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.
275 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.
Update text within fillable PDF forms programmatically. Efficiently modify names, dates, addresses, and reference numbers in form fields while preserving document structure.
Execute implementation plans in small, verifiable batches with pause-for-feedback checkpoints to prevent drift and ensure code quality.
An automated meta-learning skill that improves agent workflows by capturing patterns, failures, and shortcuts after each task execution.
Build AI agents with the OpenAI Agents SDK for Python. Supports multi-agent handoffs, function tools, stateful sessions, streaming, and Azure OpenAI integration via LiteLLM.
Create, register, and manage custom agent tools and MCP servers to extend AI agent capabilities with external APIs and custom logic.
Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.
Create and manage Claude Code skills using Anthropic best practices: triggers, hooks, and progressive disclosure.
Automated GitHub Pull Request creation with task validation, test execution, Conventional Commits formatting, and project-aware label suggestions.
A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.
Rigorous research skill that enforces source verification via WebFetch and content analysis to prevent hallucinated citations.
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.