FreePublished on GitHub

chronos-forecasting

Use Chronos Forecasting for pretrained time-series forecasting, Chronos-2 covariates, data validation, fine-tuning, evaluation, and deployment planning.

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

VectorSpaceLab/AREX-Skill

See how to install

Files included (28)

SKILL.md3.8 KB
references/installation-and-environment.md3.3 KB
references/model-overview.md3.3 KB
references/repo-provenance.md2.0 KB
references/repo-routing-metadata.json345 B
references/troubleshooting.md3.7 KB
scripts/chronos_api_smoke.py4.7 KB
sub-skills/chronos-2-forecasting/references/api-reference.md11.5 KB
sub-skills/chronos-2-forecasting/references/troubleshooting.md10.1 KB
sub-skills/chronos-2-forecasting/references/workflows.md9.5 KB
sub-skills/chronos-2-forecasting/scripts/chronos2_smoke_forecast.py8.1 KB
sub-skills/chronos-2-forecasting/SKILL.md2.4 KB
sub-skills/chronos-bolt-and-original/references/api-reference.md13.1 KB
sub-skills/chronos-bolt-and-original/references/troubleshooting.md8.2 KB
sub-skills/chronos-bolt-and-original/references/workflows.md9.0 KB
sub-skills/chronos-bolt-and-original/scripts/bolt_original_smoke.py8.6 KB
sub-skills/chronos-bolt-and-original/SKILL.md2.7 KB
sub-skills/data-formats-and-validation/references/data-formats.md3.7 KB
sub-skills/data-formats-and-validation/references/preprocessing-api-reference.md4.6 KB
sub-skills/data-formats-and-validation/references/troubleshooting.md3.8 KB
sub-skills/data-formats-and-validation/scripts/validate_chronos_dataframe.py19.8 KB
sub-skills/data-formats-and-validation/SKILL.md1.7 KB
sub-skills/training-evaluation-deployment/references/sagemaker-deployment.md5.3 KB
sub-skills/training-evaluation-deployment/references/training-evaluation.md10.1 KB
sub-skills/training-evaluation-deployment/references/troubleshooting.md4.2 KB
sub-skills/training-evaluation-deployment/scripts/aggregate_relative_scores.py3.9 KB
sub-skills/training-evaluation-deployment/scripts/chronos2_fit_smoke_template.py4.5 KB
sub-skills/training-evaluation-deployment/SKILL.md1.4 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Chronos Forecasting repo skill

Use this repo skill when a task involves the chronos-forecasting package, Chronos-2, Chronos-Bolt, original Chronos/T5 time-series forecasting models, probabilistic forecast quantiles, pandas long-format time-series data, covariates, predict_df, predict_fev, fine-tuning, benchmark evaluation, or deployment planning.

Install and import check

Base install:

pip install chronos-forecasting

Minimal import check:

import chronos
from chronos import BaseChronosPipeline, Chronos2Pipeline, ChronosBoltPipeline, ChronosPipeline
print(chronos.__version__)

Read references/installation-and-environment.md before choosing optional extras, GPU wheels, cloud dependencies, or benchmark/training dependencies. Run scripts/chronos_api_smoke.py for a safe import/signature/backend smoke that does not download models by default.

Choose the route

User task	Read
Chronos-2 zero-shot forecasting, multivariate/covariate prediction, `Chronos2Pipeline`, `predict`, `predict_quantiles`, `predict_df`, embeddings, long horizons, or model loading	sub-skills/chronos-2-forecasting/
DataFrame schema repair, timestamp frequency, future covariate alignment, list-of-dicts validation, preprocessing helpers, or target leakage checks	sub-skills/data-formats-and-validation/
Chronos-Bolt or original Chronos/T5 models, direct quantile vs sample forecasts, univariate tensor/list inputs, or family selection among older model IDs	sub-skills/chronos-bolt-and-original/
Chronos-2 fine-tuning/LoRA, original training configs, KernelSynth, fev evaluation, aggregate relative scores, SageMaker/cloud deployment, or side-effecting benchmark/training plans	sub-skills/training-evaluation-deployment/

Shared references:

Model family comparison and public model IDs: references/model-overview.md
Installation, optional dependencies, CPU/GPU policy, and safe helper list: references/installation-and-environment.md
Cross-cutting failures for imports, loading, optional extras, backend mismatch, and side-effecting workflow gates: references/troubleshooting.md
Source snapshot and refresh baseline: references/repo-provenance.md

Operating guardrails

Prefer BaseChronosPipeline.from_pretrained(...) when the model anchor may be any Chronos family, then inspect type(pipeline).__name__ before calling family-specific APIs.
Do not trigger Hugging Face downloads, S3 downloads, dataset downloads, SageMaker endpoint creation, model training, or hub pushes unless the user explicitly asks and supplies the needed model/data/credential/budget context.
Keep prediction_length, quantile_levels, batch_size, context_length, device_map, and dtype explicit in reproducible snippets.
Validate pandas schemas before disabling validate_inputs or accepting a future_df with known-future covariates.
Do not claim GPU, cloud, or benchmark verification from a CPU import smoke. Record those as optional/unverified unless actually executed.
When using this skill for a different checkout, read references/repo-provenance.md; refresh if the commit, package version, public APIs, or evidence paths changed.

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Install

Install with a command

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

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/chronos-forecasting

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/chronos-forecasting/ for Claude Code, or ~/.agents/skills/chronos-forecasting/ 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: 339
Forks: 26
Category: DevOps
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.