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compose-python-stack

Design and generate a compatible project from the Python Template component layers or presets. Use when choosing a workload, framework, AI providers, data engines, interfaces, training and serving tools, deployment target, or IaC option; also use when a user wants a simple librar

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Prix non confirmé★ 37 Stars GitHubRegistre mis à jour · 10 sept. 2026agent-skill

Vue d’ensemble

Compose Python Stack

Turn a product goal into a supported stack, explain the consequential choices, and generate it with Copier.

Workflow

Read docs/reference/presets.md and docs/reference/components.md. When exact compatibility matters, also read catalog/generated/catalog.json.
Ask only about choices that change the architecture. Prefer one of the documented presets when it is close; otherwise select custom and compose the layers.
Keep model and embedding providers independent. Select at most one provider for each data role. Do not add AI to a simple library, Typer CLI, or FastAPI/Flask API unless requested.
Select one deployment target. Docker is the portable base for deployed projects; select either no IaC, Pulumi, or Terraform where the chosen target supports it.
Generate into a new directory with copier copy gh:leynier/python-template <destination>, answering interactively. For automation, pass explicit values with repeated -d key=value arguments.
Enter the generated directory and run uv sync --all-groups, uv run pytest, uv run ruff check ., and uv run ruff format --check ..
Report the selected layers, generated entry points, required environment variables, and any cloud resources the user must configure.

Guardrails

Treat catalog compatibility rules as authoritative; do not force an invalid combination.
Preserve the first-class python-library, typer-cli, and fastapi-api paths.
Prefer Python 3.12 or newer and uv for environment and command execution.
Never deploy, create paid resources, or write credentials unless the user explicitly authorizes that action.

Voir la source ↗

Métadonnées du fichier

name: compose-python-stack
description: Design and generate a compatible project from the Python Template component layers or presets. Use when choosing a workload, framework, AI providers, data engines, interfaces, training and serving tools, deployment target, or IaC option; also use when a user wants a simple library, CLI, or API without AI.

Voir le texte original

---
name: compose-python-stack
description: Design and generate a compatible project from the Python Template component layers or presets. Use when choosing a workload, framework, AI providers, data engines, interfaces, training and serving tools, deployment target, or IaC option; also use when a user wants a simple library, CLI, or API without AI.
---

# Compose Python Stack

Turn a product goal into a supported stack, explain the consequential choices, and generate it with Copier.

## Workflow

1. Read `docs/reference/presets.md` and `docs/reference/components.md`. When exact compatibility matters, also read `catalog/generated/catalog.json`.
2. Ask only about choices that change the architecture. Prefer one of the documented presets when it is close; otherwise select `custom` and compose the layers.
3. Keep model and embedding providers independent. Select at most one provider for each data role. Do not add AI to a simple library, Typer CLI, or FastAPI/Flask API unless requested.
4. Select one deployment target. Docker is the portable base for deployed projects; select either no IaC, Pulumi, or Terraform where the chosen target supports it.
5. Generate into a new directory with `copier copy gh:leynier/python-template <destination>`, answering interactively. For automation, pass explicit values with repeated `-d key=value` arguments.
6. Enter the generated directory and run `uv sync --all-groups`, `uv run pytest`, `uv run ruff check .`, and `uv run ruff format --check .`.
7. Report the selected layers, generated entry points, required environment variables, and any cloud resources the user must configure.

## Guardrails

- Treat catalog compatibility rules as authoritative; do not force an invalid combination.
- Preserve the first-class `python-library`, `typer-cli`, and `fastapi-api` paths.
- Prefer Python 3.12 or newer and `uv` for environment and command execution.
- Never deploy, create paid resources, or write credentials unless the user explicitly authorizes that action.

Examiner la source

Prix et coûts d’utilisation

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Licence: MIT
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

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Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Low GitHub adoption signal
L’approbation de revue IA est absente
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 37 GitHub stars
Stars/forks activity: 37 stars, 1 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéContrôle statique

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: leynier/python-template
Licence: MIT
Version: Unknown
Dernier push GitHub: 3 sept. 2026
Registre mis à jour: 10 sept. 2026
Chemin des instructions: skills/compose-python-stack/SKILL.md @ 10a6487d5354

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

54/100

Revue nécessaire

Confiance

58/100

Do not auto-install

Audit

69/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Low GitHub adoption signal
L’approbation de revue IA est absente
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 37 GitHub stars
Stars/forks activity: 37 stars, 1 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Résultats: —

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Plus de détails

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Créateur: leynier
Source: leynier/python-template
Indexé par: Index communautaire OpenAgentSkill

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