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community-pulse

community-pulse

github.com/fusengineProductivity3440 installsUpdated 2w ago
Repository

About community-pulse

A skill that gathers and analyzes public feedback about Claude Code using Exa search. It offers quick and deep research modes, classifies sentiment, and reports actionable findings with sources.

Key features

  1. 01Quick and deep Exa searches
  2. 02Search five feedback categories
  3. 03Filter for recent results
  4. 04Classify positive, neutral, and negative sentiment
  5. 05Report findings with sources

Use cases

  1. 01Track reactions to Claude Code updates
  2. 02Find reported bugs and issues
  3. 03Review community experiences with plugins
  4. 04Gather tips and product comparisons

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/fusengine/claude-plugins --skill community-pulse

After installing, type/community-pulsein Claude Code to confirm it loaded.

Details

From the project README
Gathers and analyzes community feedback about Claude Code — real-world usage patterns, bug reports, and feature requests from blogs, forums, and social media — using Exa search tools. Two modes: quick (default, `web_search` for recent mentions) or deep (`--deep`, `deep_researcher` for comprehensive analysis). Searches five priority categories (updates, bugs, plugins, comparisons, tips), classifies each result's sentiment (positive/neutral/negative), and reports actionable insights with sources.

Community Pulse Skill

Overview

Gathers and analyzes community feedback about Claude Code using Exa search tools.

Modes

  • Quick (default): Exa web_search for recent mentions
  • Deep (--deep): Exa deep_researcher for comprehensive analysis

Search Categories

CategoryExa QueryPriority
Updates"Claude Code" release OR update 2026HIGH
Bugs"Claude Code" bug OR issue OR brokenHIGH
Plugins"Claude Code" plugin OR hooks experienceMEDIUM
Comparison"Claude Code" vs Cursor OR WindsurfLOW
Tips"Claude Code" tips OR workflow OR best practicesMEDIUM

Workflow

  1. Search using category-specific Exa queries
  2. Filter for recent results (last 30 days)
  3. Analyze sentiment (positive/neutral/negative)
  4. Extract actionable insights
  5. Report with sources and recommendations

Sentiment Classification

SignalClassification
"love", "amazing", "game changer"Positive
"update", "released", "changed"Neutral
"broken", "bug", "regression", "worse"Negative

References

Comments

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