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SKILL verified Apache-2.0 Self-run

Implementing Python

skill-qte77-claude-code-plugins-implementing-python · by qte77

Implements concise, streamlined Python code matching exact architect specifications. Use when writing Python code, creating modules, or when the user asks to implement features in Python.

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Install

$ agentstack add skill-qte77-claude-code-plugins-implementing-python

✓ 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 →

Verified badge

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo 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

Python Implementation

Target: $ARGUMENTS

Creates focused, streamlined Python implementations following architect specifications exactly. No over-engineering.

Python Standards

See references/python-best-practices.md for comprehensive Python guidelines.

Workflow

  1. Read architect specifications from provided documents
  2. Validate scope - Simple (100-200 lines) vs Complex (500+ lines)
  3. Study existing patterns in src/ structure
  4. Implement minimal solution matching stated functionality
  5. Create focused tests matching task complexity
  6. Run make validate and fix all issues

Implementation Strategy

Simple Tasks: Minimal functions, basic error handling, lightweight dependencies, focused tests

Complex Tasks: Class-based architecture, comprehensive validation, necessary dependencies, full test coverage

Always: Use existing project patterns, pass make validate

Output Standards

Simple Tasks: Minimal Python functions with basic type hints Complex Tasks: Complete modules with comprehensive testing All outputs: Concise, streamlined, no unnecessary complexity

Quality Checks

Before completing any task:

make validate

All type checks, linting, and tests must pass.

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.