Garch Method
milesdeutscher/garchmethod
Volatility forecasting and position sizing via walk-forward GARCH(1,1).
A skill your agent uses for Informer2020 long-sequence time-series forecasting training, evaluation, custom CSV preparation, and prediction workflows.
Install Informer2020
$ npx skills add VectorSpaceLab/AREX-Skill --skill informer2020 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill informer2020 --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/informer2020 .claude/skills/informer2020 && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "informer2020" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/informer2020 into .claude/skills/informer2020/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "informer2020", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/informer2020Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add VectorSpaceLab/AREX-Skill --skill informer2020 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill informer2020 --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/informer2020 .agents/skills/informer2020 && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "informer2020" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/informer2020 into .agents/skills/informer2020/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "informer2020", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill informer2020 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill informer2020 --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/informer2020 .cursor/skills/informer2020 && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "informer2020" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/informer2020 into .cursor/skills/informer2020/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "informer2020", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/informer2020--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add VectorSpaceLab/AREX-Skill --skill informer2020 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill informer2020 --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/informer2020 .gemini/skills/informer2020 && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "informer2020" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/informer2020 into .gemini/skills/informer2020/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "informer2020", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install VectorSpaceLab/AREX-Skill informer2020Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add VectorSpaceLab/AREX-Skill --skill informer2020 -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/informer2020 .github/skills/informer2020 && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "informer2020" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/informer2020 into .github/skills/informer2020/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "informer2020", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill informer2020 -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill informer2020 --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/informer2020 .opencode/skills/informer2020 && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "informer2020" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/informer2020 into .opencode/skills/informer2020/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "informer2020", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
informer2020- GitHub stars
- 330
- Token cost
- ~1.1k tokens
- SKILL.md length
- 441 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 159
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses for Informer2020 long-sequence time-series forecasting training, evaluation, custom CSV preparation, and prediction workflows.
- Works in 4 steps: Confirm the checkout contains the… → Prepare a Python environment with… → Run a minimal import check from the… → …
- Informer2020 long-sequence time-series forecasting training
- SKILL.md covers First checks, Route by task, Bundled helpers and Key behavior to remember, plus 1 more section
- Runs Python scripts from its folder; calls python
What it does
Informer2020 is an agent skill from VectorSpaceLab/AREX-Skill. Use for Informer2020 long-sequence time-series forecasting training, evaluation, custom CSV preparation, and prediction workflows.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `references/install.md`, `references/repo-provenance.md` and `references/repo-routing-metadata.json`).
It sits in Data & Analytics, covering Forecasting and time series and CSV and tabular files. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is Apache-2.0.
When your agent uses it
- Informer2020 long-sequence time-series forecasting training
- Custom CSV preparation
- Prediction workflows
Example prompts
- “/informer2020”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Confirm the checkout contains the Informer2020 source modules (models, data, exp, utils) and the forecasting launcher.
- Prepare a Python environment with PyTorch, NumPy, pandas, and the documented scientific stack. For exact historical reproduction, prefer…
- Run a minimal import check from the checkout or with the checkout on PYTHONPATH
- For a safe custom-data proof, generate and validate a tiny CSV before any long training run.
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Informer2020 loads about 1.1k tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 441 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its Apache-2.0 licence (© VectorSpaceLab). 441 words, ~1,053 tokens.
Download SKILL.mdSave it as
.claude/skills/informer2020/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- informer2020
- description
- Use for Informer2020 long-sequence time-series forecasting training, evaluation, custom CSV preparation, and prediction workflows.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- Apache 2.0
Informer2020
Use this repo skill when a task involves the Informer2020 PyTorch implementation for long-sequence time-series forecasting: training/testing Informer or InformerStack, reproducing benchmark-style runs, preparing a custom time-series CSV, or running future prediction.
This is a source-style research repository, not a normal installable package. Treat the generated skill as the operating manual and use the bundled helpers below instead of reopening or executing original repo scripts directly.
First checks
- Confirm the checkout contains the Informer2020 source modules (
models,data,exp,utils) and the forecasting launcher. - Prepare a Python environment with PyTorch, NumPy, pandas, and the documented scientific stack. For exact historical reproduction, prefer the repository's legacy pins; for smoke validation, run the bundled helpers first.
- Run a minimal import check from the checkout or with the checkout on
PYTHONPATH:
python - <<'PY'
from models.model import Informer, InformerStack
from data.data_loader import Dataset_Custom, Dataset_Pred
print('Informer2020 imports OK')
PY- For a safe custom-data proof, generate and validate a tiny CSV before any long training run.
