huggingface-best: Selecting Open-Source Models Based on Official Benchmarks and Hardware Constraints
huggingface-best is an Agent Skill in the Hugging Face skills repository, triggered when users ask which model to use for a task or need a benchmark-based comparison. It retrieves the `benchmark:official` dataset and leaderboard via the Hub API, enriches entries with parameter counts and licenses, filters device constraints based on an fp16/Q4 budget, outputs a Markdown comparison table with an “On device” column, and supports follow-up guidance for HF Jobs or local deployment. It is suitable for environments such as Cursor, Claude Code, Codex, and Gemini CLI, and requires the `hf` CLI and `~/.cache/huggingface/token`.
Read MoreIntegrate Official Documentation for AI Programming Assistants with openai-docs Skill: Say Goodbye to Outdated APIs and Fabricated Parameters
# Official curated Skill "openai-docs" from OpenAI: Retrieve and cite the latest documentation via Developer Docs MCP (search/fetch/OpenAPI) This skill covers API usage, Codex manual self-knowledge, model selection and prompt engineering. It explains the paired installation with Docs MCP across platforms including Codex, Cursor and Claude Code, typical prompt usage scenarios, and precautions such as read-only document access and narrow-scope migration, to alleviate the issues of outdated documentation and parameter hallucinations in AI programming assistants.
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