Find
Locate anything with progressive search expansion, multi-source validation, and iterative refinement until found.
Why use this skill?
Use the OpenClaw Find skill to perform intelligent, multi-source searches with iterative refinement. Locate specific data, files, and resources with ease.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/ivangdavila/findWhat This Skill Does
The Find skill is an advanced discovery engine designed to locate information, files, or specific data points when the source or location is not immediately obvious. Rather than performing a single, shallow search, Find utilizes a recursive methodology: Need, Clarify, Search, Validate, and Expand. It begins with narrow, high-probability searches and iteratively broadens the scope across multiple specialized domains if the initial results fall short. The agent performs parallel multi-source validation to ensure that the information delivered is not only accurate but also current and reliable, minimizing the risk of delivering stale data. It acts as an investigative layer within your OpenClaw workflow, systematically documenting its efforts so that if the item cannot be found, you receive a detailed report of what was tried and why the search was exhausted.
Installation
To integrate this skill into your environment, use the OpenClaw CLI: clawhub install openclaw/skills/skills/ivangdavila/find
Use Cases
Use the Find skill when you are dealing with ambiguous or fragmented information requests. It is ideal for:
- Locating specific API documentation or niche technical resources.
- Identifying the provenance of a quote, research paper, or obscure historical fact.
- Navigating vast repositories to find specific configuration files or assets where the file path is unknown.
- Researching market intelligence or competitor data across diverse public web sources.
Example Prompts
- "Find the latest official documentation on the new API rate limits for the X platform, and confirm if these apply to legacy keys."
- "I need to find the original source of the research paper titled 'Quantum Lattice Dynamics' from 2018. If it's behind a paywall, find a publicly accessible abstract or summary."
- "Where can I get a reliable list of current open-source data sets for training sentiment analysis models in Spanish?"
Tips & Limitations
To get the best results, always be as specific as possible about your success criteria in the initial interaction. The skill works best when the agent understands what 'failure' looks like, as this prevents it from hallucinating or presenting incorrect matches. Note that this skill is not meant for simple lookups (like 'What is the capital of France?'). It is designed for complex, non-obvious tasks. If you already have a direct URL or a known source, use a direct retrieval method instead of this skill, as Find's iterative expansion will consume unnecessary time and resources for simple queries.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-ivangdavila-find": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api
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