productboard-search

What This Skill Does

The ProductBoard Search skill provides a powerful interface for interacting with your ProductBoard workspace directly from OpenClaw. It enables users to perform granular searches across features, products, and customer feedback. By bridging the gap between your workspace data and the AI agent, this skill allows for quick retrieval of product roadmaps, structural hierarchies, and customer sentiment, effectively turning your documentation into a conversational knowledge base.

Installation

To install this skill, run the following command in your terminal or OpenClaw interface: clawhub install openclaw/skills/skills/robertoamoreno/productboard-search

Use Cases

This skill is designed for product managers, product marketers, and engineering leads who need fast access to product context. Use this skill when you need to:

• Quickly look up the status of a specific feature without opening a browser tab.
• Identify which products or components a feature belongs to.
• Audit recent customer feedback to gather insights for upcoming sprints.
• Explore the organizational structure of your workspace to understand how components are nested under products.
• Quickly locate documentation or descriptions associated with specific product features.

Example Prompts

1. "Find all features related to the authentication module that are currently in progress."
2. "Show me the product hierarchy for our mobile team to see how components are organized."
3. "List all recent feedback notes regarding 'performance' from the last 30 days."

Tips & Limitations

• Strategy: Always start by mapping your workspace structure with pb_product_hierarchy if you are working with an unfamiliar product line. This prevents searching in the wrong directory.
• Precision: If your initial search returns too many results, narrow your scope by using pb_feature_list with a specific productId instead of relying solely on global pb_search.
• Feedback: When searching notes, remember that the search engine is case-insensitive, but specific date filtering via createdFrom and createdTo is recommended for high-volume feedback environments.
• Limitations: This skill provides read-only access to your ProductBoard data; you cannot update feature status or create new notes directly. Ensure your API permissions allow the agent to read your workspace entities.