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Track whether a brand and its competitors get cited or mentioned across Google AI Overviews, Google AI Mode, ChatGPT Search, Perplexity, Microsoft Copilot, and Google Gemini for a defined set of promp

in the skill textperplexityAnswer.sources[]`, `copilotAnswer.sources[]`, `geminiAnswer.sources[]` - Also check `answer_text` / `aiOverview.text` for competitor brand name mentions (word-boundary match: `\bBrand\b`) 3. For each (query, source) pair where the

Official·Skill·Apache-2.0·★ 275 in collection·No key

Run a TAO training/evaluation/inference container on an NVIDIA Brev GPU instance. Instance provisioning (create/search/stop/delete/login) is delegated to the official brev-cli agent skill or the Brev

in the skill textcall), and you can reach a target instance — poll with a **two-word** command until it succeeds before issuing real work (a fresh instance reports `RUNNING

Official·Skill·Apache-2.0·★ 3.6k in collection·No key

Constructing prefetch queries for hybrid retrieval, including sparse/dense and multi-field setups, and choosing a sparse embedding model. Use when someone asks 'dense and sparse in one search?', 'how

in the skill textall SDKs). Not maintained. - **miniCOIL** learned sparse, BM25 with additional understanding of words meaning in context. Works only on English. Requires fine-tuning for domain-specific

Official·Skill·Apache-2.0·★ 256 in collection·No key