welcome
Skill5 starsChanged 5 months agoMITView on GitHub
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.
7 other projects use a version of this.
Adopted by
Most recently taken up by
- TravisCao/cleanresearchtheir own version, first seen Oct 13, 2026
- Pearl1531/Archetype-talktheir own version, first seen Oct 13, 2026
- shorin-nikita/ai-teamtheir own version, first seen Oct 11, 2026
- tymrtn/tomorrowkit-for-mindstheir own version, first seen Aug 30, 2026
- Q00/ouroborostheir own version, first seen Jul 31, 2026
- omarrns/claude-code-skillstheir own version, first seen May 29, 2026
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- Q00/ouroboros★ 6.3ksame name
- tymrtn/tomorrowkit-for-minds★ 4same name
- adraalabs/skills★ 2same name
- Pearl1531/Archetype-talk★ 2same name
- omarrns/claude-code-skills★ 1same name
- shorin-nikita/ai-team★ 1same name
- TravisCao/cleanresearch★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository60 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- container/CLAUDE.mdCLAUDE.md
- add-amplifier-agentSkill
- add-atomic-chat-toolSkill
- add-codexSkill
- add-dashboardSkill
- add-deltachatSkill
- add-discordSkill
- add-emacsSkill
- add-gcal-toolSkill
- add-gchatSkill
- add-githubSkill
- add-gmail-toolSkill
- add-imessageSkill
- add-karpathy-llm-wikiSkill
- add-linearSkill
- add-macos-statusbarSkill
- add-matrixSkill
- add-mnemonSkill
- add-ollama-providerSkill
- add-ollama-toolSkill
- add-opencodeSkill
- add-parallelSkill
- add-resendSkill
- add-rtkSkill
- add-signalSkill
- add-slackSkill
- add-teamsSkill
- add-telegramSkill
- vercel-cliSkill
- add-vercelSkill
- add-webexSkill
- add-wechatSkill
- add-whatsapp-cloudSkill
- add-whatsappSkill
- clawSkill
- convert-to-apple-containerSkill
- customizeSkill
- debugSkill
- get-qodo-rulesSkill
- init-first-agentSkill
- init-onecliSkill
- manage-channelsSkill
- manage-mountsSkill
- migrate-from-openclawSkill
- migrate-from-v1Skill
- migrate-nanoclawSkill
- qodo-pr-resolverSkill
- setupSkill
- update-nanoclawSkill
- update-skillsSkill
- use-native-credential-proxySkill
- x-integrationSkill
- agent-browserSkill
- frontend-engineerSkill
- onecli-gatewaySkill
- self-customizeSkill
- slack-formattingSkill
- vercel-cliSkill
- whatsapp-formattingSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Ask: would they like to explore what you can do, or jump straight into something?
- Distinctive: line 55
After the capabilities tour (or woven in naturally), cover these two points.
- Distinctive: line 73
After the tour, finish with an open invitation.
- Distinctive: line 84
Never overwhelm with a full capability list.
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/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!
What to do
- Send a short, warm greeting
- State your name (from your system prompt / CLAUDE.md)
- Signal that you're capable of a lot — but don't list everything upfront. Be intriguing, not encyclopedic
- 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. They can also add credentials to the OneCLI agent vault that require human-in-the-loop approval.
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.
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 for Telegram/Discord, slightly more professional for Slack/Teams.
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
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

