Search Tenor GIFs via v2 API with curl and jq.
npx skills add https://github.com/devMoez/titan --skill gif-search-devmoez
Please help me install this Agent Skill. Skill: gif-search Source: https://github.com/devMoez/titan/tree/main/skills/media/gif-search Command: npx skills add https://github.com/devMoez/titan --skill gif-search-devmoez
It eliminates the time-consuming manual searching and copying of GIF URLs by letting you query Tenor and directly retrieve usable GIF or video links.
gif, tinygif, mp4, tinymp4, webm, and nanogif URLs depending on what you want to send or embed.Use the gif-search skill to search Tenor for a reaction and return the best matching GIF URLs using your Tenor API key from the TENOR_API_KEY environment variable.
High-intent search queries and answers about installing and using this skill.
To search Tenor for reaction GIFs, you query the Tenor v2 search endpoint by keyword using curl and parse the returned media links with jq. This retrieves usable gif, tinygif, mp4, or webm URLs for messaging and content workflows.
Tenor API search results return multiple media formats including gif, tinygif, mp4, tinymp4, webm, and nanogif URLs. You can parse these format options with jq to select the best quality or size for your embedding needs.
Yes, you need a Tenor API key stored in the TENOR_API_KEY environment variable to authenticate requests to the Tenor v2 search endpoint. This key is required to authorize curl queries and retrieve GIF or video links.
Yes, Tenor API search returns title metadata, preview URLs, and media dimensions alongside the direct GIF links. You can extract these metadata fields using jq to preview and evaluate reaction GIFs before downloading full quality files.
The best way to automate reaction GIF retrieval at scale is to script curl calls to the Tenor v2 search endpoint and parse the JSON output with jq. This extracts multiple gif, tinygif, or mp4 URLs efficiently for automated messaging responses.
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