This skill validates changes before submitting a pull request by running lint, tests, alignment review, and RFC checks.

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

This skill helps researchers publish, link, and manage papers on Hugging Face Hub with automated templates and arXiv integration.

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

This skill reviews code changes for alignment with OpenEnv principles and RFCs, accelerating safe PR reviews and consistent design.

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 helps you build reusable Python scripts that chain Hugging Face API calls for data fetch, enrichment, and automation.

This skill automates posting Xiaohongshu image notes by navigating creator center, uploading images, filling title and content, and publishing.

This skill helps you design and style UI components across the four OS themes, ensuring consistent retro aesthetics and theme-aware behavior.

This skill helps you make tests pass by applying minimal code fixes to address failing tests after a write-tests run.

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 enables targeted X (Twitter) data collection via a connected browser, filtering by user or keywords and exporting Markdown, RSS, or JSON.

This skill helps you create, configure, and query Hugging Face datasets with SQL, templates, and streamlined uploads.

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 helps you determine whether proposed changes require an RFC by analyzing changed files and API impact.

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 refactors Python code after tests pass, improving readability, maintainability, and consistency without changing behavior.