Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Personal CRM for managing contacts, relationships, and follow-ups using markdown files. Use when the user wants to add contacts, track relationships, set follow-up reminders, query contacts by tag/company/location, import/export contacts, or manage networking leads. Supports natural language input for adding contacts.
Personal CRM for managing contacts, relationships, and follow-ups using markdown files. Use when the user wants to add contacts, track relationships, set follow-up reminders, query contacts by tag/company/location, import/export contacts, or manage networking leads. Supports natural language input for adding contacts.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Manage contacts, relationships, and follow-ups with markdown files. No database needed.
Initialize contacts inside memory/ for semantic search integration: mkdir -p memory/contacts/{people,companies,events,_templates,scripts} cp skills/crm/assets/templates/*.md memory/contacts/_templates/ cp skills/crm/scripts/*.py memory/contacts/scripts/ clawdbot memory index
When user describes a contact naturally, extract and create: User says: "Met Sarah Lee at Web3 summit. She's head of partnerships at Polygon, based in Dubai. Telegram @sarahlee" Extract: name: Sarah Lee company: Polygon role: Head of Partnerships location: Dubai telegram: "@sarahlee" met_at: web3-summit tags: [web3, partnership] Then run: memory/contacts/memory/contacts/scripts/crm-add.py person "Sarah Lee" --company "Polygon" --role "Head of Partnerships" --location "Dubai" --telegram "@sarahlee" --tags "web3,partnership"
All scripts use /usr/bin/python3 and require PyYAML.
memory/contacts/scripts/crm-query.py --list people # List all people memory/contacts/scripts/crm-query.py --tag investor # Filter by tag memory/contacts/scripts/crm-query.py --company "Acme" # Filter by company memory/contacts/scripts/crm-query.py --introduced-by bob # Find introductions memory/contacts/scripts/crm-query.py --location singapore # Filter by location memory/contacts/scripts/crm-query.py --search "supply chain" # Full-text search memory/contacts/scripts/crm-query.py -v # Verbose output
memory/contacts/scripts/crm-add.py person "Name" --company "Co" --role "Title" --tags "a,b" memory/contacts/scripts/crm-add.py company "Company Name" --industry "Tech" memory/contacts/scripts/crm-add.py event "Event Name" --date 2026-03-15 --location "City"
memory/contacts/scripts/crm-update.py alice-chen --interaction "Called about demo" memory/contacts/scripts/crm-update.py alice-chen --set-follow-up 2026-02-15 memory/contacts/scripts/crm-update.py alice-chen --add-tag vip memory/contacts/scripts/crm-update.py alice-chen --touch # Update last_contact to today
memory/contacts/scripts/crm-followups.py --summary # Quick summary memory/contacts/scripts/crm-followups.py --days 7 # Due in 7 days memory/contacts/scripts/crm-followups.py --dormant 90 # Not contacted in 90 days memory/contacts/scripts/crm-remind.py contact --in 3d # Remind in 3 days memory/contacts/scripts/crm-remind.py --list # List reminders memory/contacts/scripts/crm-remind.py --check # Check due reminders
memory/contacts/scripts/crm-import.py contacts.csv # Import CSV memory/contacts/scripts/crm-import.py contacts.vcf # Import vCard memory/contacts/scripts/crm-import.py linkedin.csv --format linkedin # LinkedIn export memory/contacts/scripts/crm-export.py --csv out.csv # Export CSV memory/contacts/scripts/crm-export.py --vcard out.vcf --type people # Export vCard
memory/contacts/scripts/crm-index.py # Rebuilds contacts/_index.md
memory/ โโโ contacts/ # Inside memory/ for semantic search โโโ people/ # One file per person โโโ companies/ # One file per company โโโ events/ # One file per event โโโ _templates/ # Templates for new contacts โโโ _index.md # Auto-generated lookup table โโโ .reminders.json # Reminder data โโโ scripts/ # CLI tools
YAML fields: introduced_by: bob-smith, met_at: event-slug Wiki-links in notes: [[bob-smith]], [[acme-corp]] Semantic search: Memory search finds connections in prose
Add to HEARTBEAT.md: ### CRM Follow-ups (check 1-2x daily) 1. Run: `/usr/bin/python3 contacts/memory/contacts/scripts/crm-followups.py --summary` 2. Run: `/usr/bin/python3 contacts/memory/contacts/scripts/crm-remind.py --check` If there are due items, notify the user.
Use --dry-run on import to preview before creating files Run crm-index.py after bulk changes to update the index Tags are lowercase, comma-separated Slugs are auto-generated from names (lowercase, hyphenated) For natural language input, extract fields and use crm-add.py
Writing, remixing, publishing, visual generation, and marketing content production.
Largest current source with strong distribution and engagement signals.