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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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Harga belum dikonfirmasi★ 37 Star GitHubDirektori diperbarui · 10 Sep 2026agent-skill

Ringkasan

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.

Lihat sumber ↗

Metadata berkas

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.

Lihat teks asli

---
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.

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Harga dan biaya penggunaan

Dapatkan skill: Harga belum dikonfirmasi
Jalankan: Persyaratan belum dikonfirmasi. Periksa biaya agen, API, dan layanan di sumbernya.
Lisensi: MIT
Harga belum dikonfirmasi: Harga belum dikonfirmasi. Tautan sumber dan instalasi yang ada tetap tersedia.

Gratis diperoleh bukan berarti gratis dijalankan. Harga bukan penilaian keamanan. Kirim informasi harga →

Sumber skill tercatat

Jalur instruksi telah dicatat. Ini bukan uji eksekusi, jaminan keamanan, atau sertifikasi kompatibilitas.

Tinjau sebelum memasang: Hindari pemasangan otomatis

Lisensi: 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
Persetujuan tinjauan AI belum ada
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

Buka audit lengkap

Daftar alat adalah petunjuk metadata, bukan kompatibilitas teruji. Prompt adalah saran.

Mulai dengan tugas kecil

1Baca sumber dan pastikan masukan, keluaran, dependensi, serta izin.
2Minta rencana dari agent. Setujui pengaturan dan biaya sebelum uji terisolasi.
3Periksa hasil dan berkas yang berubah. Laporkan hanya yang dijalankan dan simpan revisi sumber.

Periksa dependensi, kunci API, dan biaya layanan pihak ketiga pada sumber. Repositori publik tidak berarti semua layanan gratis.

Sumber dan catatan penggunaan

TerindeksDiperiksa statis

Metadata dan tinjauan bersifat saran. Popularitas, penemuan sumber, dan keberhasilan eksekusi adalah fakta berbeda.

Repositori sumber: leynier/python-template
Lisensi: MIT
Versi: Unknown
Push GitHub terakhir: 3 Sep 2026
Direktori diperbarui: 10 Sep 2026
Jalur instruksi: skills/compose-python-stack/SKILL.md @ 10a6487d5354

Versi dilaporkan dalam metadata direktori; periksa rilis sumber.

Kualitas

54/100

Perlu ditinjau

Kepercayaan

58/100

Do not auto-install

Audit

69/100

Perlu ditinjau

Buka audit lengkap Lihat laporan evaluasi

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
Persetujuan tinjauan AI belum ada
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: —
Hasil: —

Menyalin bukan memasang. Jumlah instalasi memerlukan laporan berhasil dan bukan jaminan kualitas menyeluruh.

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Buka API pemasangan Format teks LLM Buka Manifest Rencana resolusi otomatis

Detail lainnya

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Untuk kreator

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Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator: leynier
Sumber: leynier/python-template
Diindeks oleh: Indeks komunitas OpenAgentSkill

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