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Tesla Smart Charge

Schedules Tesla charging on specified dates with target battery % and times, managing charge limits during and after sessions for battery health.

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Schedules Tesla charging on specified dates with target battery % and times, managing charge limits during and after sessions for battery health.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
CHANGELOG.md, README.txt, SKILL.md, references/api_reference.md, references/cron_setup.md, references/tesla-charge-schedule-example.json

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.1.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 20 sections Open source page

Tesla Smart Charge Optimizer

Schedule Tesla charging to reach target battery % by a specific time. Runs daily via cron to check a schedule file and only charges on configured dates.

Security & Dependencies

Required: Environment variable: TESLA_EMAIL (your Tesla account email) Skill dependency: tesla skill must be installed and properly configured with Tesla API credentials Security improvements (v1.1.0+): βœ… No shell injection risk: Uses argument lists instead of shell=True βœ… Email validation: TESLA_EMAIL is validated before use βœ… Input validation: Charge limits are validated (0-100% range) βœ… Secure env passing: Credentials passed via environment variables, not string interpolation βœ… Explicit dependencies: Metadata declares required env vars and skill dependencies

1. Set Up Schedule

Copy the example schedule file: cp skills/tesla-smart-charge/references/tesla-charge-schedule-example.json \ memory/tesla-charge-schedule.json Edit memory/tesla-charge-schedule.json with your planned charge dates: { "charges": [ { "date": "2026-02-01", "target_battery": 100, "target_time": "08:00" }, { "date": "2026-02-03", "target_battery": 80, "target_time": "07:00" } ] }

Option 1: Daily Check at Midnight (Simple)

clawdbot cron add \ --name "Tesla daily charge check" \ --schedule "0 0 * * *" \ --task "TESLA_EMAIL=your@email.com python3 /path/to/skills/tesla-smart-charge/scripts/tesla-smart-charge.py --check-schedule"

Option 2: Daily Check + Session Management (Recommended)

For better charge limit management, run both: At midnight (initialize daily charge): clawdbot cron add \ --name "Tesla daily charge check" \ --schedule "0 0 * * *" \ --task "TESLA_EMAIL=your@email.com python3 /path/to/skills/tesla-smart-charge/scripts/tesla-smart-charge.py --check-schedule" Every 30 minutes during active hours (manage session limits): clawdbot cron add \ --name "Tesla session management" \ --schedule "*/30 8-23 * * *" \ --task "TESLA_EMAIL=your@email.com python3 /path/to/skills/tesla-smart-charge/scripts/tesla-smart-charge.py --manage-session" The second job ensures charge limits are properly updated throughout the day: βœ… During session: Maintains 100% (or user-specified) limit βœ… After session: Applies 80% (or user-specified) limit for battery health

How It Works

Each day at midnight (or whenever cron runs): Script checks memory/tesla-charge-schedule.json If today's date is in the charges array β†’ executes charge plan Fetches current battery level Calculates optimal start time Sets charge limit to session limit (default 100%) Displays charge details Shows next scheduled charge date If today is NOT scheduled β†’ applies post-charge limit Sets charge limit to default 80% (or user-specified) Still displays next scheduled charge date Session Management: During charge session: Charge limit = charge_limit_percent (default 100%) After charge session expires: Charge limit = post_charge_limit_percent (default 80%) Result: One cron job that handles both charging and limit management β€” no need to create new jobs for each date!

Schedule File Format

{ "charges": [ { "date": "2026-02-01", "target_battery": 100, "target_time": "08:00", "charge_limit_percent": 100, "post_charge_limit_percent": 80 }, { "date": "2026-02-03", "target_battery": 80, "target_time": "07:00", "charge_limit_percent": 100, "post_charge_limit_percent": 80 } ] } Fields: date: YYYY-MM-DD format (when to charge) target_battery: Target battery % (default: 100) target_time: HH:MM when charging should complete (default: 08:00) charge_limit_percent: Charge limit during session (default: 100%, optional) post_charge_limit_percent: Charge limit after session ends (default: 80%, optional)

Tesla Email

export TESLA_EMAIL="your@email.com"

