executing-plans
Execute a plan step-by-step with checkpoints and verification at each stage
Execute a plan step-by-step with checkpoints and verification at each stage
npx skills add https://github.com/obra/superpowers/tree/main/skills/executing-plansExecute a plan step-by-step with checkpoints and verification at each stage
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
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
Prepare code for review: self-review, test coverage, and pull request description
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
Engineering-grade skill recipes for LLM agents. 7 structured prompt workflows following the SKILL.md open standard.
Use Gemini from Claude Code to review code or delegate tasks.
Recently updated AI agent skill repository: charlytan22/ai-workflow-setup
🥋 Teach yourself coding in real-time using your own projects with this free, open-source Claude Code plugin for active learning.
Official Ablo plugin for AI coding agents — skills, commands, and MCP for The Collaboration Layer For AI Agents
Local-first operational memory and execution hub for humans and AI agents. Connectors aggregate work signals — GitHub, Slack, Microsoft 365, Box, and more — into a single local store.