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evo

Routes evo trajectory-evaluation workflows for APE/RPE, trajectory I/O, result analysis, configuration, and programmatic usage.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill

See how to install

Files included (37)

SKILL.md2.7 KB
references/repo-provenance.md1.3 KB
references/repo-routing-metadata.json405 B
references/troubleshooting.md3.3 KB
scripts/check_env.py2.8 KB
sub-skills/configuration/references/cli-reference.md3.9 KB
sub-skills/configuration/references/settings.md4.2 KB
sub-skills/configuration/references/troubleshooting.md3.1 KB
sub-skills/configuration/references/workflows.md2.2 KB
sub-skills/configuration/SKILL.md2.1 KB
sub-skills/metrics/references/api-reference.md7.5 KB
sub-skills/metrics/references/troubleshooting.md2.7 KB
sub-skills/metrics/references/workflows.md4.8 KB
sub-skills/metrics/scripts/metric_smoke.py5.1 KB
sub-skills/metrics/SKILL.md1.7 KB
sub-skills/python-api/references/api-reference.md2.5 KB
sub-skills/python-api/references/rerun-and-plotting.md1.8 KB
sub-skills/python-api/references/troubleshooting.md2.0 KB
sub-skills/python-api/references/workflows.md3.0 KB
sub-skills/python-api/scripts/programmatic_api_smoke.py3.6 KB
sub-skills/python-api/SKILL.md1.9 KB
sub-skills/result-analysis/references/api-reference.md2.2 KB
sub-skills/result-analysis/references/cli-reference.md1.6 KB
sub-skills/result-analysis/references/troubleshooting.md1.9 KB
sub-skills/result-analysis/references/workflows.md1.7 KB
sub-skills/result-analysis/scripts/rename_result_estimate.py864 B
sub-skills/result-analysis/scripts/result_smoke.py3.8 KB
sub-skills/result-analysis/SKILL.md1.8 KB
sub-skills/trajectory-data/references/cli-reference.md2.4 KB
sub-skills/trajectory-data/references/data-formats.md2.9 KB
sub-skills/trajectory-data/references/troubleshooting.md2.5 KB
sub-skills/trajectory-data/references/workflows.md2.4 KB
sub-skills/trajectory-data/scripts/check_duplicate_timestamps.py1.5 KB
sub-skills/trajectory-data/scripts/kitti_timestamps_to_tum.py1.8 KB
sub-skills/trajectory-data/scripts/scale_tum_timestamps.py899 B
sub-skills/trajectory-data/scripts/trajectory_io_smoke.py4.1 KB
sub-skills/trajectory-data/SKILL.md2.1 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

evo

Use this skill for the evo Python package, which evaluates odometry and SLAM trajectories, loads and converts trajectory files, compares saved results, manages package settings, and supports programmatic plotting and notebooks.

Install

Python: 3.10 or newer.
Install from a checkout with pip install -e ..
Install from PyPI with pip install evo.
Optional extras only when you need them:
- pip install evo[rerun] for Rerun workflows.
- pip install evo[gui] for the Qt plot backend.
- pip install evo[geo] for map tiles via contextily.

Minimal checks

Import check: python -I -c "import evo; print(evo.__version__)"
Safe helper: python scripts/check_env.py
CLI help: evo --help

Route map

User need	Go here
APE / RPE scoring, alignment, delta selection, result zips	`sub-skills/metrics/SKILL.md`
Trajectory file formats, converters, sync, align, export, bag / MCAP loading	`sub-skills/trajectory-data/SKILL.md`
Saved result comparison, merge, table export, label cleanup	`sub-skills/result-analysis/SKILL.md`
`evo_config`, `evo pkg`, `evo cat_log`, `evo_ipython`	`sub-skills/configuration/SKILL.md`
Custom Python scripts, notebooks, plotting, Rerun, `contextily`	`sub-skills/python-api/SKILL.md`

When to read the bundled references

Read references/repo-provenance.md when you need to know whether this skill still matches the current checkout.
Read references/troubleshooting.md for cross-cutting install/import, optional dependency, backend, and settings problems.
Run scripts/check_env.py when you want a quick import-and-CLI smoke check from an installed environment.

Working rules

Use the sub-skill that matches the user’s primary workflow instead of mixing APE/RPE, trajectory I/O, result comparison, and configuration into one answer.
Treat trajectory and metric helpers as in-place mutators unless the reference says otherwise; copy inputs when you need to preserve originals.
Keep references and scripts self-contained inside this skill tree. Do not rely on the original checkout being present.
If the package or APIs change, compare the checkout against references/repo-provenance.md and refresh the skill when needed.

Reviews

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Comments

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See all skills by VectorSpaceLab

Report a problem with this skill

Install

Install with a command

npx skills add https://github.com/VectorSpaceLab/AREX-Skill --skill evo

Paste it into your terminal and run it (requires Node.js). You can choose which agents to install it for, such as Claude Code or Codex.

Ask your agent

Please install the following Agent Skill.
https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/evo

First review SKILL.md and the bundled files and confirm there is nothing suspicious (such as sending data externally or reading credentials). Then place it in ~/.claude/skills/evo/ for Claude Code, or ~/.agents/skills/evo/ for Codex.

Send this text to Claude Code or Codex as is. It checks the contents before installing.

View source on GitHub

Repository: VectorSpaceLab/AREX-Skill
Stars: 338
Forks: 26
Category: Productivity
License: Apache-2.0
Original language: English
Last updated: Sep 3, 2026

A skill is a set of instructions and scripts for an agent. cccskills does not guarantee that skills are safe. Review the contents before you install.