or after a fundraise changes the numbers.

Why use Onboard on TypingMind?

Because you install it once and use it with any model. Onboard is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Onboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/onboard. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Onboard?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Onboard?

As many as you like. As long as a model supports skills, you can use Onboard with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Onboard AI skill free?

Yes. It is published on GitHub by alirezarezvani under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