LogoClawIndex
CasesSkillsAbout
LogoClawIndex

ClawIndex

OpenClaw Skills & Use Case Index

ClawIndex is an ecosystem-driven index of OpenClaw skills and real-world use cases.

Index

Skills·
Cases

Meta

About·
Disclaimer·
Email·
GitHub
© 2026 ClawIndex All Rights Reserved.

amc-run-sample-calibration - Calibrate AMC with the bundled sample dataset

Runs end-to-end calibration on the bundled sample dataset against a running AMC microservice and reports evaluation metrics.

Tags

Updated: 2026-09-28

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Detect running AMC backend
  • Extract sample calibration data
  • Create calibration project
  • Upload sample files
  • Run AMC calibration
  • Poll project status
  • Report evaluation metrics
  • Attempt VGGT refinement

Inputs

  • AMC microservice
  • AutoMagicCalib checkout
  • Sample dataset ZIP
  • Backend port
  • Python environment

Outputs

  • Calibration project
  • Calibration status
  • Evaluation metrics
  • VGGT refinement status
  • Manual inspection UI URL

Requirements

  • AMC microservice running on port 8000-8009
  • Sample ZIP available at assets/sdg_08_2_sample_data_010926.zip
  • Python 3 with requests or Swagger UI access
  • Access to the AutoMagicCalib checkout

Source

  • Spec: SKILL.md
amc
calibration
sample
rest-api
validation
python
Detect running AMC backend
Extract sample calibration data
Create calibration project
Upload sample files
AMC microservice
AutoMagicCalib checkout
Sample dataset ZIP
Calibration project
Calibration status
Evaluation metrics