Structured workflow for taking features from backlog to implementation. Use when picking tasks, refining PRDs, planning implementation, or implementing features. Invokes specialized agents: triager, refiner, planner, implementer, conductor.
Quickly install backlog AI skill to your development environment via command line
Source: miguelalcalde/agentfiles.
A structured workflow for taking features from backlog to implementation using specialized agents.
Manual mode: Each step is human-triggered. Agents do not auto-chain.
Conductor mode: Run the conductor workflow to orchestrate all phases automatically until complete or blocked.
Structured workflow for taking features from backlog to implementation. Use when picking tasks, refining PRDs, planning implementation, or implementing features. Invokes specialized agents: triager, refiner, planner, implementer, conductor. Source: miguelalcalde/agentfiles.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/miguelalcalde/agentfiles --skill backlogStructured workflow for taking features from backlog to implementation. Use when picking tasks, refining PRDs, planning implementation, or implementing features. Invokes specialized agents: triager, refiner, planner, implementer, conductor. Source: miguelalcalde/agentfiles.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/miguelalcalde/agentfiles --skill backlog 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/miguelalcalde/agentfiles