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Clanker

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alsk1992
clanker

Deploy ERC20 tokens with Uniswap V4 pools on Base, Ethereum, Arbitrum

Overview

Publisheralsk1992
RepositoryCloddsBot
Skill nameclanker
Stars
2.8K
Forks
336
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by alsk1992 on GitHub. Read the source before you install it.

Installation

Install the Clanker 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.
  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/alsk1992/CloddsBot.git /tmp/CloddsBot
mkdir -p .claude/skills
cp -r /tmp/CloddsBot/src/skills/bundled/clanker .claude/skills/clanker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clanker 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 Clanker 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 Clanker 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.

Clanker - Token Deployment

Deploy production-ready ERC20 tokens with built-in Uniswap V4 liquidity pools using the Clanker SDK.

Setup

bash
export PRIVATE_KEY=0x...your_private_key
export BASE_RPC_URL=https://mainnet.base.org  # Optional

Commands

Deployment

/clanker deploy <name> <symbol> [options]   Deploy new token
/clanker simulate <name> <symbol> [opts]    Simulate deployment (no tx)

Post-Deployment

/clanker claim-vault <token>                Claim vested tokens
/clanker claim-rewards <token>              Claim trading fee rewards
/clanker update-metadata <token> <json>     Update token metadata
/clanker update-image <token> <ipfs://...>  Update token image

Info

/clanker info <token>                       Get token info
/clanker rewards <token>                    Check available rewards
/clanker vault <token>                      Check vested tokens

Deploy Options

--image <ipfs://...>          Token image (IPFS)
--description "..."           Token description
--twitter <handle>            Twitter/X handle
--telegram <handle>           Telegram handle
--website <url>               Website URL
--vault <percent>             Vault percentage (vesting)
--vault-lockup <days>         Vault lockup period
--vault-vesting <days>        Vault vesting duration
--dev-buy <eth>               Initial purchase amount
--market-cap <eth>            Starting market cap
--vanity                      Generate vanity address
--chain <base|eth|arb>        Target chain (default: base)

Examples

Simple Token

/clanker deploy "My Token" TKN --image ipfs://Qm... --vanity

With Vesting

/clanker deploy "Creator Token" CTK \
  --vault 10 \
  --vault-lockup 30 \
  --vault-vesting 30

With Dev Buy

/clanker deploy "Launch Token" LTK \
  --dev-buy 0.1 \
  --market-cap 5

Full Config

/clanker deploy "Community Token" CMT \
  --image ipfs://Qm... \
  --description "Community-owned token" \
  --twitter mytoken \
  --website https://mytoken.xyz \
  --vault 10 \
  --vault-lockup 7 \
  --vault-vesting 30 \
  --vanity \
  --chain base

Supported Chains

ChainIDStatus
Base8453Full support
Ethereum1Full support
Arbitrum42161Full support

Token Configuration

  • Supply: 100 billion (fixed)
  • Max vault: 90% (min 10% to LP)
  • Max extensions: 10
  • Max reward recipients: 7

Fees & Protection

  • Default sniper protection: 66% → 4% over 15 seconds
  • Trading fees distributed to configured recipients
  • 80% creator / 20% interface split by default

Best Practices

  1. Test first - Use /clanker simulate before real deployment
  2. Quality images - Upload to IPFS before deploying
  3. Configure vesting - Lock tokens to build trust
  4. Use vanity - Memorable addresses help marketing
  5. Deploy on Base - Lower gas fees than mainnet

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Clanker AI skill do?

Deploy ERC20 tokens with Uniswap V4 pools on Base, Ethereum, Arbitrum

Why use Clanker on TypingMind?

Because you install it once and use it with any model. Clanker 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 Clanker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/clanker. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Clanker?

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 Clanker?

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

Is the Clanker AI skill free?

Yes. It is published on GitHub by alsk1992 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.

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