Detect intent and route feature work through planning, implementation, and validation.
npx skills add https://github.com/haidonglethqb/CloudSchool --skill cook-haidonglethqb
Please help me install this Agent Skill. Skill: cook Source: https://github.com/haidonglethqb/CloudSchool/tree/main/.claude/skills/cook Command: npx skills add https://github.com/haidonglethqb/CloudSchool --skill cook-haidonglethqb
The Cook skill orchestrates end-to-end feature implementation by automating intent detection and routing work through planning, coding, testing, and finalization, solving the heavy coordination burden in software projects.
Invoke the Cook skill with a natural language task to start an end-to-end feature implementation workflow.
High-intent search queries and answers about installing and using this skill.
End-to-end feature implementation is automated by detecting user intent and routing work through planning, coding, testing, and finalization phases using subagent orchestration and gate-controlled progress.
Subagent orchestration delegates feature tasks to specialized researchers, planners, testers, code reviewers, and project managers, ensuring traceable task status and automated gating throughout the workflow.
Intent detection automatically selects workflow modes such as interactive, fast, auto, parallel, or code modes based on the natural language task provided at invocation.
Mandatory review and finalization gates are enforced through automated gate-controlled progress, ensuring traceable task status and explicit subagent delegation during feature implementation.
Automated task management applies across multi-modal workflows, coordinating research, planning, UI work, testing, and finalization for complex software projects through intent-driven routing.
Explicit subagent delegation is required to coordinate end-to-end feature work, enabling automated gating and traceable progress via Claude Task-like orchestration across complex software projects.
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