Research Dispatcher
by Rapa Canola
Multi-source dispatcher for aggregating technical research and community sentiment across HN, Reddit, and GitHub.
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Works with the AI tools you already use
See it in action
You say
Research what the community is saying about agentic workflows and find any relevant OSS projects on GitHub.
Your agent does
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.
What you get
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
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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5 skills on Agensi
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