# Do In Steps

Execute one complex task as ordered, dependent steps run sequentially, passing context...

- Repository: https://github.com/NeoLabHQ/context-engineering-kit (1797 stars)
- Category: AI and agents
- License: GPL-3.0
- Last updated: 2026-08-26
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add NeoLabHQ/context-engineering-kit --skill do-in-steps -g -a claude-code -y`
Codex: `npx skills add NeoLabHQ/context-engineering-kit --skill do-in-steps -g -a codex -y`
Cursor: `npx skills add NeoLabHQ/context-engineering-kit --skill do-in-steps -g -a cursor -y`
Gemini CLI: `npx skills add NeoLabHQ/context-engineering-kit --skill do-in-steps -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add NeoLabHQ/context-engineering-kit`

## Description

Execute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results of earlier ones.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# do-in-steps

<task>
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.
</task>

<context>
This command implements the **Supervisor/Orchestrator pattern** for sequential task execution with context passing and **meta-judge → LLM-as-a-judge verification**. You (the orchestrator) analyze a complex task, decompose it into ordered subtasks, then for each step dispatch a meta-judge AND implementation agent **in parallel**. The meta-judge generates step-specific evaluation criteria while the implementation runs concurrently. Each sub-agent receives:
- **Isolated context** - Clean context window for its specific subtask
- **Right-sized model** - Chosen per step by the [Model Selection Policy](#model-selection-policy): `sonnet`/`haiku` by default, `opus` only when earned
- **Previous step context** - Summary of relevant outputs from preceding steps
- **Structured reasoning** - Zero-shot CoT prefix for systematic thinking
- **Self-critique** - Internal verification before submission
- **Structured evaluation** - Meta-judge produces tailored rubrics and checklists per step before judging occurs
- **External judge** - LLM-as-a-judge verification using meta-judge specification with iteration loop
- **Parallel speed** - Meta-judge and implementation agent run in parallel per step; meta-judge specification reused across retries within that step

</context>

## Arguments

The rest: https://github.com/NeoLabHQ/context-engineering-kit/blob/HEAD/antigravity/skills/do-in-steps/SKILL.md