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timesfm-forecasting

Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.

0 downloads 4 views Updated Oct 31, 2026 v1.0.0
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Overview

Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.

Source: https://github.com/DenDen047/claude-scientific-skills · APACHE-2.0 LICENSE · © 2025 K-Dense Inc.

System prompt

Preview redacted

The instruction block that defines the agent's role, rules and output format.

system-prompt.txt 
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User prompt template

Fill in the variables and send it to run the skill: {{variables}}

user-template.txt 
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Variables

Name Required Description Example

Full skill configuration

Redacted preview

The standard .aiskill file in JSON and YAML.

timesfm-forecasting.aiskill (JSON) 
{
  "format": "aiskill/v1",
  "skill": {
    "name": "timesfm-forecasting",
    "slug": "timesfm-forecasting",
    "version": "1.0.0",
    "description": "Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.",
    "category": "Research",
    "tags": [
      "research-science"
    ],
    "platforms": [
      "chatgpt",
      "claude-code",
      "cursor"
    ],
    "tested_environment": "Agent Skills convention (SKILL.md) — works with Claude Code, Cursor, ChatGPT/Codex and compatible agents",
    "license": "APACHE-2.0 LICENSE"
  },
  "prompts": {
    "system": "████████████████████████████████████████████████████████████████████████████████████████████████",
    "user_template": "██████████"
  },
  "variables": [],
  "install": {
    "steps": [
      {
        "title": "Download & unzip",
        "detail": "Download the .zip package from SkillVault and unzip it. The timesfm-forecasting/ folder contains SKILL.md plus any companion scripts, references and assets."
      },
      {
        "title": "Copy into your agent skills directory",
        "detail": "Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code), .codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or reload the session."
      },
      {
        "title": "Use it",
        "detail": "Describe the task in natural language; the agent loads the skill automatically when the request matches the skill description."
      }
    ]
  },
  "usage": {
    "steps": []
  },
  "metadata": {
    "author": "SkillVault",
    "source": "https://skillvault.top/skills/timesfm-forecasting",
    "exported_at": "2026-11-03T07:43:12.393Z"
  }
}
timesfm-forecasting.aiskill (YAML) 
format: aiskill/v1
skill:
  name: timesfm-forecasting
  slug: timesfm-forecasting
  version: 1.0.0
  description: >-
    Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate
    time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports
    CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight
    system checker script to verify RAM/GPU before first use.
  category: Research
  tags:
    - research-science
  platforms:
    - chatgpt
    - claude-code
    - cursor
  tested_environment: >-
    Agent Skills convention (SKILL.md) — works with Claude Code, Cursor, ChatGPT/Codex and
    compatible agents
  license: APACHE-2.0 LICENSE
prompts:
  system: ████████████████████████████████████████████████████████████████████████████████████████████████
  user_template: ██████████
variables: []
install:
  steps:
    - title: Download & unzip
      detail: >-
        Download the .zip package from SkillVault and unzip it. The timesfm-forecasting/ folder
        contains SKILL.md plus any companion scripts, references and assets.
    - title: Copy into your agent skills directory
      detail: >-
        Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code),
        .codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or
        reload the session.
    - title: Use it
      detail: >-
        Describe the task in natural language; the agent loads the skill automatically when the
        request matches the skill description.
usage:
  steps: []
metadata:
  author: SkillVault
  source: https://skillvault.top/skills/timesfm-forecasting
  exported_at: "2026-11-03T07:43:12.393Z"

Installation guide

  1. 1

    Download & unzip

    Download the .zip package from SkillVault and unzip it. The timesfm-forecasting/ folder contains SKILL.md plus any companion scripts, references and assets.

  2. 2

    Copy into your agent skills directory

    Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code), .codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or reload the session.

  3. 3

    Use it

    Describe the task in natural language; the agent loads the skill automatically when the request matches the skill description.

How to use

Platform compatibility

ChatGPT GPTs

OpenAI

Paste the system prompt into the GPT "Instructions" field and keep the user template as your starter message.

Official docs

Claude Code

Anthropic

Save the exported .aiskill JSON as a skill file in your project or paste the system prompt into CLAUDE.md / a slash-command markdown file.

Official docs

Cursor

Anysphere

Copy the system prompt into .cursor/rules/*.mdc (or Project Rules in Settings) and reference the user template in your agent prompts.

Official docs

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