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Parallel Research
Automate deep research by decomposing complex topics into parallel sub-tasks and generating a structured report.
$12
Works with the AI Agents you already use
parallel-research
Example session with this skill installed
Perform a deep dive on the state of AI agent frameworks for 2024-2025 and save the report to my research folder.
- Read your context and instructions
- Compiled the parallel-research
Research complete.
Topic: AI Agent Frameworks (2024-2025)
Angles researched: 4
Sources consulted: 12
Report saved: ./research/ai-agent-frameworks-2025-05-10.md
Executive Summary: CrewAI and LangGraph have emerged as leaders in multi-agent orchestration...
Key findings
• LangGraph leads for stateful...
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About this skill
What it does
Parallel Research is a powerful orchestration skill designed to turn slow, manual deep-dives into a structured, automated workflow. Instead of researching in a linear loop, this skill decomposes a complex topic into 3-5 distinct sub-questions (angles), executes targeted searches for each simultaneously, fetches full-page content for deeper analysis, and synthesizes everything into a professional Markdown report saved directly to your workspace.
Why use this skill
Standard LLM web searches often suffer from "rabbit hole" syndrome—getting bogged down in one source or missing the bigger picture. This skill enforces a "parallel execution" pattern used by professional analysts to ensure comprehensive coverage. It handles the heavy lifting of:
- Angle Decomposition: Automatically identifying market, technical, and strategic dimensions of your query.
- Fact Verification: Cross-referencing sources to flag contradictions and information gaps.
- Structured Output: Generating a citation-rich report with executive summaries and recommended next steps.
- Persistence: Saving the final output to disk so your research lives beyond the chat window.
Supported Tools
This skill leverages a full suite of agentic capabilities including WebSearch for discovery, WebFetch for deep content extraction, and Filesystem access (Read/Write/Bash) for report generation and directory management.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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