Back to skills
SKILL.md
crm-cli
DSecurityManage contacts, companies, deals, and pipeline with crm.cli — a headless CLI-first CRM backed by SQLite with a virtual filesystem interface
- 117 stars
- 0 votes
- 0 copies
- 0 views
- Added September 20, 2026
Works with
Security analysis
42/100- Pipes output to a shell interpreter
- Uses curl or wget to download content
- Downloads and executes remote scripts — classic supply chain attack
npx -y skills add dzhng/crm.cli --skill skills --agent claude-codeAre you the author of crm-cli?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/dzhng-crm-cli)---
name: crm-cli
description: Manage contacts, companies, deals, and pipeline with crm.cli — a headless CLI-first CRM backed by SQLite with a virtual filesystem interface
install: curl -fsSL https://raw.githubusercontent.com/dzhng/crm.cli/main/install.sh | sh
---
# crm.cli
A headless, CLI-first CRM. Contacts, deals, and pipeline in a single SQLite file — queryable from your terminal, composable with Unix tools, and mountable as a virtual filesystem.
## Install
```bash
curl -fsSL https://raw.githubusercontent.com/dzhng/crm.cli/main/install.sh | sh
```
This downloads the precompiled binary to `~/.local/bin` and installs mount dependencies (FUSE on Linux, Rust toolchain on macOS for NFS).
After install, make sure `~/.local/bin` is in your PATH:
```bash
export PATH="$HOME/.local/bin:$PATH"
```
Verify:
```bash
crm --version
```
## Configuration
Optional. Create `crm.toml` in your project root or `~/.crm/config.toml`:
```toml
[database]
path = "~/.crm/crm.db"
[pipeline]
stages = ["lead", "qualified", "proposal", "negotiation", "closed-won", "closed-lost"]
won_stage = "closed-won"
lost_stage = "closed-lost"
[defaults]
format = "table"
[phone]
default_country = "US"
display = "international"
[mount]
default_path = "~/crm"
```
Config is auto-discovered by walking up from the current directory. Override with `--config <path>` or `CRM_CONFIG` env var.
## Global Flags
Every command accepts:
- `--db <path>` — SQLite database path (default: `~/.crm/crm.db`, env: `CRM_DB`)
- `--format <fmt>` — Output format: `table`, `json`, `csv`, `tsv`, `ids`
- `--config <path>` — TOML config file path
- `--no-color` — Disable colored output
## Contacts
### Create a contact
```bash
crm contact add --name "Jane Doe" \
--email jane@acme.com \
--phone "+1-212-555-1234" \
--linkedin linkedin.com/in/janedoe \
--company "Acme Corp" \
--tag hot-lead \
--set title=CTO
```
All flags are optional except `--name`. Phones are normalized to E.164, LinkedIn URLs are extracted to handles, companies are auto-created if they don't exist. `--email`, `--phone`, `--company`, `--tag`, and `--set` are all repeatable.
Social handle flags: `--linkedin`, `--x`, `--bluesky`, `--telegram`. All accept raw handles or full URLs.
### List contacts
```bash
crm contact list
crm contact list --tag hot-lead --company "Acme Corp"
crm contact list --filter "title~=CTO AND company=Acme" --sort name --limit 20
crm contact list --format json | jq '.[].name'
```
Filter operators: `=`, `!=`, `~=` (contains), `>`, `<`. Combine with `AND` / `OR`.
### Show a contact
Look up by ID, email, phone, or social handle:
```bash
crm contact show ct_01J8ZVXB3K...
crm contact show jane@acme.com
crm contact show "+12125551234"
crm contact show janedoe # LinkedIn handle
```
### Edit a contact
```bash
crm contact edit jane@acme.com --name "Jane Smith"
crm contact edit "+12125551234" --add-email jane2@acme.com --rm-tag old-tag
crm contact edit janedoe --add-company "New Corp" --set title=CEO --unset source
```
Add/remove flags: `--add-email`, `--rm-email`, `--add-phone`, `--rm-phone`, `--add-company`, `--rm-company`, `--add-tag`, `--rm-tag`. Social handles set directly: `--linkedin`, `--x`, `--bluesky`, `--telegram`.
### Delete a contact
```bash
crm contact rm jane@acme.com
crm contact rm "+12125551234" --force # skip confirmation
crm contact rm janedoe # by social handle
```
### Merge contacts
Merge two contacts into one. First contact survives, second is absorbed and deleted. Accepts any reference type:
```bash
crm contact merge ct_01A... ct_01B...
crm contact merge jane@acme.com jane.doe@acme.com
crm contact merge "+12125551234" "+14155559876"
crm contact merge janedoe jane-doe-linkedin
```
Combines emails, phones, companies, tags, custom fields, and relinks all deals and activity.
