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Found 211 Skills
Use this when the user explicitly requests to "write/polish NSFC grant abstract", "generate Chinese and English abstracts", or "translate Chinese abstract to English abstract". Output both Chinese and English versions: The English version must be a faithful translation of the Chinese version (no additional information, no omission of key constraints). The default limit for Chinese abstract is ≤400 characters (including punctuation), and ≤4000 characters for English abstract (including punctuation); the final limit shall prevail as specified in `skills/nsfc-abstract/config.yaml:limits`. Also output **title suggestions**: By default, provide 1 recommended title + 5 candidate titles with justifications (the quantity shall follow `config.yaml:title.title_candidates_default`). Output method: Write the results to `NSFC-ABSTRACTS.md` in the **working directory** (the file name shall follow `config.yaml:output.filename`), which includes in order `# Title Suggestions`, Chinese abstract, English abstract, and length self-check. ⚠️ Not applicable in the following cases: - The user only wants to translate a general text unrelated to grant proposals (direct translation is required instead) - The user only wants to write the main body of project justification/research content/research foundation (use the corresponding NSFC series skill instead)
Remove AI-generated traces from Chinese text. Designed for unique problems in Chinese AI writing: Era opening phrases, overuse of conjunctions, internet jargon, translationese, overly formal written language, formulaic structures, closing clichés, infiltration of mainland Chinese expressions. Make the text more natural, human-like, and sound like it was written by a Taiwanese person.
Omniscient APEX Ecosystem development skill. Triggers: apex code, omnihub development, tradeline build, aspiral feature, apex bug, fix apex, apex architecture, omnidash component, triforce guardian, man mode, apex security, apex test, armageddon test, apex deploy, apex optimize, semantic translation, web2 web3 bridge. Produces: zero-drift, first-pass success code for APEX OmniHub, TradeLine 24/7, aSpiral, and all connected applications. Compatible with all LLMs.
Develop high-performance C/C++ plugins for Stata using the stplugin.h SDK. Use when the user asks to create a Stata plugin, write C/C++ code for Stata, accelerate a Stata command with C, build cross-platform Stata plugins, or translate/port a Python or R package into Stata. Covers the full lifecycle: SDK setup, data flow, memory safety, .ado wrappers with preserve/merge, cross-platform compilation, performance optimization (pthreads, pre-sorted indices, XorShift RNG), debugging, and distribution via net install. Also includes a translation workflow for porting Python/R packages to Stata — wrapping existing C++ backends when available, or writing C from scratch when not.
Odoo frontend JavaScript patterns for website themes. Covers publicWidget framework (complete pattern with editableMode handling), Owl v1/v2 component patterns, _t() translation best practices, Bootstrap 4-to-5 migration, version detection, and critical development rules. Supports Odoo 14-19. <example> Context: User wants to create a publicWidget user: "Create a publicWidget for my Odoo website" assistant: "I will create a publicWidget with editableMode handling and proper cleanup." <commentary>publicWidget creation.</commentary> </example> <example> Context: User asks about Owl components user: "How do I create an Owl component in Odoo 18?" assistant: "I will show the Owl v2 pattern with static template and props." <commentary>Owl component pattern.</commentary> </example> <example> Context: User needs help with translations user: "How do I translate JavaScript strings in Odoo?" assistant: "Use _t() at DEFINITION TIME for static labels, not runtime wrappers." <commentary>Translation best practices.</commentary> </example> <example> Context: User migrating Bootstrap classes user: "Convert Bootstrap 4 classes to Bootstrap 5 for Odoo 17" assistant: "Replace ml-* with ms-*, mr-* with me-*, text-left with text-start." <commentary>Bootstrap migration.</commentary> </example>
Amazon OpenSearch Service and Serverless across five capabilities — migration (Solr/ES/self-managed OpenSearch into AOS/AOSS, schema/query translation, sizing, cutover); provisioning (domain + AOSS lifecycle, upgrades, storage tiers, FGAC, monitoring); search (vector / semantic / hybrid / RAG with Bedrock connectors); log-analytics (PPL, OSI ingestion, anomaly detection, OpenSearch Dashboards, Splunk/Datadog alternatives); trace-analytics (OTel spans, service maps, Data Prepper). Triggers on OpenSearch, AOS, AOSS, Elasticsearch, ELK, Solr, Lucene, vector / k-NN / semantic / hybrid / neural search, RAG, ELSER, log analytics, observability, Kibana, OSI, OCU, PPL, trace analytics, BM25, eDisMax, schema.xml, ILM, ISM, FAISS, HNSW, Migration Assistant for Amazon OpenSearch Service, Historical Data Migration, Live Traffic Migration, UltraWarm, OR1, Splunk/Datadog alternative, moving off Solr. Picks ONE capability per ask, names instance class + count + shard math, ships query DSL examples.