Route by task
| User task | Read |
|---|---|
| Train/test Informer or InformerStack, choose attention/model lengths, adapt benchmark presets, inspect metrics/checkpoints, or debug runtime training failures | sub-skills/training-and-evaluation/SKILL.md |
Prepare a custom CSV, choose S/M/MS, validate target/cols/freq, run do_predict, or debug data-loader/prediction output issues | sub-skills/custom-data-and-prediction/SKILL.md |
| Set up dependencies, understand legacy version pins, or decide CPU/CUDA behavior | references/install.md |
| Debug cross-cutting install, import, data, backend, or helper-script failures | references/troubleshooting.md |
| Check source snapshot and evidence paths before deciding whether the skill is stale | references/repo-provenance.md |
Bundled helpers
scripts/make_tiny_forecast_csv.py: create a deterministic custom forecasting CSV with adatecolumn, covariates, and a target.scripts/check_forecast_csv.py: validate custom CSV columns, feature mode, row counts, and frequency before launch.scripts/run_forecasting_smoke.py: generate a tiny fixture and dry-run or execute a short train/test/predict smoke command from a checkout.
Use the helpers for validation and smoke checks; use the sub-skills for larger runs and task-specific interpretation.
Show full SKILL.md (152 more words)Show less
Key behavior to remember
- The forecasting launcher trains and tests for every repeat; prediction is an extra branch enabled by
do_predict. - Built-in dataset names override CSV file name, target, and tensor widths. Custom data requires you to set dimensions yourself.
M,S, andMSchange both loader behavior and output width.- The code auto-selects CUDA when visible. To force CPU reliably, hide CUDA or use the smoke helper's CPU backend option rather than relying on a string
Falsevalue. - Output directories are fingerprinted by the run setting. Checkpoints, metrics, test predictions, and future predictions are different files.
Avoid this skill when
- The task is about a different forecasting library or a general time-series theory question with no Informer2020 implementation surface.
- The task is repository maintenance unrelated to forecasting workflows; use a repository-maintenance skill instead.
- The user needs a production forecasting service, model registry, or MLOps deployment stack rather than this research implementation.
© VectorSpaceLab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 8 other files (scripts, references) in skills/repositories/repo-skills/informer2020 of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/install.md
- references/repo-provenance.md
- references/repo-routing-metadata.json
- references/troubleshooting.md
- scripts/check_forecast_csv.py
- scripts/make_tiny_forecast_csv.py
- scripts/run_forecasting_smoke.py
- sub-skills
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Informer2020 next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Informer2020 this skillVectorSpaceLab/AREX-Skill | 330 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Garch Methodmilesdeutscher/garchmethod | 191 | — | ~1k | Automated safety check: Pass | MIT | |
| Exploring Dataoaustegard/claude-skills | 150 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Visual Skillsnpc-live/clawfirm | 156 | — | ~7.4k | Automated safety check: Pass | None | |
| Regimejackson-video-resources/markov-hedge-fund-method | 483 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Informer2020
What does Informer2020 do?
A skill your agent uses for Informer2020 long-sequence time-series forecasting training, evaluation, custom CSV preparation, and prediction workflows. Informer2020 is an agent skill from VectorSpaceLab/AREX-Skill. Use for Informer2020 long-sequence time-series forecasting training, evaluation, custom CSV preparation, and prediction workflows.
When should I use Informer2020?
Informer2020 fits situations like: informer2020 long-sequence time-series forecasting training; custom CSV preparation; prediction workflows.
How do I install Informer2020 in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill informer2020 -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/informer2020 in VectorSpaceLab/AREX-Skill) into .claude/skills/informer2020 in your project. Claude Code loads it when a task matches its description.
How do I install Informer2020 in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill informer2020 -a codex`. Or copy the skill folder (skills/repositories/repo-skills/informer2020 in VectorSpaceLab/AREX-Skill) into .agents/skills/informer2020 in your project. Codex loads it when a task matches its description.
Can I use Informer2020 in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill informer2020 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/informer2020, .gemini/skills/informer2020, .github/skills/informer2020 and .opencode/skills/informer2020 in your project.
What does Informer2020 need to run?
Going by SKILL.md and its folder, Informer2020 needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Informer2020 access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Informer2020 safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Informer2020 use?
Informer2020 is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Informer2020 use?
About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.
What are the alternatives to Informer2020?
Skills that share tags, products or a category with Informer2020: Garch Method (milesdeutscher/garchmethod, 191 stars), Exploring Data (oaustegard/claude-skills, 150 stars), Visual Skills (npc-live/clawfirm, 156 stars) and Regime (jackson-video-resources/markov-hedge-fund-method, 483 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Informer2020?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.