
Do In Steps
This is a heavyweight orchestrator for complex, multi-step tasks that you don't want to muddle through yourself. It decomposes your request into sequential subtasks, spins up specialized sub-agents for each one, and runs a meta-judge in parallel to generate evaluation criteria before an LLM-as-a-judge verifies the work. The orchestrator never touches code itself, it just coordinates. You'd reach for this when refactoring sprawls across multiple files with dependencies, or when you need each step validated before the next one starts. It's opinionated about isolation and verification, with strict rules about context passing and a three-retry limit per step. Overkill for simple tasks, but useful when you need confidence that each piece completed correctly before moving forward.
- skills.sh installs
- 1.3K
- GitHub stars
- 1.8K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add neolabhq/context-engineering-kit --skill do-in-steps --agent claude-codeInstalls into .claude/skills of the current project.
Files
do-in-steps
Execute a complex task by decomposing it into sequential subtasks and orchestrating sub-agents to complete each step in order. Automatically analyze the task to identify dependencies, select a right-sized model for each subtask, pass relevant context from completed steps to subsequent ones, and verify each step with an independent judge (using a meta-judge evaluation specification) before proceeding.Sponsors
Details
- Repository
- github.com/neolabhq/context-engineering-kit
- Category
- AI & Agent Building
- First seen
- Jun 3, 2026
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