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Found 48 Skills
Bengali (Bangla) text processing patterns including Unicode normalization, script detection, tokenization, conjunct handling, and Bangla-specific NLP best practices for AI applications.
Fetch transcripts from YouTube videos for summarization and analysis.
USE FOR spell correction. Returns corrected query if misspelled. Most search endpoints have spellcheck built-in; use this only for pre-search query cleanup or "Did you mean?" UI.
Text processing utilities: word count, line count, character encoding, text transformations, grep-like operations. No API key required.
Score text from -1 (strongly negative) to +1 (strongly positive) with a label, handling negation, intensifiers and emphasis. Called as POST /v1/text/sentiment, it takes text and returns score, label, matches, positiveTerms. A support-triage or review-monitoring agent must decide whether a message is a complaint before it routes or escalates it, and a model call for one number costs more than this and is not reproducible. Reading this schema and dry-running the call are free and need no wallet; a real call costs $0.004, paid in USDC on Base over x402.
Pulls DOIs, arXiv ids, PMIDs, PMCIDs and ISBNs out of free text, deduplicated and normalized, with the character offset of each first occurrence. Called as POST /v1/text/extract-citations, it takes text, kinds and returns count, citations, byKind. An agent handed a references section, an email or a PDF dump has to find the identifiers before it can look any of them up, and a model asked to do it by reading invents DOIs that resolve to nothing. The catalog already answers `crossref.doi-metadata` and `pubmed.citation-search`; neither could tell you what to ask them about. Reading this schema and dry-running the call are free and need no wallet; a real call costs $0.003, paid in USDC on Base over x402.
Редактирует русский ИИ-текст: убирает канцелярит, пустые зачины, рекламную накачку и обёртки чат-бота без изменения фактов и авторского голоса. Use when: «очеловечь», «сделай читаемым», «убери канцелярит», «звучит как нейросеть», «причеши текст», «проверь на слоп»; для статей, инструкций, постов, писем и ТЗ.
General performance optimization techniques for Motoko. Reducing allocations, efficient Text building, fixed-width arithmetic, block processing, async patterns, and more. Load when you need to improve hot paths or reduce overhead without changing behavior.
Intelligent long text novel reader with smart content filtering and detailed asset extraction. Invoke when user wants to read or analyze long novels. Automatically skips irrelevant content and extracts detailed character/item/scene information.
Analyze and transform text files using bash tools
Decode Zhuyin (Bopomofo) text typed with English keyboard keys into Chinese characters. ALWAYS try this skill when encountering unrecognized short letter/number sequences mixed with Chinese text that don't look like real English words or acronyms - e.g. "e04", "cl3", "su3", "cp3". Also use when user explicitly mentions 注音文, or asks what a cryptic alphanumeric fragment means in a Chinese context.
Strip the machine fingerprint out of any draft - em dashes, AI slop words, invisible watermark characters - and score it against a five-check detection panel before it goes out. Use whenever text needs to sound human, when the user says humanize, "does this sound like AI", "remove the em dashes", "de-slop this", "will this get flagged", or before any LinkedIn post, comment, reply or DM is shown to the user.