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SKILL verified MIT Self-run

Compose Python Stack

skill-leynier-python-template-compose-python-stack · by leynier

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.

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Install

$ agentstack add skill-leynier-python-template-compose-python-stack

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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 , 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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.