القائمة
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.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Compacts verbose context into structured summary. Use after pollution sources (searches, logs, JSON) or at phase milestones.
Create a pull request from the current branch. Analyzes commits, generates title+body from PR template, pauses for approval, then pushes and creates PR. Use after committing changes.
Designs concise, streamlined backend systems matching exact task requirements. Use when planning APIs, data models, system architecture, or when the user requests backend design work.
Audits and aligns project documentation against authority chains (project docs and Claude Code infrastructure). Detects broken references, duplicates, scope creep, and chain breaks. Use when reviewing documentation health, fixing stale references, or enforcing single-source-of-truth.
Interactive Q&A to build UserStory.md from user input. Use when the user wants to create a user story document or start the assisted workflow.
Generates prd.json task tracking file from PRD.md requirements document. Use when initializing Ralph loop or when the user asks to convert PRD to JSON format for autonomous execution.
| name | implementing-python |
| description | 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. |
| compatibility | Designed for Claude Code |
| metadata | {"argument-hint":["feature-name"],"allowed-tools":"Read, Grep, Glob, Edit, Write, Bash, WebSearch, WebFetch"} |
Target: $ARGUMENTS
Creates focused, streamlined Python implementations following architect specifications exactly. No over-engineering.
See docs/best-practices/python-best-practices.md for comprehensive Python guidelines.
src/ structuremake validate and fix all issuesSimple 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
Simple Tasks: Minimal Python functions with basic type hints Complex Tasks: Complete modules with comprehensive testing All outputs: Concise, streamlined, no unnecessary complexity
Before completing any task:
make validate
All type checks, linting, and tests must pass.