fx-sdk-agent
TypeScript SDK agent for FX Protocol: manage leveraged positions, perform cross-chain bridges between Base and Ethereum, and interact with fxSAVE yield-bearing stablecoin features.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
617 skills found
TypeScript SDK agent for FX Protocol: manage leveraged positions, perform cross-chain bridges between Base and Ethereum, and interact with fxSAVE yield-bearing stablecoin features.
Security advisory monitoring for NanoClaw WhatsApp bots, providing vulnerability scanning, skill safety checks, and integrity protection through MCP tools.
Kills stale claude-mem worker and MCP server processes to recover RAM and improve performance in memory-constrained environments like GitHub Codespaces.
Generate and edit images using the Gemini API via the nanaban CLI. Create illustrations, logos, and icons, or perform photo edits like background removal and style transfer.
IDAPython scripting and IDA Pro API automation for advanced reverse engineering, binary analysis, decompilation, and database manipulation.
Generates UI components, hero sections, and feedback forms with integrated accessibility checks, leveraging specialized design references and quality gates.
Lints, validates, and auto-fixes AI agent configuration files like SKILL.md, CLAUDE.md, and MCP configs.
Statistical visualization library for Python. Create publication-quality graphics like box plots, heatmaps, and violin plots with pandas integration and automatic statistical estimation.
Automates the lifecycle management of ephemeral Neon PostgreSQL databases for testing, CI/CD, and rapid prototyping workflows.
Definitive guide for managing time in OpenClaw. Schedule reliable reminders and recurring system maintenance tasks using Cron vs Heartbeat.
Search codebases efficiently using ripgrep for lightning-fast text patterns and ast-grep for precise, syntax-aware structural code analysis.
Aggressively prune grammatical scaffolding and filler text from inputs to optimize LLM token usage while retaining core semantic content.