Break down complex tasks into atomic, actionable goals with clear dependencies and success criteria. Use when planning multi-step projects, coordinating agents, or decomposing complex requests.
Quickly install task-decomposition AI skill to your development environment via command line
Source: d-o-hub/rust-self-learning-memory.
Break down complex tasks into atomic, actionable goals with clear dependencies.
| Sequential | A → B → C | B needs A's output | | Parallel | A─┐ B─┐ C─┘ | Independent, concurrent | | Converging | A─┐ B─┼─> D | D needs A, B, C | | Resource | A, B | Sequential or pooled |
| Layer-Based | Architectural changes (data, logic, API, test, docs) | | Feature-Based | New features (MVP, error handling, optimization, integration) | | Phase-Based | Large projects (research, foundation, core, integration, polish) | | Problem-Solution | Debugging (reproduce, diagnose, design, fix, verify, prevent) |
Break down complex tasks into atomic, actionable goals with clear dependencies and success criteria. Use when planning multi-step projects, coordinating agents, or decomposing complex requests. Source: d-o-hub/rust-self-learning-memory.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/d-o-hub/rust-self-learning-memory --skill task-decompositionBreak down complex tasks into atomic, actionable goals with clear dependencies and success criteria. Use when planning multi-step projects, coordinating agents, or decomposing complex requests. Source: d-o-hub/rust-self-learning-memory.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/d-o-hub/rust-self-learning-memory --skill task-decomposition Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/d-o-hub/rust-self-learning-memory