research-dispatcher
by Rapa Canola
Multi-source dispatcher for aggregating technical research and community sentiment across HN, Reddit, and GitHub.
- 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.
$12
One-time purchase
Included in download
- Survey open-source activity and repository health for specific tech stacks.
- Compare community sentiment and technical critiques between HN and Reddit.
- terminal, network automation included
- Includes example output and usage patterns
See it in action
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.
research-dispatcher
by Rapa Canola
Multi-source dispatcher for aggregating technical research and community sentiment across HN, Reddit, and GitHub.
$12
One-time purchase
⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →
Included in download
- Survey open-source activity and repository health for specific tech stacks.
- Compare community sentiment and technical critiques between HN and Reddit.
- terminal, network automation included
- Includes example output and usage patterns
- Instant install
See it in action
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.
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.
Use Cases
- 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.
How to Install
unzip research-dispatcher.zip -d ~/.claude/skills/Reviews
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