Unified intelligent query interface for the CDM DuckDB database. Use this skill when the user wants to query the linkml-coral CDM database. Automatically chooses between fast SQL translation and schema-aware intelligent queries based on complexity. Supports natural language questions, schema exploration, and data analysis.
Typst Academic Paper Assistant (supports Chinese and English papers, conference/journal submissions). Domains: Deep Learning, Time Series, Industrial Control, Computer Science. Trigger Words (any module can be called independently): - "compile", "compile", "typst compile" → Compilation Module - "format", "format check", "lint" → Format Check Module - "grammar", "grammar", "proofread", "polish" → Grammar Analysis Module - "long sentence", "long sentence", "simplify", "decompose" → Complex Sentence Analysis Module - "academic tone", "academic expression", "improve writing" → Academic Expression Module - "logic", "coherence", "logic", "cohesion", "methodology", "methodology" → Logical Cohesion & Methodology Depth Module - "translate", "translate", "Chinese to English" → Translation Module - "bib", "bibliography", "bibliography" → Bibliography Module - "deai", "de-AI", "humanize", "reduce AI traces" → De-AI Editing Module - "title", "title", "title optimization", "create title" → Title Optimization Module - "template", "template", "IEEE", "ACM" → Template Configuration Module
Internationalization (i18n) and localization (l10n) testing for global products including translations, locale formats, RTL languages, and cultural appropriateness. Use when launching in new markets or building multi-language products.
Personal English vocabulary learning assistant. Use when user queries English words, phrases, or sentences for translation and learning. Triggers on: single English words, phrases like 'break the ice', sentences to translate, requests for quiz/review, '查单词', '学英语'. Stores vocabulary in ~/.english-learner/ with mastery tracking.
High-quality article translation skill, adopting a four-step professional translation workflow: **Analysis → Initial Translation → Review → Final Draft**. Only supports Chinese ↔ English, Chinese ↔ Japanese translation. Triggered when users explicitly request translation using terms such as "翻译", "translate", "精翻", "翻訳", "翻译文章", "translate to Chinese/English/Japanese", "改成中文", "改成英文", "改成日文", "翻成中文", "翻成日文", "翻成英文", "英译中", "中译英", "中译日", "日译中", "日本語に翻訳", "中国語に翻訳", "英語に翻訳", "これを翻訳して", "put this in Chinese", "put this in English", "put this in Japanese", "convert to Chinese", "convert to English", "convert to Japanese", "帮我翻一下", "本地化", "localize", "这篇文章翻译一下", or provide a URL/file/text body and explicitly request a final draft in the target language. Not applicable to requests for only summarization, explanation, comprehension, or organization. If the input is a URL, prioritize using `curl -L` to request `r.jina.ai` to fetch the body content in Markdown; if fetching fails or the content is incomplete, you must stop immediately and ask the user to provide the full text themselves.
Alibaba Cloud IMS (Intelligent Media Services) based video translation Skill. Supports subtitle extraction (ASR/OCR), translation, and speech synthesis translation modes. Trigger words: "视频翻译", "translate video", "翻译视频", "字幕翻译", "video translation"