64 boosters for "extract" — open source, verified from GitHub, ready to install
A PDF processing skill that enables users to read, extract, merge, split, and manipulate PDF files through an AI coding assistant. Developers and business users benefit from automated PDF workflows without writing complex code.
The docx skill enables AI assistants to create, read, edit, and manipulate Word documents with professional formatting, tables of contents, images, and tracked changes. It's useful for developers and users who need to programmatically generate or process .docx files as part of their workflows.
This skill enables AI assistants to intelligently handle PowerPoint files by triggering whenever .pptx files are involved—whether creating presentations, extracting content, editing slides, or working with templates. It's valuable for developers and users who need seamless automation around presentation workflows.
The Data Consolidation Agent transforms raw sales data into live reporting dashboards with territory, rep, and pipeline summaries, enabling sales leaders and analysts to make data-driven decisions quickly.
An AI agent that automatically monitors and extracts key sales metrics (MTD, YTD, Year End) from Excel files for real-time internal reporting. Ideal for sales teams and business analysts who need automated data pipeline extraction without manual spreadsheet parsing.
Feedback Synthesizer is an agent that collects and analyzes user feedback from multiple channels to extract actionable product insights and prioritization recommendations. Product managers, designers, and engineering teams benefit from converting qualitative feedback into data-driven strategic decisions.
A PDF skill that guides AI assistants in reading, creating, and validating PDF files using Python tools like reportlab, pdfplumber, and Poppler rendering. Developers working with PDF generation, extraction, and layout validation will find this particularly useful.
Transcribe audio and video files to text with optional speaker identification and diarization. Useful for developers building transcription features, interview processing tools, or meeting documentation systems.
Automates real browser interactions from the terminal using Playwright CLI for tasks like navigation, form filling, and data extraction. Useful for developers and AI assistants building UI automation workflows without writing test frameworks.
Extract helps developers systematically identify and consolidate reusable components, design tokens, and UI patterns into a centralized design system. This booster benefits design system maintainers and teams building consistent, scalable component libraries.
This skill automates the process of adding, extracting, and managing evaluation results in Hugging Face model cards, supporting multiple data sources including Artificial Analysis API and custom evaluations with vLLM/lighteval. It's valuable for ML practitioners and model maintainers who need to track and display model performance metrics.
Automates GitHub pull request analysis by gathering diffs, comments, related issues, and local code context to provide comprehensive reviews. Developers and code reviewers benefit from faster, more thorough PR evaluations.
Extract non-obvious discoveries into reusable skills that persist across sessions. Invoke when you encounter: Before creating a skill, answer these questions:
The html-to-markdown library provides comprehensive, single-pass metadata extraction during HTML-to-Markdown conversion. This enables content analysis, SEO optimization, document indexing, and structured data processing without extra parsing passes. Metadata extraction uses the same pattern as inli
Browse once, cache the APIs, reuse them instantly. First call discovers and learns the site's APIs (~20-80s). Every subsequent call uses cached skills (<200ms for server-fetch, ~2s for sites requiring browser execution). When the task touches docs, install guidance, eval claims, landing-page copy, r
Given a URL, return its main content as clean Markdown — headings, links, images, lists, code blocks all preserved. Always try one method per URL — don't cascade blindly. Pick the right one upfront. is the directory where this SKILL.md lives. Resolve it before calling the script.
This skill parses natural language shopping queries to extract structured product requirements like attributes, price limits, and specifications for e-commerce agents. It benefits developers building AI-powered shopping assistants and agents that need intelligent query understanding.
Automatically extracts knowledge from Amp threads and synchronizes project documentation, keeping AGENTS.md and other docs up-to-date after epics and major work. Ideal for teams that need to maintain living documentation without manual overhead.
Heuristic scoring (no AI key configured).
Run this bash block first, before any analysis: This is the first time clearshot is running — no config exists yet. Before doing any analysis, tell the user to run the onboarding setup. Say something brief like: "clearshot needs a quick first-run setup (two questions, arrow keys + enter):"
yq is a YAML field extraction tool that lets Claude efficiently query specific data from YAML files while saving 80-95% context usage. Developers working with config files, Kubernetes manifests, and Docker Compose will benefit from faster, more focused file parsing.
"description": "MalChela malware analysis toolkit — exposes file analysis, string extraction, hash lookup, NSRL queries, and directory scanning to Claude via MCP. Built for DFIR analysts and malware researchers.", "name": "Doug Metz", "email": "dwmetz@gmail.com"
A skill that removes backgrounds from images using FAL.ai's BiRefNet model, enabling developers to quickly extract subjects and create transparent PNGs. Useful for anyone building image processing features into Claude-based applications.
A Telegram automation assistant that helps users digest unread messages, analyze writing style, and draft/publish posts to channels. Ideal for power Telegram users and content creators seeking workflow automation.
