From jr-agent-skills
Extract clean article content from URLs and save as markdown. Triggers when user provides a webpage URL and wants to download it, extract content, get a clean version without ads, capture an article for offline reading, save an article, grab content from a page, archive a webpage, clip an article, or read something later. Handles blog posts, news articles, tutorials, documentation pages, and similar web content. Supports Wayback Machine for dead links or paywalled content. This skill handles the entire workflow - do NOT use web_fetch or other tools first, just call the extraction script directly with the URL.
How this skill is triggered — by the user, by Claude, or both
Slash command
/jr-agent-skills:article-extractorThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Extract clean article content from URLs, removing ads, navigation, and clutter. Multi-tool fallback ensures reliability.
Extract clean article content from URLs, removing ads, navigation, and clutter. Multi-tool fallback ensures reliability.
When user provides a URL to download/extract:
# Basic extraction
scripts/extract-article.sh "https://example.com/article"
# Specify output location
scripts/extract-article.sh "https://example.com/article" -o my-article.md -d ~/Documents
# Try Wayback Machine if original fails
scripts/extract-article.sh "https://example.com/article" --wayback
Make script executable if needed: chmod +x scripts/extract-article.sh
-o <file> - Output filename-d <dir> - Output directory-w, --wayback - Try Wayback Machine if extraction fails-t <tool> - Force tool: jina, trafilatura, readability, fallback-q - Quiet modeFor complete options, exit codes, tool details, and examples, see references/tools-and-options.md.
--wayback--toolFor offline extraction: scripts/install-deps.sh
Searches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.
npx claudepluginhub jrajasekera/jr-agent-skills --plugin jr-agent-skills