closedloop:ship-notify

Search customer insights semantically to identify shipped-feature requesters with quotes and dates.

1|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/closedloop-ai-org/claude-code-skills --skill closedloop-ship-notify
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: closedloop:ship-notify
Source: https://github.com/closedloop-ai-org/claude-code-skills/tree/main/skills/ship-notify
Command: npx skills add https://github.com/closedloop-ai-org/claude-code-skills --skill closedloop-ship-notify

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps CS teams and product organizations automatically identify customers who requested a shipped feature, and generate personalized outreach drafts referencing their own words to close the feedback loop.

Core Features & Use Cases

  • Semantic search across customer insights to surface all relevant requests for a shipped feature, with quotes and dates.
  • Multi-step enrichment: expand descriptions, deduplicate insights by customer, and highlight deal context (value, stage, churn risk).
  • Draft outreach generation: produce customer-specific draft messages that quote the customer's own words and reflect their pain points, ready for PM/CSM review.

Quick Start

Describe the shipped feature in your own words and run the skill to generate outreach drafts for each customer.

Frequently Asked Questions about closedloop:ship-notify

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I draft personalized outreach for customers who requested a shipped feature?

Draft personalized outreach by running a semantic search across customer insights to match shipped feature descriptions with exact customer quotes, pain points, and dates. The skill generates per-customer draft messages that quote the customer's own words for CSM or PM review.

How does semantic search match customer feedback to a newly shipped feature?

Semantic search matches customer feedback by comparing the shipped feature description against related phrasing in stored insights. This process builds a master list of customers who requested the feature, deduplicating entries and surfacing exact quotes with timestamps.

Can I prioritize customer outreach using deal value and churn signals?

You can prioritize customer outreach because the skill enriches the master list with deal context, returning per-customer details including deal value, stage, and churn risk signals alongside their original feature request quotes.

What is the best way to close the feedback loop with customers after a product launch?

The best way to close the feedback loop is to automatically generate customer-specific outreach drafts that reference the customer's own words and pain points. This acknowledges their contribution and informs them that the requested feature is now shipped.

Does this skill require any specific integrations or dependencies to collect customer quotes?

No specific integrations or dependencies are required. The skill operates independently to semantically search stored insights, deduplicate requests by customer, and generate outreach drafts based on the provided feature description and related phrasing.

What details are included in the generated outreach drafts for each customer?

Generated outreach drafts include per-customer details such as exact quotes, pain points, workaround notes, deal value, and churn signals. This context ensures the personalized messages are ready for review and prioritize outreach effectively.