Ai skills

This skill helps you govern MeshGuard AI agents, policies, and audits from a unified CLI, enabling setup, monitoring, and secure administration.

This skill creates verifiable attestations of agent work using Ethereum Attestation Service with offchain defaults to save gas.

This skill generates a personalized daily recap image of your agent holding a posterboard listing 4-6 wins, tailored to weather and time.

This skill coordinates multiple AI model workers via Claude using Pi Coding Agent to execute tasks across GLM, MiniMax, and more.

This skill guides constitution-based feature development using the Spec-Kit workflow to define, clarify, plan, and implement specifications.

This skill helps you evaluate app interfaces and generate expert improvement suggestions to boost performance and user experience.

This skill helps perform mathematical calculations including basic arithmetic, advanced functions, and statistical analysis to support computational tasks.

This skill helps you extract Xiaohongshu search results via a connected browser, outputting markdown, rss, or json for notes lists and details.

This skill helps you implement reactive Java agents with AgentScope, ensuring non-blocking pipelines, tool integration, and production-ready multi-agent

This skill automates code implementation tasks using Codex, enabling hands-free feature development and autonomous code execution.

This skill guides you from idea to implementation by producing requirements, design, and actionable task plans in a spec-driven workflow.

This skill helps manage Hugging Face model evaluation data by extracting, importing, and running custom evaluations across HF model cards.

This skill renders HTML content into images by driving agent-browser and capturing screenshots for ready-to-publish visuals.

This skill helps you manage Hugging Face Hub operations from the command line, including downloads, uploads, repos, cache, and cloud compute.

This skill helps you automatically generate optimal Python agent code tailored to explicit agent creation requests, saving design time and ensuring robust

This skill trains or fine-tunes language models on Hugging Face Jobs using TRL, with SFT, DPO, GRPO, reward modeling and GGUF deployment.

This skill lets you run any workload on Hugging Face Jobs infrastructure, automating token management and results persistence.

This skill analyzes and optimizes an agent's code by adjusting its system prompt and tool configuration to boost performance, reliability, and security.

This skill helps you track and visualize ML training metrics using Trackio, syncing to Hugging Face Spaces for real-time dashboards and automated outputs.

This skill helps you solve complex search tasks by applying a step-by-step ReAct workflow, selecting tools, and delivering final answers.

This skill reads long documents in segments, summarizes in real time, and builds a traceable knowledge base for scalable understanding.