OpenClaw · Skill
Oee CRM Intelligence
by Odin's Eye Enterprises — Ancient Wisdom. Modern Intelligence.
Install
Start with the primary install command. Alternate entrypoints are included below for ClawHub and OpenClaw CLI users.
Primary command
clawhub install odinbot33/oee-crm-intelligenceClawHub installer
npx clawhub@latest install odinbot33/oee-crm-intelligenceOpenClaw CLI
openclaw skills install odinbot33/oee-crm-intelligenceDirect OpenClaw install
openclaw install odinbot33/oee-crm-intelligenceWhat this skill does
by Odin's Eye Enterprises — Ancient Wisdom. Modern Intelligence.
Why it matters
The two-stage approach keeps costs low by running AI scoring only on contacts that pass the initial filter, rather than sending every record to the LLM.
Typical use cases
- Prioritizing follow-ups after a conference
- Filtering a large imported contact list down to warm leads
- Scoring a new contact before a sales call
- Finding who to reach out to this week from a stale CRM
- Reviewing which contacts match a specific campaign context
Source instructions
🐾 CRM Intelligence — Smart Contact Filtering
by Odin's Eye Enterprises — Ancient Wisdom. Modern Intelligence.
2-stage Berman-style filtering and contact scoring for your personal CRM. Learns what matters to you.
What It Does
- Stage 1 — Quick keyword/pattern filter (fast, cheap)
- Stage 2 — AI-powered relevance scoring (deeper analysis)
- Learns from your feedback to improve over time
Trigger Phrases
- "filter my contacts"
- "score this lead"
- "who should I reach out to"
- "CRM filter"
- "prioritize contacts"
Usage
# Filter contacts from a CSV/JSON
python crm_filter.py filter contacts.json
# Score a specific contact
python crm_filter.py score "John Doe" --context "met at conference"
# Show learning stats
python crm_filter.py stats
Files
crm_filter.py— main filtering enginelearning.json— learned preferences (auto-updated)
Requirements
- Python 3.10+
ANTHROPIC_API_KEYenvironment variable (for Stage 2 AI scoring)
For Agents
Run from the skill directory. Filter results come as JSON on stdout.
python crm_filter.py filter contacts.json --top 10
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