Query and compare AI model specifications from models.dev.
npx skills add https://github.com/Fenghaze/my-skill --skill models-dev
Please help me install this Agent Skill. Skill: models-dev Source: https://github.com/Fenghaze/my-skill/tree/main/models-dev Command: npx skills add https://github.com/Fenghaze/my-skill --skill models-dev
This Skill provides fast querying and comparison of AI big model specifications and capabilities from models.dev, enabling informed model selection and comparisons without manual data digging.
Ask it to compare two models, e.g., 'gpt-4o' and 'claude-2', to compare context windows and multimodal support.
High-intent search queries and answers about installing and using this skill.
To compare AI model specifications across providers, query models.dev data to evaluate context length, token limits, supported modalities, and inference capabilities side-by-side without manual data digging.
Filtering large language models by multimodal support and open weights involves applying smart filtering criteria to model datasets, isolating models that match specific reasoning, tool_call, and modality requirements.
Checking if an AI model supports multimodal inputs and tool calls requires querying the model's specifications to verify its supported modalities and inference capabilities before integration.
Limitations of using models.dev data for evaluating AI model capabilities include reliance on the API's provided specifications for context length and modalities, which may not reflect real-time runtime performance or actual inference latency.
omar-A-hassanRetrieves protein structure entries and metadata from the RCSB PDB via APIs.
seldoManage Arize experiments with CRUD operations and result comparison.
brendadeeznuts1111Run AI models like LLMs and image generation within Cloudflare Workers.
kk20300113-pngExecute identical prompts across Claude, GPT, and Gemini to compare latency, token consumption, and cost.
