A multi-source search utility that aggregates, ranks, and summarizes data from Google, Scholar, YouTube, and X into a single research brief.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install kiro-search-aggregator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install kiro-search-aggregator 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 Kiro Search Aggregator?
Kiro Search Aggregator is a sophisticated search orchestration tool designed for high-velocity research and data gathering. By integrating multiple search engines and social platforms into a single workflow, it allows developers to pull comprehensive datasets without switching contexts. As part of the ecosystem of Openclaw Skills, this tool handles the heavy lifting of querying disparate APIs and synthesizing the results into a unified structure.
Whether you are performing academic research or tracking social trends, this skill provides a standardized way to consume web data. It is particularly effective for AI agents that require fresh, multi-platform context to generate accurate responses or reports.
Kiro Search Aggregator Use Cases
- Conducting multi-platform market research across web and social media.
- Automating academic literature reviews using Google Scholar integration.
- Monitoring brand mentions and trending topics on X and YouTube.
- Generating consolidated intelligence briefs for automated agent workflows.
- Rapidly benchmarking search results across different search providers.
How Kiro Search Aggregator Works
- The user provides a search query and specifies the desired sources (Google, Scholar, YouTube, or X).
- The skill authenticates with the required APIs using pre-configured environment variables.
- It executes parallel or sequential queries to each selected provider based on the per-source limit.
- The raw data is aggregated and processed through a ranking logic to identify the most relevant hits.
- The tool generates two distinct outputs: a machine-readable JSON for further automation and a Markdown summary for human review.
Kiro Search Aggregator Setup
Prerequisites
Ensure you have Python 3 installed on your system.
Environment Configuration
Set the following environment variables based on the sources you intend to use:
SERPER_API_KEY: Required for Google and YouTube results.SERPAPI_API_KEY: Required for Google Scholar results.X_BEARER_TOKEN: Required for X (Twitter) search.
Usage
Execute the aggregator via the command line:
python3 skills/kiro-search-aggregator/scripts/search_aggregator.py \
--query "AI agents workflow" \
--sources "google,scholar,youtube,x" \
--per-source 5
Kiro Search Aggregator Data Schema & Taxonomy
The skill saves all processed data to the outputs/search-aggregator/ directory.
| File Name | Format | Description |
|---|---|---|
latest.json |
JSON | Full machine-readable dataset including raw API responses and ranked metadata. |
latest.md |
Markdown | A clean, formatted summary including a brief of findings and a list of top results. |
This structured approach ensures that Openclaw Skills can easily pass the resulting data to other processing agents.
Kiro Search Aggregator Advanced Features
- Multi-source orchestration supporting Google, Google Scholar, YouTube, and X.
- Configurable depth of search via the per-source result parameter.
- Automated ranking and summarization for instant intelligence.
- Dual-output architecture optimized for both human readability and agent-to-agent communication.
- Flexible API integration allowing for partial source usage based on available keys.
SKILL.md
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