attio-cli
Interact with your Attio CRM workspace via the attio-cli.
Best use case
attio-cli is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Interact with your Attio CRM workspace via the attio-cli.
Teams using attio-cli 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/attio-cli/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How attio-cli Compares
| Feature / Agent | attio-cli | 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?
Interact with your Attio CRM workspace via the attio-cli.
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.
SKILL.md Source
# attio-cli
Interact with your Attio CRM workspace via the attio-cli.
## Install
1. Clone and install the CLI:
```bash
git clone https://github.com/FroeMic/attio-cli
cd attio-cli
npm install
npm link
```
2. Set `ATTIO_API_KEY` environment variable (get it from Attio Settings > Developers > API Keys):
- **Recommended:** Add to `~/.claude/.env` for Claude Code
- **Alternative:** Add to `~/.bashrc` or `~/.zshrc`: `export ATTIO_API_KEY="your-api-key"`
**Repository:** https://github.com/FroeMic/attio-cli
## Commands
List objects and records:
```bash
attio object list # List all objects
attio record list people # List people records
attio record list companies # List company records
```
Work with lists (pipelines):
```bash
attio list list-all # List all lists
attio entry list <list-slug> # List entries in a list
```
Get detailed info:
```bash
attio object get <object-slug> # Get object details
attio object attributes <object-slug> # Get object attributes
attio list attributes <list-slug> # Get list entry attributes
```
## Generate Workspace Schema
Generate a markdown schema of your workspace for context:
```bash
bash {baseDir}/scripts/generate-schema.sh > {baseDir}/workspace.schema.md
```
This creates a reference file documenting all objects, attributes, lists, and field options in your workspace.
## Key Concepts
| Concept | Purpose | Example |
|---------|---------|---------|
| **Objects** | Base record types | People, Companies, Deals |
| **Lists** | Pipeline/workflow management | Sales Pipeline, Hiring |
| **Records** | Individual items in objects | A specific person or company |
| **Entries** | Records added to a list | A deal in the Sales Pipeline |
## API Reference
- **Base URL:** `https://api.attio.com/v2`
- **Auth:** `Authorization: Bearer $ATTIO_API_KEY`
- **Rate Limits:** 100 requests per 10 seconds per workspace
## Common API Operations
Search for a person:
```bash
curl -X POST https://api.attio.com/v2/objects/people/records/query \
-H "Authorization: Bearer $ATTIO_API_KEY" \
-H "Content-Type: application/json" \
-d '{"filter": {"email_addresses": {"contains": "john@example.com"}}}'
```
Create a record:
```bash
curl -X POST https://api.attio.com/v2/objects/<object-slug>/records \
-H "Authorization: Bearer $ATTIO_API_KEY" \
-H "Content-Type: application/json" \
-d '{"data": {"values": {"name": [{"value": "Record Name"}]}}}'
```
Add entry to a list:
```bash
curl -X POST https://api.attio.com/v2/lists/<list-slug>/entries \
-H "Authorization: Bearer $ATTIO_API_KEY" \
-H "Content-Type: application/json" \
-d '{"data": {"parent_record_id": "<record-id>"}}'
```
## Notes
- Run `generate-schema.sh` after installing to create a workspace schema file with all your objects, lists, and field options.
- Lists are commonly used to manage pipelines (sales stages, hiring workflows, etc.).
- The CLI requires `jq` for JSON processing in schema generation.Related Skills
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