requesting-code-review
Prepare code for review: self-review, test coverage, and pull request description
Prepare code for review: self-review, test coverage, and pull request description
npx skills add https://github.com/obra/superpowers/tree/main/skills/requesting-code-reviewPrepare code for review: self-review, test coverage, and pull request description
This repo contains 13 individual skills — each has its own dedicated page.
Structured ideation and problem decomposition frameworks
Split work across parallel subagents and coordinate their outputs
Execute a plan step-by-step with checkpoints and verification at each stage
Branch close checklist: tests, commit message, pull request, and review request
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Orchestrate specialized subagents for different parts of a task
Hypothesis-driven debugging loop: observe, hypothesize, test, verify
TDD loop: write the failing test first, implement the minimal change, verify, then refactor
Use git worktrees to run parallel agent sessions on separate branches
Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions
Force a verification pass before any task is marked done
Write structured implementation plans before starting complex tasks
Use when creating new skills, editing existing skills, or verifying skills work before deployment
A skills-driven Agentic Context Engineering workflow for Claude Code.
Pre-built Claude skills, workflow templates, and prompt library templates — companion to The Claude Starter Guide by Chantelle Staples
Automate Supportivekoala tasks via Rube MCP (Composio). Always search tools first for current schemas.
Multi-project coordination skill for Claude Code — spawn persistent agents, assign work via natural language, track progress with shared task boards and inboxes
Test Automation of the parabank demo website. Complemented with Claude skills and agents.
The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input. Powered by Microsoft Agent Framework, Azure Foundry, Azure Cosmos DB, and infrastructure services, it provides a reference application, allowing you to hit the ground running.