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munlucky

implementation-runner is a skill that automates code implementation by checking requirements, defining change scope, and recording changes in repository files.

Atlas-Memory-Framework

Cursor Skills & SubAgents developed for developing AtlasMemory

munlucky

implementation-runner is a skill that automates the implementation process for AI agents, using inputs like analysisContext and repo data to define and record changes

obra

Use when implementing any feature or bugfix, before writing implementation code

n8n-io

spec-driven-development is a methodology that ensures implementation and specs remain in sync, facilitating efficient development and reducing errors.

obra

subagent-driven-development is a technique that leverages fresh subagents for independent tasks, ensuring spec compliance and code quality through a two-stage review process.

obra

writing-plans is a skill that generates comprehensive implementation plans for multi-step tasks, assuming zero context and questionable taste, to help developers work efficiently.

obra

executing-plans is a specialized AI agent skill for automating task execution based on predefined plans, enhancing development productivity and accuracy.

obra

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification

obra

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

mhylle

Custom skills and agents for Claude Code - codebase research, context management, and implementation planning workflows

chrispangg

custom-frontend-design is a Deep Agent Harness framework that builds distinctive frontend interfaces using Vercel's AI SDK v6, focusing on aesthetic details and creative choices.