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Prepare text for language models using HuggingFace Tokenizers, which splits text into model-readable units. Train custom vocabularies, process batches, track original text positions, and configure input lengths for use with transformers.
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Learn how GPT language models work by preparing text, training a small model, and generating samples. Covers CPU experiments, custom datasets, further training of pretrained GPT-2 models, and reproducing GPT-2 with multiple GPUs.
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Route codebase exploration, file analysis, and web research through context-mode tools in Antigravity CLI. Process large outputs outside the conversation and return focused findings, with indexed content available for later searches.
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Turn text into embeddings, numeric representations of meaning, through 9Router. Choose a model and process individual texts or batches to prepare data for meaning-based search, similarity comparisons, or RAG systems that retrieve reference material.
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Convert attached office documents, EPUB, CSV, and text-based PDFs into local Markdown using Firecrawl AnyDoc CLI. Files stay inside the agent container, producing readable text for review without uploading documents to an external parsing service.
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Update cmux interface text across supported languages and audit the results. The workflow identifies changed messages, prepares translation entries, and checks for missing translations, plural forms, and placeholders that insert values into text.
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Turn text into audio files for narration, product demos, phone prompts, or accessibility reads using the OpenAI Audio API. Choose built-in voices and delivery directions, then generate a single clip or a batch of files.
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Read, create, and edit text files on the computer running the connected A0 CLI. The skill guides focused replacements and context-based patches, checking current file contents and handling read-only access or outdated edits.
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Plan how an AI agent uses limited input space through reusable prompt prefixes, shorter tool outputs, summaries, and task splitting. Measure token use, response quality, and latency to choose optimizations that provide a net benefit.
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Add business knowledge missing from a Wren project's database definitions. Compare source documents with existing context, then add explanations, rules, SQL examples, and proposed metrics through guided questions or an automatic mode with an audit report.
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Build and review GSAP effects for text, SVG graphics, scrolling, dragging, and layout changes. The skill explains which plugins, or extensions, fit each task, how to register them, and how to configure and clean them up.
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Guides image classification and search with OpenAI's CLIP by comparing images with text descriptions, without additional training. Includes batch processing, image-text matching, and category-based checks for potentially inappropriate images.
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Learn how GPT language models work by preparing text, training a small model, and generating samples. Covers CPU experiments, custom datasets, further training of pretrained GPT-2 models, and reproducing GPT-2 with multiple GPUs.
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Check the `.planning/` directory for missing files, invalid settings, inconsistent state, and orphaned plans. Report issues to address, optionally request repairs, or check context usage—the share of the session’s text capacity already used.
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Extract text from images and PDFs, including handwriting, tables, invoices, and receipts. Return plain text, Markdown tables, or structured JSON fields, with options to select a recognition provider and specific PDF pages.
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Check PDF page counts, document details, and required text using command-line tools. This skill provides a verification workflow for environments without Python PDF libraries, including text extraction from selected pages and searches for expected sections.
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Extract text from existing PDFs and assemble it into a new PDF report using command-line tools. Choose an available conversion method, combine source content, and check the resulting file’s pages and included text.
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Extract text from PDFs when the first reading attempt fails or produces poor results. The skill tries command-line tools, Python libraries, then OCR, which recognizes text in images, while checking output quality and recording successful methods.
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Extract text from difficult PDFs by trying several libraries and command-line tools in sequence, then using OCR, which reads text from images. Record failed attempts and check that extracted content meets the task requirements.
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Download PDFs or process local files, extract their text, and turn processed data into structured PDF reports with ReportLab. Includes alternative extraction methods and text output when PDF generation fails.
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Extract text from Word DOCX files and save it as plain text. The skill checks available tools, tries shell utilities, and falls back to Python’s standard library when needed.
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Extract text from Word DOCX files with unzip and sed, command-line utilities, when Python document libraries are unavailable. Read the document’s main text, remove XML tags, clean whitespace, and save the extracted content.
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Diagnose why an AI workflow becomes inconsistent despite receiving extensive information. Through guided questions, define what to retain, retrieve when needed, or exclude, and develop a memory structure and a research-to-implementation process with focused context.
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Gather business context before analysis by checking connected or provided sources for metric definitions, recent changes, and decision background. Produce a focused context note that preserves source references, conflicting evidence, assumptions, and remaining gaps.
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