## Companies
### Create a company
```bash
crm company add --name "Acme Corp" \
--website acme.com \
--phone "+1-800-555-0000" \
--tag enterprise \
--set industry=SaaS
```
`--website`, `--phone`, `--tag`, `--set` are repeatable.
### List / show / edit / delete
```bash
crm company list --tag enterprise
crm company show acme.com # by website
crm company show "+18005550000" # by phone
crm company edit acme.com --name "Acme Inc" --add-website acme.io
crm company rm acme.com --force
```
### Merge companies
```bash
crm company merge co_01A... co_01B...
crm company merge acme.com acme.io
crm company merge "+18005550000" "+18005550001"
```
Relinks all contacts and deals from second to first.
## Deals
### Create a deal
```bash
crm deal add --title "Acme Enterprise" \
--value 50000 \
--stage qualified \
--contact jane@acme.com \
--company acme.com \
--expected-close 2026-06-15 \
--probability 60 \
--tag enterprise
```
Contacts and companies are auto-created if they don't exist. `--contact` and `--tag` are repeatable.
### List deals
```bash
crm deal list --stage qualified --min-value 10000
crm deal list --contact jane@acme.com --sort value --reverse
crm deal list --format ids | wc -l # count deals
```
### Move a deal through the pipeline
```bash
crm deal move dl_01... --stage proposal --note "Sent pricing deck"
crm deal move dl_01... --stage closed-won --note "Signed 2-year contract"
```
Stage transitions are recorded as activity with timestamps. Use `deal move`, not `deal edit --stage`.
### Edit / delete
```bash
crm deal edit dl_01... --value 75000 --add-contact bob@acme.com --probability 80
crm deal rm dl_01... --force
```
### Pipeline overview
```bash
crm pipeline
```
Shows count, total value, and weighted value per stage.
## Activity Logging
### Log an activity
```bash
crm log note "Had coffee with Jane, discussed Q3 expansion" --contact jane@acme.com
crm log call "Demoed product, she wants a proposal" --contact jane@acme.com --deal dl_01...
crm log meeting "Quarterly review" --company acme.com --at 2026-04-01
crm log email "Sent follow-up pricing" --contact jane@acme.com --set channel=outbound
```
Types: `note`, `call`, `meeting`, `email`. Contacts and companies are auto-created. `--contact` is repeatable. `--at` overrides the timestamp.
### List activities
```bash
crm activity list --contact jane@acme.com --since 2026-01-01
crm activity list --type call --limit 10
crm activity list --deal dl_01... --format json
```
## Tags
```bash
crm tag jane@acme.com hot-lead enterprise # add tags
crm untag jane@acme.com old-tag # remove tags
crm tag list # all tags with counts
crm tag list --type contact # contact tags only
```
Tags work on contacts, companies, and deals.
## Search
### Exact keyword search (FTS5)
```bash
crm search "acme CTO"
crm search "jane" --type contact
```
### Fuzzy / semantic search
```bash
crm find "fintech startup London"
crm find "that CTO I met at the conference" --limit 5 --threshold 0.3
```
### Rebuild search index
```bash
crm index rebuild
crm index status
```
Index updates automatically on writes. Manual rebuild only needed after corruption.
## Duplicate Detection
```bash
crm dupes
crm dupes --type contact --threshold 0.5
crm dupes --type company --limit 20
```
Uses combined Levenshtein + Dice coefficient similarity. Detects: similar names, shared emails, shared phones, shared websites, shared social handles. Review then merge:
```bash
crm dupes --type contact
# → Jane Doe ↔ J. Doe: similar name, shared email
crm contact merge ct_01A... ct_01B...
```
## Reports
```bash
crm report pipeline # stage counts & values
crm report activity --period 30d --by type # activity volume
crm report stale --days 14 --type contact # no recent activity
crm report conversion --since 2026-01-01 # stage-to-stage rates
crm report velocity --won-only # time per stage
crm report forecast --period 2026-Q2 # weighted forecast
crm report won --period 90d # closed-won summary
crm report lost --period 90d # closed-lost summary
```
## Import / Export
### Import from CSV or JSON
```bash
crm import contacts leads.csv
crm import contacts leads.json --update # update existing by email match
crm import companies companies.csv --dry-run
crm import deals deals.csv --skip-errors
cat data.json | crm import contacts - # import from stdin
```
CSV headers: `name`, `email`/`emails`, `phone`/`phones`, `company`/`companies`, `tags`, `linkedin`, `x`, `bluesky`, `telegram`. Unrecognized columns become custom fields.
### Export
```bash
crm export contacts --format csv > contacts.csv
crm export companies --format json > companies.json
crm export deals --format tsv
crm export all --format json > full-backup.json
```
## Virtual Filesystem (Mount)
Mount the CRM as a live read/write filesystem. Any tool that reads files gets full CRM access — AI agents, grep, jq, vim, scripts.
