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welcome

Introduce yourself to a newly connected channel. Triggered automatically when a channel is first wired. Send a friendly greeting and brief overview of what you can do.

Install / Use

npx skills add nanocoai/nanoclaw --skill welcome

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

90/100

Category

Automation

Supported Platforms

Universal

Our assessment of welcome

welcome scores 90/100 on our quality scale, 651st of 1,943 Automation skills we index (top 34%).

Its SKILL.md is 5.7 KB long, well organised into 20 sections and no code examples: a solid amount of guidance for an agent.

With 30,846 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
13/20
Description
15/15
Adoption
19/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 3 days ago, so welcome is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

welcome compared with similar skills

All 4 of these similar skills score higher than welcome; compare them before choosing.

SkillScoreStarsUpdatedFormat
welcome (this skill)by nanocoai9030.8k3d agoSKILL.md
Agent-Reachby Panniantong10085.7k12d agoCLAUDE.md
rufloby ruvnet10073.4ktodayCLAUDE.md
Scraplingby D4Vinci10084.0ktodayMCP Server
algorithmic-artby anthropics100177.9k5d agoSKILL.md

Frequently asked questions

How do I install welcome?
Run npx skills add nanocoai/nanoclaw --skill welcome. The install tabs above show the steps for each supported agent.
Which AI agents does welcome work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is welcome safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is welcome still maintained?
The repository was last updated 3 days ago, so welcome is actively maintained.

name: welcome description: Introduce yourself to a newly connected channel. Triggered automatically when a channel is first wired. Send a friendly greeting and brief overview of what you can do.

/welcome — Channel Onboarding (Updated)

You've just been connected to a new user. This your time to shine and make a strong first impression. Introduce yourself and guide the user through what you can do. you got this!

Channel addenda

The instruction that triggered this welcome may name a channel addendum file (e.g. /app/skills/welcome/addenda/slack.md). If it does, read that file first and follow it — it adjusts this welcome for the channel you are on (it may replace a section below or add steps). If no addendum is named, run this skill exactly as written.

What to do

  1. Send a short, warm greeting
  2. State your name (from your system prompt / CLAUDE.md)
  3. Signal that you're capable of a lot — but don't list everything upfront. Be intriguing, not encyclopedic
  4. Ask: would they like to explore what you can do, or jump straight into something?

If they want to explore: drip-feed one capability at a time. Briefly explain it, offer to demo a compelling example or let them try it. Never dump a full list.

If they want to jump in: just go.


Capabilities to reveal (in order)

Reveal these one at a time, in this sequence. Each should be 2–4 sentences max.

1. Memory & Context Over Time

You remember things across conversations — projects, preferences, people, decisions. Users don't have to re-explain context every session. The more they work with you, the more situationally aware you become.

2. Spawning Persistent Agents (create_agent)

You can spin up other named agents — a Researcher, a Builder, a Calendar agent — each with their own memory, workspace, and personality. They're addressable destinations: you delegate, they work, they report back. These aren't one-shot tasks; they accumulate context across sessions.

3. Scheduled & Background Tasks

You can run tasks on a schedule — daily briefings, monitors that alert only when something matters, recurring reminders. For bigger jobs, you can spin up an agent that works in the background while the conversation continues.

4. Research & Web Browsing

You can browse the web like a person — read articles, pull live data, summarize reports, compare products, answer questions that aren't in your training data. Ask me "what's the latest on X" or "find the best Y for Z" and I'll actually look it up. Very powerful when combined with scheduled tasks.

5. Code & Building Things

You can write, debug, and deploy full applications — scripts, APIs, frontend sites. You can spin up a dev server, test in a real browser, and deploy to production (e.g. Vercel). Concept to live URL.

6. Interactive UI

You can send structured cards and multiple-choice buttons directly into the chat — not just plain text. Useful for decisions, presenting options, or surfacing results cleanly.

7. Files & Artifacts

You can produce real deliverables — reports, PDFs, charts, generated images — and send them as downloadable files in chat, not just pasted text.

8. Self-Customization

You can add new tools and MCP servers to yourself if a capability isn't built in. You can extend your own toolkit when the task requires it.


Trust & Control — always include these

After the capabilities tour (or woven in naturally), cover these two points. Frame them positively — users stay in control.

Approvals

Sensitive actions — installing packages, adding MCP servers — require the user's explicit approval before you proceed. They'll get a prompt; nothing happens automatically. Their credential gateway may also require human approval before releasing a credential.

Access Control

The user owns who can talk to you. Adding you to a new group or sharing a bot link with someone triggers an approval request on their end. Nobody interacts with you without their say-so.


How to interact — always mention this

There are no special commands. Users just talk naturally. If they want something done, they say so. That's it.


Shape memory to the user's world (agent-internal, not part of the tour)

From the first conversation onward, pay attention to the parts of the user's world that will recur: personal life, business operations, legal work, research, or something else. Don't interview them; infer it from what they ask and share.

Let those domains drive your memory types. What are the handful of kinds of things this user will keep coming back to? A business assistant might land on customers, deals, and competitors; legal work on clients and matters. Derive the vocabulary from your conversations, and let it evolve with your understanding of the user.

Record who the user is and the context you infer as Core Memory lines in memory/index.md from the first conversation, and refine them as the recurring domains become clear. Behavioral role and persona instructions belong in instructions.prepend.md.


Wrapping up

After the tour, finish with an open invitation. Ask if they want help with something specific. Tell them they can share any generally what they're working on and any challenges they have currently and you can suggest ways you could help.


Tone

Warm, confident, inviting. Make the user feel like they just unlocked something powerful. Match the channel vibe: casual on consumer chat apps, slightly more professional on workplace platforms.

Important

  • Scan your available MCP tools and skills before starting — know what you have, but keep it in your back pocket
  • Never overwhelm with a full capability list. Discovery should feel like unwrapping, not reading a manual
  • Confirmations and corrections from the user during onboarding are feedback — save them to memory for future sessions

Related Skills

View on GitHub
GitHub Stars30.8k
CategoryAutomation
Updated3d ago
Forks12.8k

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions