Felo AI Search for Openclaw

A powerful AI-synthesized search skill that aggregates and summarizes information from up to 40 web sources for deep research.

iml885203
v1.2.0
Mar 8, 2026
0
1.3k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install felo

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 felo 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 Felo AI Search?

Felo AI Search is a specialized tool designed for Openclaw Skills that provides comprehensive, AI-summarized web search capabilities. Unlike standard search engines, it aggregates between 15 and 40 distinct sources—including community platforms like Reddit, GitHub, and X—to produce a single, structured summary. This skill is ideal for developers and researchers who need multi-source synthesis rather than just a list of links.

By integrating this into your Openclaw Skills workflow, you gain access to deep contextual insights and trend analysis. It excels at answering complex research questions where cross-source analysis is required to form a complete picture, making it a vital asset for community scanning and market intelligence.

Felo AI Search Use Cases

  • Conducting deep research on technical topics requiring multi-source synthesis.
  • Scanning community trends across Reddit, GitHub, X (Twitter), and developer blogs.
  • Performing market news analysis that requires cross-referencing multiple reports.
  • Handling complex queries like "research what is trending in AI" within the context of Openclaw Skills.
  • Identifying consensus or divergent opinions across various technical forums.

How Felo AI Search Works

  1. The user or agent provides a search query (up to 2000 characters) to the Felo AI Search tool.
  2. The skill authenticates with the Felo API using a secured API key stored in the Openclaw Skills configuration.
  3. Felo crawls and analyzes 15-40 relevant web sources simultaneously across the public internet.
  4. An AI model synthesizes the gathered information into a structured summary (answer) and a list of source links.
  5. The structured JSON response is returned to the agent for further processing, analysis, or final output.

Felo AI Search Setup

To get started with this skill for Openclaw Skills, follow these steps:

  1. Sign up at felo.ai and obtain an API key from Settings → API Keys.
  2. Store the key as an environment variable (recommended):
export FELO_API_KEY="your-key-here"
  1. Alternatively, store it in a local configuration file with strict permissions:
mkdir -p ~/.config/felo
echo "your-key-here" > ~/.config/felo/api_key
chmod 600 ~/.config/felo/api_key
  1. Ensure your environment has curl and jq installed for handling requests and parsing data.

Felo AI Search Data Schema & Taxonomy

The Felo AI Search skill returns data in a structured JSON format to ensure compatibility with various Openclaw Skills workflows:

Path Type Description
data.answer String The primary AI-synthesized summary of all search results.
data.query_analysis.queries Array The optimized search terms generated by the AI to perform the lookup.
data.resources Array A collection of 15-40 source objects containing link, title, and snippet.
status String Indicates the success of the API call (e.g., "ok").

This schema allows agents to extract both the high-level summary and the specific citations for verification.

Felo AI Search Advanced Features

  • Community Scanning: Leverage specialized prompts to scan platforms like Reddit and GitHub for the latest discussions within Openclaw Skills.
  • Deep Synthesis: Automatically merges insights from up to 40 different websites into a single coherent response.
  • Rate Limit Management: Supports monitoring via X-RateLimit headers and handles 429 errors with exponential backoff logic.
  • Source Attribution: Provides a comprehensive list of resources, making it easy to generate cited reports or bibliographies.
  • High-Capacity Queries: Supports long-form queries up to 2000 characters for extremely specific research requirements.

SKILL.md


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