Skill: normallygaussian/parallel-extract (version 1.0.3)

--- name: parallel-extract description: "URL content extraction via Parallel API. Extracts clean markdown from webpages, articles, PDFs, and JS-heavy sites. Use for reading specific URLs with LLM-ready output." homepage: https://parallel.ai --- # Parallel Extract Extract clean, LLM-ready content from URLs. Handles webpages, articles, PDFs, and JavaScript-heavy sites that need rendering. ## When to Use Trigger this skill when the user asks for: - "read this URL", "fetch this page", "extract from..." - "get the content from [URL]" - "what does this article say?" - Reading PDFs, JS-heavy pages, or paywalled content - Getting clean markdown from messy web pages **Use Search to discover; use Extract to read.** ## Quick Start ```bash parallel-cli extract "https://example.com/article" --json ``` ## CLI Reference ### Basic Usage ```bash parallel-cli extract "<url>" [options] ``` ### Common Flags | Flag | Description | |------|-------------| | `--url "<url>"` | URL to extract (repeatable, max 10) | | `--objective "<focus>"` | Focus extraction on specific content | | `--json` | Output as JSON | | `--excerpts` / `--no-excerpts` | Include relevant excerpts (default: on) | | `--full-content` / `--no-full-content` | Include full page content | | `--excerpts-max-chars N` | Max chars per excerpt | | `--excerpts-max-total-chars N` | Max total excerpt chars | | `--full-max-chars N` | Max full content chars | | `-o <file>` | Save output to file | ### Examples **Basic extraction:** ```bash parallel-cli extract "https://example.com/article" --json ``` **Focused extraction:** ```bash parallel-cli extract "https://example.com/pricing" \ --objective "pricing tiers and features" \ --json ``` **Full content for PDFs:** ```bash parallel-cli extract "https://example.com/whitepaper.pdf" \ --full-content \ --json ``` **Multiple URLs:** ```bash parallel-cli extract \ --url "https://example.com/page1" \ --url "https://example.com/page2" \ --json ``` ## Default Workflow 1. **Search** with an objective + keyword queries 2. **Inspect** titles/URLs/dates; choose the best sources 3. **Extract** the specific pages you need (top N URLs) 4. **Answer** using the extracted excerpts/content ## Best-Practice Prompting ### Objective When extracting, provide context: - What specific information you're looking for - Why you need it (helps focus extraction) **Good:** `--objective "Find the installation steps and system requirements"` **Poor:** `--objective "Read the page"` ## Response Format Returns structured JSON with: - `url` — source URL - `title` — page title - `excerpts[]` — relevant text excerpts (if enabled) - `full_content` — complete page content (if enabled) - `publish_date` — when available ## Output Handling When turning extracted content into a user-facing answer: - Keep content **verbatim** — do not paraphrase unnecessarily - Extract **ALL** list items exhaustively - Strip noise: nav menus, footers, ads, "click here" links - Preserve all facts, names, numbers, dates, quotes - Include **URL + publish_date** for transparency ## Running Out of Context? For long conversations, save results and use `sessions_spawn`: ```bash parallel-cli extract "<url>" --json -o /tmp/extract-<topic>.json ``` Then spawn a sub-agent: ```json { "tool": "sessions_spawn", "task": "Read /tmp/extract-<topic>.json and summarize the key content.", "label": "extract-summary" } ``` ## Error Handling | Exit Code | Meaning | |-----------|---------| | 0 | Success | | 1 | Unexpected error (network, parse) | | 2 | Invalid arguments | | 3 | API error (non-2xx) | ## Prerequisites Requires `parallel-cli` (installed and authenticated). If `parallel-cli --version` fails, or if a later command fails with an authentication error, tell the user to see https://docs.parallel.ai/integrations/cli and stop. ## References - [API Docs](https://docs.parallel.ai) - [Extract API Reference](https://docs.parallel.ai/api-reference/extract)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)