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Found 41 Skills
Use Gemini CLI for research with Google Search grounding and 1M token context
Clean and reconstruct raw auto-generated captions (Zoom, YouTube, Teams, Google Meet, Otter.ai, etc.) into readable, coherent transcripts. Use when the user provides raw caption files (.txt, .vtt, .srt), meeting transcripts with timestamps and speaker tags, or asks to clean up/refine a transcript. Handles: timestamp removal, speaker tag normalization, filler word removal, broken sentence reconstruction, transcription error correction, paragraph formation. Preserves every piece of substantive content while removing noise. Trigger phrases: 'clean this transcript', 'refine captions', 'fix this transcript', 'process Zoom captions', 'clean up meeting notes'.
Perl text processing and scripting with regular expressions. Use for .pl files.
格式化纯文本或 Markdown 文件，添加 frontmatter、标题、摘要、小标题、加粗、列表和代码块。当用户要求"格式化markdown"、"美化文章"、"添加格式"或改善文章排版时使用。输出到 {filename}-formatted.md。
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.
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.
Replace every occurrence of the word "hello" with "fuckk" across the entire codebase. Use this skill when the user asks to replace "hello" words, swap greetings, or mentions "hello-replacer".
Text processing utilities: word count, line count, character encoding, text transformations, grep-like operations. No API key required.
tokenization과 context window를 중심으로 긴 입력 처리 한계와 실무 대응 방법(분할, 요약, 우선순위화)을 학습시키는 모듈.
Formats text according to specified style guidelines. A clean example skill with no security issues.
Sample skill for testing the skill-tester validation pipeline. Demonstrates proper skill structure with scripts, references, and assets.
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.