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
- reatlat/fullstory-claude-plugintheir own version, first seen Oct 30, 2026
- kyle-olmstead/cs-claude-enginetheir own version, first seen Oct 17, 2026
- composio-community/support-skillstheir own version, first seen Apr 10, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- reatlat/fullstory-claude-plugin★ 36same name
- composio-community/support-skills★ 18same name
- 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.
- CLAUDE.mdCLAUDE.md
- install-cliSkill
- install-messengerSkill
- intercom-analysisSkill
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
- Very specific: line 22
Use search_contacts to find the contact (by email is most reliable)
- Distinctive: line 23
If company name given, search contacts by email domain
- Very specific: line 24
Use get_contact to fetch the full profile (attributes, tags, segments, companies)
- Very specific: line 27
Use search_conversations filtered to this contact's conversations
- Distinctive: line 64
Always cite conversation IDs so the user can find them in the Intercom inbox
- Distinctive: line 66
If the contact has many conversations, summarize the most recent 10-15 and note the total count
“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.
Files
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_contactsto find the contact (by email is most reliable) - If company name given, search contacts by email domain
- Use
get_contactto fetch the full profile (attributes, tags, segments, companies)
Step 2: Gather Conversation History
- Use
search_conversationsfiltered to this contact's conversations - Paginate to get all conversations (not just the first page)
- For the most recent/relevant conversations, use
get_conversationfor 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.
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
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