community-pulse

Name: community-pulse
Author: fusengine

github.com/fusengineProductivity3440 installsUpdated 2w ago

About community-pulse

community-pulse is a skill for people tracking Claude Code feedback across blogs, forums, and social media. It uses Exa searches to classify sentiment and produce sourced, actionable findings in quick or deep mode.

Key features

01Searches five Claude Code feedback categories
02Offers quick and deep search modes
03Classifies sentiment of results
04Reports sourced actionable insights

Use cases

01Review recent Claude Code bug reports
02Track community reactions to updates and plugins
03Gather community tips and comparisons

Install

Copy the command and run it in a terminal.

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

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

Bundled filesreferences/exa-queries.mdreferences/templates/pulse-report.md

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

Category	Exa Query	Priority
Updates	`"Claude Code" release OR update 2026`	HIGH
Bugs	`"Claude Code" bug OR issue OR broken`	HIGH
Plugins	`"Claude Code" plugin OR hooks experience`	MEDIUM
Comparison	`"Claude Code" vs Cursor OR Windsurf`	LOW
Tips	`"Claude Code" tips OR workflow OR best practices`	MEDIUM

Workflow

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

Sentiment Classification

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

References

Comments

Markdown supported

Details

Author: fusengine
Repository: fusengine/agents
Category: Productivity
Installs: 40
GitHub stars: 34

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