Optional: Customize Charger Power

Default: 2.99 kW (home charger, ~13A @ 230V) Adjust in cron task or when calling manually: --charger-power 3.7 # 16A @ 230V --charger-power 7.4 # 32A @ 230V (dual-phase)

Check Schedule for Today

TESLA_EMAIL="your@email.com" python3 scripts/tesla-smart-charge.py --check-schedule Output: βœ… If scheduled: Shows charge plan + charge limits + next date ❌ If not scheduled: Shows next scheduled date + applies default 80% limit

Manage Active Session (Run During or After Charge)

TESLA_EMAIL="your@email.com" python3 scripts/tesla-smart-charge.py --manage-session This command: Checks if today's charge session is active During session: Sets charge limit to session limit (default 100%) After session: Sets charge limit to post-charge limit (default 80%) No session: Applies default 80% limit Tip: Run this hourly or every 30 minutes during active charging days for real-time limit management.

Show All Scheduled Charges

python3 scripts/tesla-smart-charge.py --show-schedule

Show Last Charge Plan

python3 scripts/tesla-smart-charge.py --show-plan

Daily 100% Charge (Mon-Fri)

{ "charges": [ {"date": "2026-02-02", "target_battery": 100, "target_time": "08:00"}, {"date": "2026-02-03", "target_battery": 100, "target_time": "08:00"}, {"date": "2026-02-04", "target_battery": 100, "target_time": "08:00"}, {"date": "2026-02-05", "target_battery": 100, "target_time": "08:00"}, {"date": "2026-02-06", "target_battery": 100, "target_time": "08:00"} ] }

Smart 80% for Battery Health (Every 3 Days)

{ "charges": [ {"date": "2026-02-01", "target_battery": 80, "target_time": "07:00"}, {"date": "2026-02-04", "target_battery": 80, "target_time": "07:00"}, {"date": "2026-02-07", "target_battery": 80, "target_time": "07:00"} ] }

Variable Targets

{ "charges": [ {"date": "2026-02-01", "target_battery": 100, "target_time": "08:00"}, {"date": "2026-02-02", "target_battery": 80, "target_time": "07:00"}, {"date": "2026-02-03", "target_battery": 60, "target_time": "06:00"} ] }

Charge Time Estimation

Charge time is calculated as: energy_needed_kwh = (battery_capacity Γ— (target - current) / 100) / charge_efficiency charge_time_hours = energy_needed_kwh / charger_power_kw start_time = target_time - charge_time_hours - margin_minutes Where: battery_capacity: Vehicle battery size (kWh, default: 75) charger_power_kw: Your charger's power (kW, default: 2.99) charge_efficiency: ~0.92 (typical AC charging) margin_minutes: Buffer before target (default: 5 min) Example: 75 kWh battery at 50%, charging to 100% by 08:00 with 2.99 kW: Energy needed: (75 Γ— 50% / 100) / 0.92 = 40.8 kWh Charge time: 40.8 / 2.99 β‰ˆ 13.6 hours Start time: 08:00 - 13.6h - 5min β‰ˆ 18:25 previous day

Workflow Tips

Add new charges: Edit memory/tesla-charge-schedule.json β€” cron picks up changes on next run Plan ahead: Add weeks of charges in advance, script handles date logic One cron job: No need to create separate jobs β€” one daily check does it all See what's next: Each run displays the next scheduled charge date

Parameters

When calling manually with --target-time: python3 scripts/tesla-smart-charge.py \ --target-time "HH:MM" \ --target-battery 100 \ --charger-power 2.99 \ --battery-capacity 75 \ --margin-minutes 5 For schedule-based operation, use --check-schedule (reads from JSON file).

References

CRON_SETUP.md - Full cron integration guide API_REFERENCE.md - Advanced parameters and formulas tesla-charge-schedule-example.json - Schedule file template

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

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Package contents

Included in package
4 Docs1 Config1 Files
  • SKILL.md Primary doc
  • CHANGELOG.md Docs
  • references/api_reference.md Docs
  • references/cron_setup.md Docs
  • references/tesla-charge-schedule-example.json Config
  • README.txt Files