States Media
Official@states-media
Offers specialized document processing, web research synthesis, and structured knowledge management for enterprise information systems.
Agent Skills by States Media
Showing 15 vetted skills indexed across 1 GitHub repositories.
States-Mediasquad-clonning
Automate creation, validation, and assessment of AI agent squads with cloning, domains, or hybrids.
States-Mediaagent-browser
Automate browser navigation, element interaction, and data retrieval via Puppeteer or CDP.
States-Mediawiki-ingest
Convert PDF, Word, and plain text documents into structured wiki pages.
States-Mediayoutube-transcribe
Download YouTube audio and transcribe it locally with whisper models.
States-Mediaresearch-hunter
Combine YouTube transcripts, Reddit threads, and Twitter/X data into structured reports.
States-Mediaingest
Extracts, classifies, and stores web articles as Markdown notes in Obsidian vaults.
States-Mediaxlsx
Automate Excel spreadsheet creation, editing, and analysis with formulas and pandas/ openpyxl.
States-MediaExcel Analysis
Analyze Excel spreadsheets with pandas and openpyxl for reports and charts.
States-MediaExtract and edit text, tables, and images in PDF documents.
States-Mediawiki-lint
Audits wiki pages for broken links, frontmatter consistency, and orphan detection.
States-Mediaskill-creator
Generate structured Claude skill templates with resource scaffolding.
States-Mediapptx
Create, edit, and validate PowerPoint presentations using python-pptx scripts.
States-Mediawiki-query
Query the internal wiki and synthesize cited answers from indexed pages.
States-Mediatech-search
Decompose queries, run parallel web searches, and synthesize structured research reports.
States-Mediadocx
Create and edit Word documents with python-docx, including tracked changes and comments.
Frequently Asked Questions About States Media
FAQPage SchemaWhat specific document processing tasks does States Media support?▼
States Media enables extraction, editing, and validation of PDF, Word, Excel, and PowerPoint files. It supports converting diverse formats like PDF and Word into structured wiki pages, auditing wiki frontmatter for consistency, and performing complex data analysis on spreadsheets using pandas and openpyxl for reporting.
Who is the target persona for these research and ingestion capabilities?▼
These capabilities are designed for knowledge managers, technical researchers, and data analysts who require systematic ingestion of web content and documents. It serves professionals needing to synthesize information from YouTube, Reddit, and Twitter into structured reports or Obsidian-based knowledge vaults.
What are the core dependencies for running these document and research functions?▼
Runtime operations require local environments configured for Puppeteer or CDP for browser navigation, alongside libraries like pandas, openpyxl, python-pptx, and python-docx. Additionally, local whisper models are required for audio transcription tasks, and Obsidian is the primary target for structured Markdown note storage.