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community-pulse

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npx machina-cli add skill fusengine/agents/community-pulse --openclaw
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SKILL.md
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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

Source

git clone https://github.com/fusengine/agents/blob/main/plugins/changelog-watcher/skills/community-pulse/SKILL.mdView on GitHub

Overview

Gathers and analyzes community feedback about Claude Code from blogs, forums, and social media using Exa search tools. It surfaces sentiment, real-world usage patterns, bug reports, and feature requests to inform product decisions and prioritization.

How This Skill Works

The skill runs category-specific Exa queries (Updates, Bugs, Plugins, Comparison, Tips), then filters results to the last 30 days, analyzes sentiment (positive/neutral/negative), extracts actionable insights, and reports with sources and recommendations. Quick uses Exa web_search for recent mentions; Deep uses Exa deep_researcher for a comprehensive analysis.

When to Use It

  • After a new Claude Code release to gauge overall reception and identify immediate concerns
  • When bug reports or negative feedback surge on blogs, forums, or social media
  • To evaluate plugin experiences and integration issues raised by users
  • To compare Claude Code with rivals (Cursor or Windsurf) and note strengths/weaknesses
  • To collect user tips, workflows, and best practices for future improvements

Quick Start

  1. Step 1: Run Quick search using Updates, Bugs, Plugins queries to capture recent mentions
  2. Step 2: Filter results to last 30 days and run sentiment analysis
  3. Step 3: Generate a Pulse Report with sources and recommended actions

Best Practices

  • Use Quick for rapid sentiment snapshots and Deep for thorough analysis
  • Filter results to the last 30 days to reflect current feedback
  • Tag insights by category (Updates, Bugs, Plugins, Tips) and sentiment
  • Cross-check findings against official release notes and changelogs
  • Generate reports with clear sources and concrete recommendations for engineers

Example Use Cases

  • Detected a spike in negative sentiment about a plugin during a recent release cycle
  • Identified common bug reports and their preferred workarounds from forums
  • Uncovered user workflow tips that improved Claude Code integration with existing tooling
  • Compared Claude Code vs Cursor, revealing neutral to positive sentiment with notable feature gaps
  • Produced a pulse report highlighting action items for QA and product teams

Frequently Asked Questions

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