Community Intel for Openclaw

An automated agent skill for gathering deep community intelligence and tracking adoption trends for any open-source project or product.

npfaerber
v1.1.0
Feb 28, 2026
0
922
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install community-intel

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install community-intel using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Community Intel?

Community Intel is a powerful tool designed for Openclaw Skills that automates the tedious process of monitoring community sentiment and technical discussions. By scanning platforms like Reddit, Hacker News, GitHub, and Twitter, the agent identifies use cases, bug reports, and emerging trends without manual intervention. It excels at parsing deep comment threads to extract high-value insights often missed by surface-level scrapers.

This skill transforms raw social data into structured reports, allowing maintainers and developers to stay informed about their ecosystem. By utilizing Openclaw Skills, the agent learns over time which sources provide the highest signal-to-noise ratio, ensuring that your intelligence reports become more refined and actionable with every run.

Community Intel Use Cases

  • Monitoring sentiment and feedback for an open-source project release.
  • Discovering creative third-party integrations or tools built by the community.
  • Identifying recurring complaints or security concerns across multiple social platforms.
  • Tracking competitor adoption and comparing community engagement.
  • Staying updated on technical discussions and deep-dive tutorials on YouTube or Hacker News.

How Community Intel Works

  1. The agent initializes by reading the existing intelligence file to gather context and identify priority sources.
  2. It executes targeted search queries across primary platforms like Reddit, Twitter/X, and Hacker News using defined project keywords.
  3. The agent performs deep reading of threads, analyzing comments and upvotes to distinguish between noise and significant community signal.
  4. Findings are synthesized into a structured report highlighting cool use cases, tips, new tools, and security risks.
  5. The cumulative intelligence log is updated, and a summary is dispatched via Discord or email for immediate review.
  6. The agent rates source quality for the run, allowing it to optimize future research paths based on yield.

Community Intel Setup

To integrate this into your workflow, configure the environment variables or use the CLI to add the cron job to Openclaw Skills. Run the following command to schedule a nightly research task:

openclaw cron add \
  --name "Community Intel" \
  --schedule "45 22 * * *" \
  --message "You are doing community research for [PROJECT_NAME]..."

Ensure you have configured your PROJECT_NAME, SEARCH_TERMS, and INTEL_FILE path in your workspace config to allow the agent to persist findings correctly.

Community Intel Data Schema & Taxonomy

The skill maintains a persistent intelligence file (typically memory/project-intel.md) to track historical data and avoid duplicates. The structure is organized as follows:

Section Content Description
Best Sources A ranked list of platforms (Reddit, HN, etc.) based on recent signal quality.
Resources A curated directory of discovered tools, links, and sites.
Findings Log A reverse-chronological log of daily or weekly research reports.

Each report entry includes headlines, use cases, tips, community buzz, and a source quality rating (1-3 stars).

Community Intel Advanced Features

  • Multi-platform rotation including academic papers (ArXiv) and product launch sites (Product Hunt).
  • Source prioritization logic that adjusts research focus based on historical yield.
  • Automated sentiment shift tracking to identify when community perception changes over time.
  • Integration with Discord and Email for real-time alerts on security findings or viral mentions.
  • Intelligent de-duplication to ensure the findings log only contains new and relevant information.

SKILL.md


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