Customer Memory Skill

Persistent customer context for support, sales, and success agents backed by BlueColumn.

Setup

Read TOOLS.md for the BlueColumn API key (bc_live_*). Keys are generated at bluecolumn.ai/dashboard. Store securely — never log or expose them.

Base URL: https://xkjkwqbfvkswwdmbtndo.supabase.co/functions/v1 (BlueColumn's official backend — bluecolumn.ai runs on Supabase Edge Functions)

Store Customer Interaction

curl -X POST .../agent-remember \
  -H "Authorization: Bearer \x3Ckey>" \
  -d '{
    "text": "Customer: [email protected]. Issue: API rate limiting on Developer plan. Resolved by upgrading to Builder. Prefers email communication. Tech stack: Python + LangChain.",
    "title": "Customer: [email protected] - 2026-04-14"
  }'

Store Quick Customer Note

curl -X POST .../agent-note \
  -H "Authorization: Bearer \x3Ckey>" \
  -d '{
    "text": "[email protected] prefers async email over live chat",
    "tags": ["customer", "[email protected]", "preference"]
  }'

Recall Customer History

curl -X POST .../agent-recall \
  -H "Authorization: Bearer \x3Ckey>" \
  -d '{"q": "what do we know about [email protected] and her past issues?"}'

Workflow

New interaction:

1. Query customer history first: "what do we know about [customer]?"
2. Use context to personalize response
3. After interaction → store summary via /agent-remember
4. Store key preferences via /agent-note with customer email tag

Support ticket:

1. Recall similar past issues: "have we seen this error before?"
2. Resolve using historical context
3. Log resolution with outcome

Title Convention

"Customer: \x3Cemail> - \x3CYYYY-MM-DD>"

Use consistent email-based naming so recall queries work accurately across all interactions with the same customer.

Tags to Use

• Customer email (e.g. [email protected])
• support, sales, onboarding
• resolved, pending, escalated
• Plan tier: free, developer, builder, scale

See references/api.md for full API reference.