crm

Contact memory and interaction log — remembers callers across calls, logs every conversation with outcome and personal context

3,891 stars

Best use case

crm is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Contact memory and interaction log — remembers callers across calls, logs every conversation with outcome and personal context

Teams using crm should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/crm/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/batthis/amber-voice-assistant/amber-skills/crm/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/crm/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How crm Compares

Feature / AgentcrmStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Contact memory and interaction log — remembers callers across calls, logs every conversation with outcome and personal context

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# CRM Skill — Contact Memory for Voice Calls

Remembers callers across calls and logs every conversation.

## How It Works

### On Every Inbound Call

1. **Lookup** — Call `crm` with `lookup_contact` using the caller's phone number (from Twilio caller ID).
2. **If known** — Greet by name and use `context_notes` to personalize (ask about their dog, remember their preference, etc.)
3. **If unknown** — Proceed normally, listen for their name.

### During the Call

When someone shares their name, email, company, or any personal detail, silently upsert it via `crm.upsert_contact`. Don't announce this.

### At End of Call

1. Log the interaction: `log_interaction` with summary + outcome
2. Update context_notes with any new personal details learned, synthesizing with what was known before

### On Outbound Calls

Same exact flow: lookup at start, upsert + log_interaction at end.

## API Reference

| Action | Purpose |
|--------|---------|
| `lookup_contact` | Fetch contact + last 5 interactions + context_notes. Returns null if not found. |
| `upsert_contact` | Create or update a contact by phone. Only provided fields are updated. |
| `log_interaction` | Log a call: summary, outcome, details. Auto-creates contact if needed. |
| `get_history` | Get past interactions for a contact (sorted newest-first). |
| `search_contacts` | Search by name, email, company, notes. |
| `tag_contact` | Add/remove tags (e.g. "vip", "callback_later"). |

## Privacy

- **Event details stay private.** Like the calendar skill, never disclose event details to callers.
- **CRM context is personal.** The `context_notes` field is for Amber's internal memory, not for sharing call transcripts. Use it to inform conversation, not to recite it.
- **PII storage.** Phone, name, email, company, context_notes are stored locally in SQLite. No network transmission, no external CRM by default.

## Security

- Synchronous SQLite (better-sqlite3) with parameterized queries — no SQL injection surface
- Private number detection — calls from anonymous/blocked numbers are skipped entirely
- Input validation at three levels: schema patterns, handler validation, database constraints
- Database file created with mode 0600 (owner read/write only)

## Examples

**Greeting a known caller:**
```
Amber: "Hi Sarah, good to hear from you again. How's Max doing?" 
[context_notes remembered: "Has a Golden Retriever named Max. Prefers afternoon calls."]
```

**Capturing new info silently:**
```
Caller: "By the way, I got married last month!"
Amber: [silently calls upsert_contact + updates context_notes with "Recently married"]
Amber (aloud): "That's wonderful! Congrats!"
```

**End-of-call log:**
```
Amber: [calls log_interaction: summary="Called to reschedule Friday appointment", outcome="appointment_booked"]
Amber: [calls upsert_contact with context_notes: "Prefers afternoon calls. Recently married. Reschedules frequently but always shows up."]
```

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