القائمة
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.
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.
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.
Generates academic/technical writeups with IEEE citations and pandoc PDF output. Use when creating research papers, technical reports, or documentation with references.
| name | designing-backend |
| description | 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. |
| compatibility | Designed for Claude Code |
| metadata | {"argument-hint":["component-name"],"context":"fork","agent":"Explore","allowed-tools":"Read, Grep, Glob, WebSearch, WebFetch"} |
git log --oneline -3git branch --show-currentTarget: $ARGUMENTS
Creates focused, streamlined backend system designs matching stated requirements exactly. No over-engineering.
Simple Processing: Basic functions, lightweight integration, existing patterns Complex Systems: Multi-tiered pipelines, PydanticAI orchestration, async patterns Performance targets: <1s simple operations, scalable for complex systems
Simple Tasks: Single focused backend specification Complex Tasks: Multiple targeted architecture files All outputs: Concise, streamlined, no unnecessary complexity