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    parallel-research

    by Kevin Cline

    Automate deep research by decomposing complex topics into parallel sub-tasks and generating a structured report.

    Updated Apr 2026
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    One-time purchase

    $12

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    ⚡ Also available via Agensi Pro — your AI agent can load this skill on demand via MCP. Learn more →

    Included in download

    • Generate comprehensive market analysis reports with citations and sources.
    • Conduct technical comparisons of frameworks with performance benchmarks.
    • terminal, network automation included
    • Includes example output and usage patterns
    • Instant install

    See it in action

    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...

    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.

    📖 Learn more: Best Frontend & Design Skills for Claude Code →

    Use Cases

    • Generate comprehensive market analysis reports with citations and sources.
    • Conduct technical comparisons of frameworks with performance benchmarks.
    • Perform background deep-dives on companies or founders before meetings.
    • Create structured how-to guides by synthesizing official docs and GitHub issues.

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Network Access

    Allowed Hosts

    api.telegram.org

    Creator

    K
    Kevin Cline

    ClawdWorks

    Builder of autonomous AI agents and Claude Code skills. ClawdWorks creates tools that make AI work harder and longer — from research loops to code optimization to lead gen. Powered by Claude Opus 4.6 + Codex 5.4.

    Frequently Asked Questions

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    $12

    One-time