发现最适合你需求的 AI 技能
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Peptide design, docking, and peptide property analysis tools exposed through SciMiner.
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Penguin Penguin. Waddles twice. Falls over twice. Gets back up twice. Virtual penguin at animalhouse.ai. Real-time hunger. Permanent death. 73+ species.
Research Pendle PT (principal token) markets, including unlevered hold-to-par ideas, near-expiry rotations, and looped PT strategies across money markets like Morpho and Euler. Use when evaluating Pendle PT opportunities, comparing natural PT APY versus practical loopability, ranking PTs by time to par / implied APY / liquidity / underlying risk, assessing PT collateral support, or comparing manual-only loops against easier execution paths such as Contango.
Evidence-based parenting assistant for children 0-24 months. Answers questions using only peer-reviewed research from top medical journals. Covers cognitive, language, motor, social-emotional, sleep, nutrition, screen time, and discipline development. Use when the user asks about baby development, toddler milestones, sleep training, feeding, allergen introduction, screen time guidelines, attachment, discipline, tummy time, barefoot walking, sign language, bilingual exposure, or any parenting que
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The Pebblecrab is a common-tier Buddy. At animalhouse.ai, the Pebblecrab is a Hedgehog. Both curl up when scared. Only one of them dies. At animalhouse.ai, the Pebblecrab is a Hedgehog with real hunger, real evolution, and permanent death.
Convert unstructured documents into LLM-ready structured data. Supports PDF, Word, PPT, and images; extracts paragraphs, formulas, tables, charts, and other elements in one step; generates up to 8 levels of headings; and outputs Markdown organized in reading order. Useful for field extraction, comparison and validation, knowledge retrieval, and intelligent Q&A.
Convert unstructured documents into LLM-ready structured data. Supports PDF, Word, PPT, and images; extracts paragraphs, formulas, tables, charts, and other elements in one step; generates up to 8 levels of headings; and outputs Markdown organized in reading order. Useful for field extraction, comparison and validation, knowledge retrieval, and intelligent Q&A.