crm
Contact memory and interaction log — remembers callers across calls, logs every conversation with outcome and personal context
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/crm/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How crm Compares
| Feature / Agent | crm | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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.
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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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