### Mount
```bash
crm mount ~/crm
crm mount ~/crm --readonly
```
On Linux this uses FUSE. On macOS this uses an NFS v3 server (no kernel extensions needed).
### Filesystem layout
```
~/crm/
├── llm.txt # Instructions for AI agents
├── contacts/
│ ├── ct_01...jane-doe.json # Contact JSON files
│ ├── _by-email/ # Lookup by email
│ ├── _by-phone/ # Lookup by E.164 phone
│ ├── _by-linkedin/ # Lookup by LinkedIn handle
│ ├── _by-x/ # Lookup by X handle
│ ├── _by-company/ # Grouped by company
│ └── _by-tag/ # Grouped by tag
├── companies/
│ ├── co_01...acme-corp.json
│ ├── _by-website/
│ ├── _by-phone/
│ └── _by-tag/
├── deals/
│ ├── dl_01...acme-enterprise.json
│ ├── _by-stage/
│ ├── _by-company/
│ └── _by-tag/
├── activities/
│ ├── _by-contact/
│ ├── _by-company/
│ ├── _by-deal/
│ └── _by-type/
├── reports/ # Pre-computed analytics
│ ├── pipeline.json
│ ├── forecast.json
│ ├── stale.json
│ ├── conversion.json
│ ├── velocity.json
│ ├── won.json
│ └── lost.json
├── pipeline.json # Quick pipeline overview
├── tags.json # All tags with counts
└── search/ # Search by reading files
└── <query>.json # cat search/"acme CTO".json
```
### Read via filesystem
```bash
ls ~/crm/contacts/
cat ~/crm/contacts/ct_01...jane-doe.json | jq .
cat ~/crm/contacts/_by-email/jane@acme.com.json
cat ~/crm/deals/_by-stage/qualified/
cat ~/crm/reports/forecast.json
cat ~/crm/search/"enterprise deals".json
```
### Write via filesystem
```bash
# Create a contact
echo '{"name":"Bob Smith","emails":["bob@globex.com"]}' > ~/crm/contacts/new.json
# Update (read → modify → write back)
cat ~/crm/contacts/ct_01...jane-doe.json | jq '.tags += ["vip"]' > ~/crm/contacts/ct_01...jane-doe.json
# Delete
rm ~/crm/contacts/ct_01...jane-doe.json
```
### Unmount
```bash
crm unmount ~/crm
```
### Static export (no mount needed)
```bash
crm export-fs ./crm-snapshot
```
Exports the same directory structure as a static copy — useful in containers or sandboxes where FUSE isn't available.
## Bulk Operations
Use `--format ids` to pipe into other commands:
```bash
# Tag all contacts from Acme as enterprise
crm contact list --company "Acme Corp" --format ids | xargs -I{} crm tag {} enterprise
# Move all qualified deals over $50k to proposal
crm deal list --stage qualified --min-value 50000 --format ids | \
xargs -I{} crm deal move {} --stage proposal
# Delete all stale contacts
crm report stale --days 90 --type contact --format ids | xargs -I{} crm contact rm {} --force
```
## Custom Fields
All entities support arbitrary key-value fields:
```bash
crm contact add --name "Jane" --set title=CTO --set source=conference
crm contact edit jane@acme.com --set "json:score=85" --set "json:verified=true"
crm contact edit jane@acme.com --unset source
crm contact list --filter "title~=CTO"
```
Prefix with `json:` for typed values (numbers, booleans, arrays).
## Hooks
Configure shell hooks in `crm.toml` that fire on mutations:
```toml
[hooks]
post-contact-add = "~/.crm/hooks/notify-slack.sh"
post-deal-stage-change = "~/.crm/hooks/deal-moved.sh"
pre-contact-rm = "~/.crm/hooks/confirm-delete.sh"
```
Entity data is passed as JSON on stdin. Pre-hooks abort on non-zero exit.
Available hooks: `{pre,post}-{contact,company,deal}-{add,edit,rm}`, `{pre,post}-deal-stage-change`, `{pre,post}-activity-add`.
## Tips for AI Agents
- **Mount first:** `crm mount ~/crm` gives you filesystem access — read JSON files directly instead of running CLI commands
- **Read `llm.txt`:** The mount point contains `llm.txt` with structure docs and tips
- **Use `_by-*` directories** for fast lookups: `_by-email`, `_by-phone`, `_by-linkedin`, `_by-tag`, `_by-stage`
- **Use `--format json`** for all CLI output when processing programmatically
- **Use `--format ids`** + `xargs` for bulk operations
- **Read `reports/`** for pre-computed analytics — don't recompute from raw data
- **Search via filesystem:** `cat ~/crm/search/"your query".json`
- **Write via filesystem:** Create/update entities by writing JSON files
- **All JSON files are self-contained** — no need to join across files
- **Phone numbers** accept any format on input; stored as E.164 internally
- **Social handles** accept full URLs; stored as clean handles
Attribution
Comments
Loading comments…