Research Dispatcher

    2

    Multi-source dispatcher for aggregating technical research and community sentiment across HN, Reddit, and GitHub.

    $12

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseOpenClawOpenClaw+21 more

    research-dispatcher

    Example session with this skill installed

    Research what the community is saying about agentic workflows and find any relevant OSS projects on GitHub.

    • Read your context and instructions
    • Compiled the research-dispatcher

    Sources: HN (3 hits), Reddit (2 hits), GitHub (5 hits).

    • [HN] "Agentic Workflows in Prod" (412 pts, 85 comments)
    • [GH] langchain-ai/langgraph (Tag: LLM, 15k stars, pushed 2 days ago)
      Theme: Consensus shifting from basic RAG to state-machine based agent orchestration.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Survey open-source activity and repository health for specific tech stacks.Compare community sentiment and technical critiques between HN and Reddit.Gather cross-platform evidence before making architectural decisions.Identify trending technical topics within specific developer niches.

    About this skill

    What it does

    The Research Dispatcher is a developer-centric research engine that routes queries across Hacker News, Reddit, GitHub, and Brave Search through a single declarative interface. Instead of manual tab-switching, it programmatically queries community-specific APIs, applies source-specific query optimizations, and aggregates the results into a unified Markdown report.

    Why use this skill

    Standard LLM web searches often miss the nuanced "community signal" found in developer hubs. This skill encodes platform-specific logic—such as GitHub technical qualifiers (stars, topics, push dates) and Reddit subreddit sorting—that generic search engines frequently overlook. It handles the "search-fu" for you, managing rate limits, API nuances, and formatting so you get high-signal data without the noise.

    Supported sources

    • Hacker News: Deep technical discussions via Algolia API.
    • Reddit: Community sentiment and niche subreddit insights.
    • GitHub: Real-time OSS activity, trending repos, and issue tracking.
    • Brave Search: Fresh general web results with date filtering.

    The Output

    The skill produces a structured Markdown synthesis including top hits (ranked by score/relevance), deduplicated cross-platform URLs, and identified recurring themes across different communities.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Click the path to copy it. Create the folder if it does not exist yet.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 4 months ago

    • Passed all security checks, Safe to install

    Listed4 months ago

    What's inside

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