tesla-fleet-api — Claude Code skill: what it does, how to install
Automates vehicle telemetry checks and remote commands through Tesla Fleet API. It lets your assistant manage battery limits, climate, and locks directly.
npx skills add odrobnik/tesla-fleet-api-skill --skill tesla-fleet-api -a claude-codeWhat tesla-fleet-api does
The skill equips coding agents with a set of Python scripts to interact with the official Tesla Fleet API. You run command.py to trigger HVAC preconditioning, adjust seat climate, lock doors, or wake sleeping vehicles. To inspect battery state or climate statistics, vehicle_data.py outputs readable text or raw JSON.
Signed vehicle actions rely on bundled shell scripts start_proxy.sh and stop_proxy.sh for the local proxy. Runtime files, cached lists, and keys reside in {workspace}/tesla-fleet-api/. The tool does not load .env files. Parameters must exist as shell environment variables or inside config.json.
Running these scripts requires python3 and openssl in your PATH. You also need an active developer application providing TESLA_CLIENT_ID and TESLA_CLIENT_SECRET.
What it helps with
- Check battery state and climate telemetry from the terminal
- Trigger remote HVAC start and seat temperature adjustments
- Configure departure preconditioning schedules
- Manage charging limits and wake resting vehicles
Example prompts for the agent
- Check current battery level using vehicle_data.py
- Start climate control at 21 degrees with command.py climate temps 21
- Set battery charge limit to 80 percent
How to install tesla-fleet-api
1Skills CLI (Vercel)
npx skills add odrobnik/tesla-fleet-api-skill --skill tesla-fleet-api -a claude-code2Manually: put the files in place
~/.claude/skills/tesla-fleet-api/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/tesla-fleet-api/
1Skills CLI (Vercel)
npx skills add odrobnik/tesla-fleet-api-skill --skill tesla-fleet-api -a codex2Manually: put the files in place
.agents/skills/tesla-fleet-api/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add odrobnik/tesla-fleet-api-skill --skill tesla-fleet-api -a cursor2Manually: put the files in place
.cursor/skills/tesla-fleet-api/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install odrobnik/tesla-fleet-api-skill tesla-fleet-api2Manually: put the files in place
.github/skills/tesla-fleet-api/SKILL.md1Skills CLI (Vercel)
npx skills add odrobnik/tesla-fleet-api-skill --skill tesla-fleet-api -a gemini-cli2Platform CLI
gemini skills install https://github.com/odrobnik/tesla-fleet-api-skillManually: put the files in place
.devin/skills/tesla-fleet-api/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add odrobnik/tesla-fleet-api-skill --skill tesla-fleet-api -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about tesla-fleet-api
How to install tesla-fleet-api in Claude Code?
Run npx skills add odrobnik/tesla-fleet-api-skill --skill tesla-fleet-api -a claude-code. The definition will be placed in ~/.claude/skills/tesla-fleet-api/SKILL.md.
What does tesla-fleet-api do?
It provides Python entry points to query vehicle telemetry and dispatch signed commands over Tesla Fleet API.
What credentials and tools are needed?
The host machine requires python3 and openssl binaries. Authenticating requires setting TESLA_CLIENT_ID and TESLA_CLIENT_SECRET via environment variables or config.json.
