What is ladder-execute?
Executes a Ladder phase spec step-by-step with commit discipline and progress tracking. Use when ready to implement a spec, resume an interrupted phase, or when the user says "ladder execute." Source: sadiksaifi/agents.
Executes a Ladder phase spec step-by-step with commit discipline and progress tracking. Use when ready to implement a spec, resume an interrupted phase, or when the user says "ladder execute."
Quickly install ladder-execute AI skill to your development environment via command line
Source: sadiksaifi/agents.
Implement a phase spec one step at a time with plan mode, commit discipline, progress tracking, subagent delegation, and mid-session resume.
| Input | Spec file path (.ladder/specs/L- - .md) | | Output | Implemented code, updated progress.md, commits per step | | Commits | type(L -S ): description per step, chore(L ): complete phase execution at end | | Prerequisites | .ladder/OVERVIEW.md, canonical spec, entry criteria met | | Delegation | medium + large steps → sub-agent; small steps → inline |
SPEC VALIDATION: Before executing, validate spec against ALL 5 rules from references/spec-format.md. If any rule fails → print failures and say "Run /ladder-refine first." STOP.
Executes a Ladder phase spec step-by-step with commit discipline and progress tracking. Use when ready to implement a spec, resume an interrupted phase, or when the user says "ladder execute." Source: sadiksaifi/agents.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/sadiksaifi/agents --skill ladder-executeExecutes a Ladder phase spec step-by-step with commit discipline and progress tracking. Use when ready to implement a spec, resume an interrupted phase, or when the user says "ladder execute." Source: sadiksaifi/agents.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/sadiksaifi/agents --skill ladder-execute 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/sadiksaifi/agents