Awesome-Agent-Skills

Guides agents through safe Hermes Tweet X/Twitter plugin setup, read workflows, and explicit action gating. Use when installing Hermes Tweet, checking its Hermes Agent integration, or choosing read versus action tools.

General-purpose LinkedIn automation – fetch profiles, search people and companies, send messages, manage connections, create posts, and more. Use when the user wants to interact with LinkedIn.

Guides agents through safe Xquik public X data workflows using documented API, MCP, monitor, and webhook surfaces. Use when a task needs X/Twitter tweet, user, trend, list, community, article, monitor, or webhook data through Xquik.

Reconstructs the workflow behind a shipped artifact from ax session evidence, commits, and PR context. Use when asking what made a feature, fix, demo, or PR work, or when turning a past success into a repeatable recipe.

Building rigorous LLM evaluation pipelines. Use when developing AI features to ensure quality and prevent regressions across different model versions.

Implementing and connecting Model Context Protocol (MCP) tools. Use when you need to extend an agent's capabilities with external data sources or execution environments.

Discovers and invokes Awesome AI Skills. Use when starting a session or when you need to discover which skill applies to the current task. This is the meta-skill that governs how all other skills are discovered and invoked.