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install

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Mis à jour20 mai 2026 à 13:08

Use this skill if the required tools are not yet installed.

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

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int-brain-lab

int-brain-lab/ibl-ai-agent

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Basé sur la classification professionnelle SOC

Développeurs de logicielsProfessions informatiques et mathématiques·SOC 15-1252

SKILL.md

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name	install
description	Use this skill if the required tools are not yet installed.

Preflight and Installation

Before the first research, report-writing, or publishing task in a fresh checkout, run a small setup preflight yourself. Check for a usable Python, uv, a project environment, core Python imports, Quarto for report rendering, Git/GitHub CLI for publishing, GitHub authentication when publishing is requested, and configured IBL data access or local dataset paths when data loading is needed.
If any of these items are missing STOP, do not proceed to scientific analyses. Even if the user has asked a scientific question, do not proceed with scientific analyses unless the user gives you explicit instructions to do so rather than completing installation.
Instead, interactively lead the user through installation of missing items, using uv unless explicitly instructed otherwise. Explain the missing item(s) and offer to install or configure them. Use tool calls to run the needed commands after approval when network, package installation, or external authentication is required.
Prefer uv for project setup. If uv is missing but Python is available, offer to install uv, then run UV_CACHE_DIR=.uv-cache uv sync --extra ibl --extra notebook --extra dev. Use uv run ... for project commands once the environment exists. Do not recommend plain pip install -e . as the primary setup path because brainwidemap is resolved through uv sources.
Verify Quarto, git, gh, and gh auth status, which are required for report publication.
For some packages such as Quarto, git, and gh, automatic installation may be difficult. In such cases, guide the user to appropriate websites to manually download and install what is needed.
If the BWM data shards are not yet present, ask the user if these files are already present on disk. If so, edit data_locations.local.yaml to point to them; if not, ask the user for a location to download to (defaulting to data/ within the current repo), download, then edit data_locations.local.yaml.

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Preflight and Installation

Before the first research, report-writing, or publishing task in a fresh checkout, run a small setup preflight yourself. Check for a usable Python, uv, a project environment, core Python imports, Quarto for report rendering, Git/GitHub CLI for publishing, GitHub authentication when publishing is requested, and configured IBL data access or local dataset paths when data loading is needed.

If any of these items are missing STOP, do not proceed to scientific analyses. Even if the user has asked a scientific question, do not proceed with scientific analyses unless the user gives you explicit instructions to do so rather than completing installation.

Instead, interactively lead the user through installation of missing items, using uv unless explicitly instructed otherwise. Explain the missing item(s) and offer to install or configure them. Use tool calls to run the needed commands after approval when network, package installation, or external authentication is required.

Prefer uv for project setup. If uv is missing but Python is available, offer to install uv, then run UV_CACHE_DIR=.uv-cache uv sync --extra ibl --extra notebook --extra dev. Use uv run ... for project commands once the environment exists. Do not recommend plain pip install -e . as the primary setup path because brainwidemap is resolved through uv sources.

Verify Quarto, git, gh, and gh auth status, which are required for report publication.

For some packages such as Quarto, git, and gh, automatic installation may be difficult. In such cases, guide the user to appropriate websites to manually download and install what is needed.

If the BWM data shards are not yet present, ask the user if these files are already present on disk. If so, edit data_locations.local.yaml to point to them; if not, ask the user for a location to download to (defaulting to data/ within the current repo), download, then edit data_locations.local.yaml.