Pulse
Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days).
Before & after
Same prompt, same agent — the only difference is the skill.
I can search the internet for you and find some recent information about AI agent frameworks. There's been a lot of discussion online, so I'm sure there are useful perspectives out there. Would you like me to look at blog posts, news articles, or social media? I could check a few different sources and summarize what I find. Let me know what angle interests you most—like technical discussions, adoption trends, or comparisons between different frameworks.
PULSE BRIEFING: AI AGENT FRAMEWORKS (Last 30 days) SOURCE BREAKDOWN • Reddit (r/MachineLearning, r/LocalLLM): 847 posts, avg 12 upvotes • Hacker News: 34 top-level posts, 1.2k avg comments • Tech blogs/news: 156 articles across TechCrunch, Vergetech, OpenAI blogs • Twitter/X: 12.4k mentions, 8.2k retweets, trending in ML circle KEY PATTERNS • Trend: Open-source frameworks (LangChain, CrewAI) dominate beginner interest • Sentiment: 62% positive (performance gains), 28% neutral (comparison posts), 10% critical (API costs) • Problems cited: latency in production, hallucination bugs, vendor lock-in • Opportunities: cost optimization, local-first deployment, multi-model routing CROSS-PLATFORM CONSENSUS • Reddit + HN agree: community matters more than framework—examples/docs drive adoption • Technical debate: structured vs freeform agent design remains unsettled RECOMMENDATION: Monitor HN for emerging frameworks (2-3 week lead on mainstream)
About this skill
name: pulse description: Use when Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days).
Pulse
Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.
What you get
- Public GitHub repo (alirezarezvani/claude-skills)
- the pulse skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.
Customize your output
- Fork the repo and adapt the skill's instructions and references to your workflow.
Example output
Activates automatically when your request matches Pulse; chains with the other skills, agents, and commands in the collection.
Best for
Creators, builders, and teams using Claude Code.
SKILL.md preview
---
name: pulse
description: Use this skill when the user wants multi-source recency research on a topic pulled from Reddit, Hacker News, the open web, and optionally X within a recent time window.
version: 1.0.0
category: Research & Data / Research
author: AgentVolt
license: proprietary
tags:
- research-data
- research
---
# Pulse
Takes the pulse of a topic by searching multiple live sources within a recent window and synthesizing a cited briefing instead of a single-source summary.
## When to use
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