agentleFS
intercomintercom/claude-plugin-external/skills/customer-360/SKILL.md

customer-360

Skill3 starsChanged 8 months agoMITView on GitHub

Build a comprehensive customer profile from Intercom data, including conversation history, account context, and interaction timeline. Use when the user asks to "look up a customer", "customer profile", "customer 360", "tell me about this customer", "summarize a customer's history", or provides a customer email or company name and wants a full picture.

3 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions3 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 3

    1. reatlat/fullstory-claude-plugin★ 36same name
    2. composio-community/support-skills★ 18same name
    3. kyle-olmstead/cs-claude-engine★ 1same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository4 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

6 rules. 0 are common, 3 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use search_contacts to find the contact (by email is most reliable)

    line 22
  2. Distinctive:

    If company name given, search contacts by email domain

    line 23
  3. Very specific:

    Use get_contact to fetch the full profile (attributes, tags, segments, companies)

    line 24
  4. Very specific:

    Use search_conversations filtered to this contact's conversations

    line 27
  5. Distinctive:

    Always cite conversation IDs so the user can find them in the Intercom inbox

    line 64
  6. Distinctive:

    If the contact has many conversations, summarize the most recent 10-15 and note the total count

    line 66

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Customer 360

Produce a comprehensive customer profile by aggregating data from across the Intercom workspace.

Workflow

Step 1: Identify the Customer

  • Parse the user's input for an email, name, or company
  • Use search_contacts to find the contact (by email is most reliable)
  • If company name given, search contacts by email domain
  • Use get_contact to fetch the full profile (attributes, tags, segments, companies)

Step 2: Gather Conversation History

  • Use search_conversations filtered to this contact's conversations
  • Paginate to get all conversations (not just the first page)
  • For the most recent/relevant conversations, use get_conversation for full threads

Step 3: Build the Profile

Produce a markdown profile with these sections:

Contact Summary

  • Name, email, role (user/lead), company
  • Location, timezone, last seen
  • Plan/tier (if available via custom attributes)
  • Tags and segments

Conversation History

  • Total conversation count
  • Table: ID | Subject | State | Channel | Date
  • Highlight any currently open/snoozed conversations

Key Themes

  • Common topics across conversations
  • Recurring issues or feature requests
  • Sentiment signals (escalations, positive feedback)

Timeline

  • Chronological list of significant interactions
  • First contact → most recent activity

Open Items

  • Unresolved conversations
  • Pending questions or follow-ups

Step 4: Present and Offer Next Steps

  • Present the profile
  • Offer to dive deeper into any conversation
  • Offer to search for similar customers (same company, same issues)

Best Practices

  • Always cite conversation IDs so the user can find them in the Intercom inbox
  • Note data freshness — states may have changed since events occurred
  • If the contact has many conversations, summarize the most recent 10-15 and note the total count
  • Handle cases where the contact exists but has no conversations

Troubleshooting

Contact Not Found

Symptom: No results for the provided email or name. Solution: Check for typos. Try searching by email domain to find related contacts. Ask the user to confirm the identifier.

Too Many Conversations

Symptom: Contact has 50+ conversations, making full analysis impractical. Solution: Focus on the most recent 10-15 conversations. Summarize older ones by theme rather than individually. Note the total count.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

Reviews can't be read right now.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.