skills$openclaw/productboard-search
robertoamoreno2.9k

by robertoamoreno

productboard-search – OpenClaw Skill

productboard-search is an OpenClaw Skills integration for security workflows. Search and explore ProductBoard features, products, and feedback

2.9k stars2.8k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026security

Skill Snapshot

nameproductboard-search
descriptionSearch and explore ProductBoard features, products, and feedback OpenClaw Skills integration.
ownerrobertoamoreno
repositoryrobertoamoreno/productboard-search
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @robertoamoreno/productboard-search
last updatedFeb 7, 2026

Maintainer

robertoamoreno

robertoamoreno

Maintains productboard-search in the OpenClaw Skills directory.

View GitHub profile
File Explorer
2 files
.
_meta.json
298 B
SKILL.md
2.3 KB
SKILL.md

name: productboard-search description: Search and explore ProductBoard features, products, and feedback user-invocable: true homepage: https://github.com/robertoamoreno/openclaw-productboard metadata: {"openclaw":{"emoji":"🔍"}}

ProductBoard Search Skill

Search and explore your ProductBoard workspace to find features, products, components, and customer feedback.

Available Tools

  • pb_search - Global search across all ProductBoard entities
  • pb_feature_list - List features with filters
  • pb_feature_get - Get detailed feature information
  • pb_feature_search - Search features by name/description
  • pb_product_list - List all products
  • pb_product_get - Get product details with components
  • pb_product_hierarchy - View full product/component tree
  • pb_note_list - List customer feedback notes

Search Strategies

Finding Features

  1. By keyword: Use pb_feature_search with a query term
  2. By product: Use pb_feature_list with productId filter
  3. By status: Use pb_feature_list with status filter (new, in-progress, shipped, archived)
  4. By component: Use pb_feature_list with componentId filter

Understanding Structure

  1. Start with pb_product_hierarchy to see the complete workspace organization
  2. Use pb_product_get to explore a specific product and its components
  3. Filter features by product or component to narrow down results

Finding Customer Feedback

  1. Use pb_note_list to see recent feedback
  2. Filter by date range using createdFrom and createdTo
  3. Use pb_search with type note to find specific feedback

Example Queries

User: "Find all features related to authentication" Action: Use pb_feature_search with query "authentication"

User: "What features are currently in progress?" Action: Use pb_feature_list with status "in-progress"

User: "Show me the product structure" Action: Use pb_product_hierarchy to get the full tree

User: "Find customer feedback about performance" Action: Use pb_search with query "performance" and type "note"

Tips

  • Start broad with pb_search, then narrow down with specific tools
  • Use pb_product_hierarchy first when exploring an unfamiliar workspace
  • The search is case-insensitive and matches partial words
  • Results include direct links to ProductBoard for quick access
README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

FAQ

How do I install productboard-search?

Run openclaw add @robertoamoreno/productboard-search in your terminal. This installs productboard-search into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/robertoamoreno/productboard-search. Review commits and README documentation before installing.