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Bags

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alsk1992
bags

Bags.fm - Complete Solana token launchpad with creator monetization

Overview

Publisheralsk1992
RepositoryCloddsBot
Skill namebags
Stars
2.8K
Forks
336
Bundled files
1
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 Bags 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/bags .claude/skills/bags
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bags 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 Bags 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 Bags 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.

Bags.fm - Complete API Coverage

Bags.fm is a Solana token launchpad and trading platform with creator monetization. Creators earn 1% of all trading volume on their tokens.

Trading

/bags quote <amount> <from> to <to>    Get swap quote
/bags swap <amount> <from> to <to>     Execute swap

Discovery

/bags pools                            List all Bags pools
/bags trending                         Show trending tokens by volume
/bags token <mint>                     Full token info (metadata, creators, fees, market data)
/bags creators <mint>                  Get token creators and fee shares
/bags lifetime-fees <mint>             Total fees collected for a token

Fee Claiming

/bags fees [wallet]                    Check claimable fees (all positions)
/bags claim [wallet]                   Claim all accumulated fees
/bags claim-events <mint> [--from X] [--to Y]  Get claim history with time filters
/bags stats <mint>                     Per-claimer statistics

Token Launch

/bags launch <name> <symbol> <desc> [options]  Launch new token
/bags launch-info                              Show launch requirements and fees

Launch Options:

  • --image <url> - Token image URL
  • --twitter <handle> - Twitter handle
  • --website <url> - Website URL
  • --telegram <url> - Telegram URL
  • --initial <SOL> - Initial buy amount in SOL

Fee Share Configuration

/bags fee-config <mint> <wallet:bps>...   Create fee distribution (bps must sum to 10000)

Examples:

/bags fee-config <mint> wallet1:5000 wallet2:5000   # 50/50 split
/bags fee-config <mint> wallet1:7000 wallet2:3000   # 70/30 split

Wallet Lookup (Social -> Wallet)

/bags wallet <provider> <username>        Lookup wallet by social handle
/bags wallets <provider> <user1,user2>    Bulk wallet lookup

Providers: twitter, github, kick, tiktok, instagram, onlyfans, solana, apple, google, email, moltbook

Partner System

/bags partner-config <mint>              Create partner key for referral fees
/bags partner-claim [wallet]             Claim accumulated partner fees
/bags partner-stats <partner-key>        View partner statistics

Examples

# Trading
/bags quote 1 SOL to USDC
/bags swap 0.5 SOL to BONK

# Discovery
/bags trending
/bags token ABC123...

# Launch a token
/bags launch "Moon Token" MOON "To the moon!" --twitter moontoken --initial 0.1

# Check and claim fees
/bags fees
/bags claim

# Set up 50/50 fee share
/bags fee-config <mint> wallet1:5000 wallet2:5000

# Lookup wallet by Twitter
/bags wallet twitter elonmusk

Configuration

bash
export BAGS_API_KEY="your-api-key"           # From dev.bags.fm
export SOLANA_PRIVATE_KEY="your-private-key" # For signing swaps/launches

API Reference

  • Base URL: https://public-api-v2.bags.fm/api/v1/
  • Auth: x-api-key header
  • Rate limit: 1000 requests/hour
  • Get your API key at dev.bags.fm

Features

  • Token launching with 1% creator fees
  • Up to 100 fee claimers per token (with automatic lookup tables)
  • Meteora DAMM v2 pool integration
  • Virtual pool and custom vault fee claiming
  • Partner referral system
  • Social wallet lookup (Twitter, GitHub, Kick, TikTok)
  • Jito bundle support for launches

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 Bags AI skill do?

Bags.fm - Complete Solana token launchpad with creator monetization

Why use Bags on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/bags. 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 Bags?

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 Bags?

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

Is the Bags 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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