moonwell-contracts-v2
Automates Moonwell protocol governance proposal lifecycle, from creation and verification to deployment and testing.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
690 skills found
Automates Moonwell protocol governance proposal lifecycle, from creation and verification to deployment and testing.
Map the attack surface of smart contract codebases by identifying and categorizing state-changing entry points.
Transforms vague or poorly structured prompts into optimized, high-performance instructions using proven prompt engineering principles for better AI model execution.
Best practices and code patterns for ManimGL (3Blue1Brown's OpenGL animation engine). Provides templates, rules for 3D/interactive scenes, camera control, and LaTeX math visualization for technical creators.
Generate a structured academic paper outline from research narrative, experiment data, and review conclusions.
Reference for generating Apple Final Cut Pro FCPXML files, covering timeline structures, media assets, effects, and project automation for FCP 10.4+.
Automate non-interactive npm package installations by piping shell confirmations to bypass prompts.
BLS periodogram tool for detecting transiting exoplanets and eclipsing binaries in photometric light curves. An astropy-based implementation for period, duration, and depth analysis.
Jest testing patterns, factory functions, mocking strategies, and TDD workflow. Use when writing unit tests, creating test factories, or following TDD red-green-refactor cycle.
Expert technical support for the Litestream disaster recovery tool, covering WAL monitoring, LTX replication, cloud storage backends, and SQLite page management.
Orchestrate multi-agent swarms using agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Ideal for building distributed AI systems and scaling complex development workflows.
Build systematic evaluation frameworks for AI agents using multi-dimensional rubrics, LLM-as-a-judge, and regression testing to measure performance, quality, and context engineering effectiveness.