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18 indexed skills · max 10 per page
text-optimizer
kochetkov-ma/claude-brewcode · Productivity
Reduces token count in prompts and docs by 20–40% using 41 research-backed optimization rules. \n \n Applies rules across six categories: Claude behavior, token efficiency, structure, reference integrity, perception, and LLM comprehension \n Three optimization modes: light (text cleanup only), medium (balanced restructuring, default), and deep (aggressive compression and rephrasing) \n Processes single files or entire directories of markdown files, with built-in quality checks for reference vali
narrative-text-visualization
antvis/chart-visualization-skills · Productivity
This skill provides a workflow for transforming data into structured narrative text visualizations using T8 Syntax - a declarative Markdown-like language for creating data narratives with semantic entity annotations.
speech-to-text
martinholovsky/claude-skills-generator · Productivity
File Organization: Split structure. See references/ for detailed implementations.
paddleocr-text-recognition
paddlepaddle/paddleocr · Productivity
Invoke this skill in the following situations:
text-to-image-prompt-optimizer
manzxiao/text-to-image-prompt-optimizer · Productivity
Generate professional, optimized prompts for AI image generation tools with primary support for Google Gemini (Nano Banana), plus Midjourney, Stable Diffusion, DALL-E, Leonardo.ai, and others.
speech-to-text
inference-sh/skills · Productivity
Transcribe audio to text via inference.sh CLI.
extracting-pdf-text
letta-ai/skills · Documents
This skill provides tools and guidance for extracting text from PDFs in formats suitable for language model consumption.
alicloud-ai-text-document-mind
cinience/alicloud-skills · Cloud
Category: provider
text-summarizer
dkyazzentwatwa/chatgpt-skills · Productivity
Extractive summarization from long documents with flexible length control and batch processing. \n \n Supports three algorithms (TextRank, LSA, frequency-based) with configurable language support \n Control summary length by ratio, sentence count, or word count; optionally preserve original sentence order \n Extract key points as bullet-point summaries alongside full-text summaries \n Batch process multiple documents or entire directories with consistent parameters \n Available as Python API or
text-to-speech
heygen-com/skills · Productivity
Generate speech audio from text using HeyGen's Starfish TTS model with voice, speed, and pitch control. \n \n List available TTS voices by language and gender, then generate audio files with customizable speed (0.5–1.5) and pitch (−50 to 50) \n Supports multilingual voices with locale selection (e.g., pt-BR ) and SSML-style break tags for pauses within text \n Returns audio URL, duration, request ID, and word-level timestamps for caption syncing or timed overlays \n Requires HEYGEN_API_KEY envir