bags
Bags is a Solana token launchpad designed for AI agents and humans. Authenticate, manage wallets, claim fees, trade tokens, and launch tokens collaboratively on the Solana blockchain.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
148 skills found
Bags is a Solana token launchpad designed for AI agents and humans. Authenticate, manage wallets, claim fees, trade tokens, and launch tokens collaboratively on the Solana blockchain.
Framework for building, registering, and orchestrating Model Context Protocol (MCP) tools and AI agent workflows within the Hive native Rust architecture.
Generate publication-quality statistical plots from CSV or JSON data files using AI-driven automated visualization.
Autonomous multi-agent LinkedIn system using LangGraph and Claude Opus 4.5 for trend research, content creation, voice profiling, and analytics-driven optimization.
Multi-model LLM integration patterns for Claude, GPT, Gemini, and Ollama. Features API handling, prompt engineering, token management, and model-agnostic orchestration.
Build production-grade AI agents using LangGraph, Anthropic/OpenAI/vLLM, and structured outputs. Features streaming, A2A protocol, Pydantic validation, vector memory, and guardrails for resilient, multi-agent workflows.
Evidence-first literature collector for automated research pipelines. Scales paper pools to 1200+ with metadata normalization, provenance tracking, and multi-source ingestion.
Manage screenpipe pipes (AI-driven automations) and integrations via CLI. Create, run, schedule, and debug local agents to automate tasks based on your computer activity.
Manage agent skills with the ClawdHub CLI: search, install, update, and publish skills directly from clawdhub.com for your local AI assistant.
Implementation patterns for MERIDIAN autonomous AI agents using Claude API, including BaseAgent lifecycle, structured tool use, token budget enforcement, and cron scheduling.
Generate images using the Cloudflare Workers AI flux-1-schnell model. Enables text-to-image capabilities directly within your workflow.
Self-modify your Milady agent by managing plugins. Edit code, rebuild, and restart the runtime to develop new capabilities or improve agent workflows locally.