A sophisticated discovery pattern that utilizes progressive search expansion and multi-source validation to locate specific information until success criteria are met.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install find
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 find 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 Find?
The Find skill is a specialized pattern designed for Openclaw Skills that prioritizes exhaustive and iterative discovery over simple lookups. It operates on a progressive refinement model, starting with high-probability sources and expanding into specialized databases, alternative queries, and indirect paths when initial attempts fail.
By focusing on clarification and success criteria before execution, this skill ensures that the agent understands the exact nature of the request. This avoids the retrieval of irrelevant data and allows for high-confidence delivery. It is an essential component for any workflow requiring deep research or the discovery of specific, hard-to-find assets.
Find Use Cases
- Locating specific technical documentation, obscure code libraries, or niche API endpoints.
- Finding vendors, products, or service providers that meet highly specific constraints or budget requirements.
- Discovering contact information for subject matter experts or specific domain-specific data sources.
- Researching historical facts or technical specifications where the source is initially unknown.
How Find Works
- Clarification: The agent identifies exactly what is needed, the success criteria, and any constraints to avoid searching for the wrong thing.
- Initial Search: Execution begins with obvious sources and direct lookups in known locations.
- Progressive Expansion: If the item is not found, the search expands to specialized sources, alternative terminology, and indirect paths.
- Validation: Each potential result is verified for reliability, currency, and alignment with the user's criteria.
- Delivery: The results are presented with a confidence score and relevant source attribution.
Find Setup
To integrate the Find pattern into your Openclaw Skills environment, ensure your agent has access to web search tools or internal database connectors. You can initialize a search workflow using the following structure:
# Example of initiating a search for a specific resource
openclaw find --target "proprietary-sdk-docs" --criteria "v3.0 or higher"
Ensure that the agent is programmed to ask at least one clarifying question if the search parameters are too vague.
Find Data Schema & Taxonomy
The Find skill organizes its output into a structured format to provide maximum clarity to the user:
| Attribute | Description |
|---|---|
| FOUND | A clear identification of the object or information located. |
| WHERE | The specific source, URL, or file path where the item was discovered. |
| CONFIDENCE | A high, medium, or low rating based on validation success. |
| CAVEATS | Important notes, such as information being outdated or slightly off-target. |
Find Advanced Features
- Iterative Search Loops: Naturally integrates with the loop skill to continue searching until a specific success threshold is met.
- Multi-Source Parallelization: Capable of querying multiple domain-specific databases simultaneously to speed up discovery.
- Fallback Intelligence: Provides a detailed report of exhausted paths and suggested alternative approaches if the search is unsuccessful.
- Human-in-the-loop Support: Requests additional context or different angles when automated paths are exhausted.
SKILL.md
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