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Found 48 Skills
Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.
Read a book, article, transcript, or case study through the lens of a specific strategic problem you're facing. Produces an applied playbook that maps the source onto the problem and gives short/medium/long-term recommendations. NOT for general book summaries.
Read and understand novel texts, and summarize them into smooth story outlines. Suitable for initial novel screening and generating 500-800 word story outlines
Convert a text-based document to markdown following instructions from prompt, or if a documented option is passed, follow the instructions for that option.
Use when user requests Chinese terminology conversion, checking, or ensuring terminology - "使用繁體中文", "使用台灣用語", "轉換成台灣用語", "確保都是台灣用語", "統一台灣用語", "改成台灣用語", "用台灣的說法", "簡體轉繁體", "繁體轉簡體", "全部改成繁體", "轉成台灣繁體", check/ensure Taiwan/Hong Kong/China terminology, simplified/traditional conversion, or phonetic transcription (Pinyin/Bopomofo)
Extract structured data from clinical notes with span-level provenance and null-safety. Use when users say "extract [variables] from this note", "abstract this chart", "pull structured data from these notes", "what does this note say about [field]", or when building a chart-abstraction, registry, or cohort dataset from unstructured clinical text.
Extract and parse article content from web sources. Retrieves text, metadata, and structured information from articles while preserving formatting and context.
Expert guidance for natural language processing development using transformers, spaCy, NLTK, and modern NLP techniques.
Sample skill for testing the skill-tester validation pipeline. Demonstrates proper skill structure with scripts, references, and assets.
Refine speech transcription texts (interviews, speeches, podcasts, meetings) into more readable article paragraphs. Trigger this skill when users mention terms like "subtitle refinement", "transcript polish", "subtitle polishing", "organize video subtitles into articles", "interview text organization", processing interview records, transcription text optimization, speech-to-text organization, or when they need to organize long dialogue/speech texts into readable articles. It is suitable for organizing transcription texts of solo speeches or multi-person conversations, requiring the retention of original sentences and words, and rejecting high-level generalization. This skill should also be triggered even if users only say "help me organize this text" and attach obviously colloquial text.
Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization.
Rewrite specified documents to remove AI-generated traces. Automatically select the most suitable humanization strategy (humanizer-zh / humanize-chinese / technical-writing), and iterate rewriting until the result meets the standard or reaches a maximum of 42 iterations. Suitable for de-AI processing of Chinese texts, including general articles, technical documents, academic papers, etc. Use when user says: "humanize this", "去AI味", "降AIGC", "人性化改写", "改成人话", "去除AI痕迹", "humanize document", "make text human-like", "去机器味", "降低AI率", "过AIGC检测"