AI Infrastructure · PyPI

acis2llm

Agent-friendly helpers for the xmACIS2Py climate library — station discovery, multi-station fetch, and seasonal/monthly composites. Ships with the acis-weather skill.

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Details

Author
yenba
GitHub profile
@yenba
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/yenba/acis2LLM
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@yenba

Overview

Agent-friendly helpers for the xmACIS2Py climate library — station discovery, multi-station fetch, and seasonal/monthly composites. Ships with the acis-weather skill.

Quick start

pip

pip install acis2llm

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What acis2llm can do

agentllmagent-skill
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Agent Skill — agent-skill task automation.

Frequently asked questions

What is acis2llm?
Agent-friendly helpers for the xmACIS2Py climate library — station discovery, multi-station fetch, and seasonal/monthly composites. Ships with the acis-weather skill.
How do I install acis2llm?
Use pip: `pip install acis2llm`. Full setup details on the source page linked above.
Is acis2llm open source?
acis2llm is published on PyPI.
What are alternatives to acis2llm?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for acis2llm is sourced from PyPI, published by yenba.

Last scraped: · First indexed:

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