parallel-web/result
Get completed research task result by run ID
Get completed research task result by run ID
npx skills add https://github.com/parallel-web/parallel-agent-skills/tree/main/skills/resultGet completed research task result by run ID
This repo contains 8 individual skills — each has its own dedicated page.
Bulk data enrichment. Adds web-sourced fields (CEO names, funding, contact info) to lists of companies, people, or products. Use for enriching CSV files or inline data. Supports multi-turn: pass --previous-interaction-id from a prior research task to carry context forward.
ONLY use when user explicitly says 'deep research', 'exhaustive', 'comprehensive report', or 'thorough investigation'. Slower and more expensive than parallel-web-search. For normal research/lookup requests, use parallel-web-search instead. Supports multi-turn: pass --previous-interaction-id from a prior research or enrichment to continue with context.
Discover entities (companies, people, products, etc.) matching a natural-language description. Use when the user asks to 'find all X' or 'list every Y that…' — e.g., 'Find AI startups that raised Series A in 2026', 'List roofing companies in Charlotte NC', 'Show me YC W24 dev tools companies'. Different from web-search (which returns webpages) and deep-research (which returns a narrative report). Use this when the user wants a structured list of entities.
Continuously track the web for changes on a recurring cadence. Use when the user asks to 'monitor', 'track changes to', 'watch', or 'alert me when' something on the web changes — e.g., 'Track price changes for iPhone 16', 'Alert me when Tesla files a new 8-K', 'Monitor competitor pricing pages weekly'. Also use to list, inspect, update, or delete existing monitors.
URL content extraction. Use for fetching any URL - webpages, articles, PDFs, JavaScript-heavy sites. Token-efficient: runs in forked context. Prefer over built-in WebFetch.
DEFAULT for all research and web queries. Use for any lookup, research, investigation, or question needing current info. Fast and cost-effective. Only use parallel-deep-research if user explicitly requests 'deep' or 'exhaustive' research.
Set up the Parallel plugin (install CLI)
Check running research task status by run ID
Build a RAG pipeline using natural language. Give your agent the skill to query complex vector stores through simple chat.
🛠️ Install, manage, and share Claude Code skills effortlessly with one command, streamlining your workflow and enhancing team collaboration.
Provide 43 AI agent skills to automate Japanese business tasks across e-commerce, finance, marketing, and operations with efficient workflow integration
Automate Snowflake data warehouse operations -- list databases, schemas, and tables, execute SQL statements, and manage data workflows via the Composio MCP integration.
An agent skill for coding agents (e.g., Codex, Claude Code) that conducts structured UX research discovery interviews, guiding users from vague product ideas to clear discovery insights.
Local PII protection for OpenClaw agents. Scrubs customer data before it reaches any AI model.